Gagan Agrawal - RankMe

346 papers A* 18A 76B 73C 20Misc 20Journal 51Unranked 85

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations. ASPLOS (2) Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026	J	`jnl`	FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations. CoRR Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026	J	`jnl`	From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs. CoRR Kaiyuan Deng, Hangyu Zheng, Minghai Qing, Kunxiong Zhu, Gen Li, Yang Xiao, Lan Emily Zhang, Linke Guo, Bo Hui, Yanzhi Wang, Geng Yuan, Gagan Agrawal, Wei Niu, Xiaolong Ma
2025	—	`conf`	A Novel Transfer Learning Approach for Detecting Unseen Anomalies. ICKG Khan Mohammad Al Farabi, Gagan Agrawal
2025	—	`conf`	Augmented Tabular Adversarial Evasion Attacks with Constraint Satisfaction Guarantees. ARES (2) Nour Alhussien, Gagan Agrawal, Ahmed Aleroud
2025	B	`conf`	Optimizing 3D Gaussian Splattering for Mobile GPUs. PACT Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025	J	`jnl`	Optimizing 3D Gaussian Splattering for Mobile GPUs. CoRR Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025	—	`conf`	Poster: A Scalable and Fault-Tolerant Decentralized Middleware for CI/CD Workflow. IPDPS (Workshops) Amena Begum Farha, Abdullah Al-Mamun, Gagan Agrawal
2025	B	`conf`	Poster: HeteroSched: Co-Optimizing Scheduling and Parallelization for Deep Learning Workloads. PACT Bahram Afsharmanesh, Md. Musfiqur Rahman Sanim, AmirAli Mirian, Gagan Agrawal
2025	—	`conf`	Reinventing CI/CD for Collaborative Sciences: A Blockchain-Integrated Decentralized Middleware for Scalable and Fault-Tolerant Workflows. eScience Amena Begum Farha, Abdullah Al-Mamun, Gagan Agrawal, Ahmed Aleroud
2025	A	`conf`	TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations. ICS Jiexiong Guan, Zhenqing Hu, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Evgenia Smirni, Gang Zhou, Gagan Agrawal, Bin Ren
2025	B	`conf`	ZTP: A Scalable and Lightweight Privacy-Preserving Blockchain via Scale-Free Quorums and Geometric Fragmentation. ICPP Abdullah Al-Mamun, Dongfang Zhao, Gagan Agrawal, Ahmed Aleroud, Mohamed I. Ibrahem
2024	—	`conf`	Evaluating and Extending Techniques for Fine-Grained Text-Topic Prediction for Digital Forensic Data. ICDF2C (2) Khan Mohammad Al Farabi, Gagan Agrawal, Gokila Dorai, Rajon Bardhan, Hoda Maleki, Thomas E. Kadri
2024	B	`conf`	Federated Contrastive Learning of Graph-Level Representations. IEEE Big Data Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin
2024	J	`jnl`	Federated Contrastive Learning of Graph-Level Representations. CoRR Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin
2024	—	`conf`	Message from the 2024 General Co-chairs. IPDPS (Workshops) Gagan Agrawal, Alba Cristina Melo
2024	C	`conf`	Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption. SECRYPT Mahdieh Heidaripour, Ladan Kian, Maryam Rezapour, Mark Holcomb, Benjamin Fuller, Gagan Agrawal, Hoda Maleki
2024	J	`jnl`	Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption. IACR Cryptol. ePrint Arch. Mahdieh Heidaripour, Ladan Kian, Maryam Rezapour, Mark Holcomb, Benjamin Fuller, Gagan Agrawal, Hoda Maleki
2024	J	`jnl`	Scalable Deep Metric Learning on Attributed Graphs. CoRR Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
2024	—	`conf`	SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. ASPLOS (3) Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024	J	`jnl`	SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. CoRR Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024	—	`conf`	SoD ASPLOS (1) Wei Niu, Gagan Agrawal, Bin Ren
2024	J	`jnl`	SoD CoRR Wei Niu, Gagan Agrawal, Bin Ren
2023	—	`conf`	Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS. SecureComm (1) Neea Rusch, Asma Jodeiri Akbarfam, Hoda Maleki, Gagan Agrawal, Gokila Dorai
2023	B	`conf`	End-to-End LU Factorization of Large Matrices on GPUs. PPoPP Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
2023	—	`conf`	ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability. TPS-ISA Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki, Gokila Dorai, Gagan Agrawal
2023	J	`jnl`	ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability. CoRR Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki, Gokila Dorai, Gagan Agrawal
2023	—	`conf`	Scalable Deep Metric Learning on Attributed Graphs. CSoNet Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
2023	—	`conf`	SecFob: A Remote Keyless Entry Security Solution. ISC2 Braxton Bolt, Hoda Maleki, Gagan Agrawal, Jeffrey D. Morris, Khan Farabi
2022	B	`conf`	Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
2022	A*	`conf`	GCD MICRO Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren
2022	B	`conf`	GPU Adaptive In-situ Parallel Analytics (GAP). PACT Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
2022	A	`conf`	Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations. IPDPS Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
2022	B	`conf`	Securing Pseudonym Schemes for Vehicular Privacy. IEEE Big Data Md Hasan, Hoda Maleki, Gagan Agrawal
2021	—	`conf`	A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
2021	Misc	`conf`	A Fused Inference Design for Pattern-Based Sparse CNN on Edge Devices. HiPC Jia Guo, Radu Teodorescu, Gagan Agrawal
2021	Misc	`conf`	A Programming API Implementation for Secure Data Analytics Applications with Homomorphic Encryption on GPUs. HiPC Shuangsheng Lou, Gagan Agrawal
2021	B	`conf`	Constraint-embedded paraphrase generation for commercial tweets. ASONAM Renhao Cui, Gagan Agrawal, Rajiv Ramnath
2021	J	`jnl`	DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion. CoRR Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021	A*	`conf`	DNNFusion: accelerating deep neural networks execution with advanced operator fusion. PLDI Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021	B	`conf`	Fused DSConv: Optimizing Sparse CNN Inference for Execution on Edge Devices. CCGRID Jia Guo, Radu Teodorescu, Gagan Agrawal
2021	B	`conf`	Integrity Verification for Streaming IoT Applications with a Minimalist Logging Scheme. SMARTCOMP Shuangsheng Lou, Nisha Panwar, Gagan Agrawal
2021	C	`conf`	Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model. ICFEC Shuangsheng Lou, Gagan Agrawal
2021	—	`conf`	Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices. IEEE BigData Dane Troyer, Justin Henry, Hoda Maleki, Gokila Dorai, Bethany Sumner, Gagan Agrawal, Jon Ingram
2021	C	`conf`	Sampling-based Sparse Format Selection on GPUs. SBAC-PAD Gangyi Zhu, Gagan Agrawal
2021	J	`jnl`	Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath
2021	A	`conf`	Scaling Sparse Matrix Multiplication on CPU-GPU Nodes. IPDPS Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
2021	Misc	`conf`	Shrinking Sample Search Algorithm for Automatic Tuning of GPU Kernels. HiPC Xiang Li, Gagan Agrawal
2020	B	`conf`	A Pattern-Based API for Mapping Applications to a Hierarchy of Multi-Core Devices. CCGRID Jia Guo, Radu Teodorescu, Gagan Agrawal
2020	B	`conf`	A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs. PPoPP Peng Jiang, Changwan Hong, Gagan Agrawal
2020	J	`jnl`	Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning. CoRR Peng Jiang, Gagan Agrawal
2020	J	`jnl`	Combining SIMD and Many/Multi-core Parallelism for Finite-state Machines with Enumerative Speculation. ACM Trans. Parallel Comput. Peng Jiang, Yang Xia, Gagan Agrawal
2020	J	`jnl`	DistriPlan: an optimized join execution framework for geo-distributed scientific data. Distributed Parallel Databases Roee Ebenstein, Gagan Agrawal
2020	A	`conf`	MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems. SC Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
2020	A	`conf`	Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. ICS Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2020	B	`conf`	Scaling out speculative execution of finite-state machines with parallel merge. PPoPP Yang Xia, Peng Jiang, Gagan Agrawal
2020	—	`conf`	Smart Streaming: A High-Throughput Fault-tolerant Online Processing System. IPDPS Workshops Jia Guo, Gagan Agrawal
2020	J	`jnl`	Tweets can tell: activity recognition using hybrid gated recurrent neural networks. Soc. Netw. Anal. Min. Renhao Cui, Gagan Agrawal, Rajiv Ramnath
2019	B	`conf`	A Methodology for Characterizing Sparse Datasets and Its Application to SIMD Performance Prediction. PACT Gangyi Zhu, Peng Jiang, Gagan Agrawal
2019	B	`conf`	Accelerating array joining with integrated value-index. SSDBM Haoyuan Xing, Gagan Agrawal
2019	B	`conf`	Accelerating distributed stochastic gradient descent with adaptive periodic parameter averaging: poster. PPoPP Peng Jiang, Gagan Agrawal
2019	B	`conf`	Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction. CC Yang Xia, Peng Jiang, Gagan Agrawal
2019	J	`jnl`	Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! CoRR Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2019	J	`jnl`	Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets. CoRR Renhao Cui, Gagan Agrawal, Rajiv Ramnath
2019	J	`jnl`	Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. CoRR Renhao Cui, Gagan Agrawal, Rajiv Ramnath
2019	B	`conf`	Tweets can tell: activity recognition using hybrid long short-term memory model. ASONAM Renhao Cui, Gagan Agrawal, Rajiv Ramnath
2018	A*	`conf`	A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication. NeurIPS Peng Jiang, Gagan Agrawal
2018	Misc	`conf`	A Novel Approach for Handling Soft Error in Conjugate Gradients. HiPC Muhammed Emin Ozturk, Marissa Renardy, Yukun Li, Gagan Agrawal, Ching-Shan Chou
2018	Misc	`conf`	A Performance Prediction Framework for Irregular Applications. HiPC Gangyi Zhu, Gagan Agrawal
2018	Misc	`conf`	Achieving Performance and Programmability for MapReduce(-Like) Frameworks. HiPC Jia Guo, Gagan Agrawal
2018	B	`conf`	COMPASS: compact array storage with value index. SSDBM Haoyuan Xing, Gagan Agrawal
2018	A	`conf`	Conflict-free vectorization of associative irregular applications with recent SIMD architectural advances. CGO Peng Jiang, Gagan Agrawal
2018	—	`conf`	FDQ: Advance Analytics Over Real Scientific Array Datasets. eScience Roee Ebenstein, Gagan Agrawal, Jiali Wang, Joshua M. Boley, Rajkumar Kettimuthu
2018	B	`conf`	Revealing parallel scans and reductions in recurrences through function reconstruction. PACT Peng Jiang, Linchuan Chen, Gagan Agrawal
2018	B	`conf`	Revealing parallel scans and reductions in sequential loops through function reconstruction. PPoPP Peng Jiang, Gagan Agrawal
2017	B	`conf`	Combining SIMD and Many/Multi-core Parallelism for Finite State Machines with Enumerative Speculation. PPoPP Peng Jiang, Gagan Agrawal
2017	B	`conf`	DistriPlan: An Optimized Join Execution Framework for Geo-Distributed Scientific Data. SSDBM Roee Ebenstein, Gagan Agrawal
2017	A	`conf`	Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation. ICS Peng Jiang, Gagan Agrawal
2017	—	`conf`	Par-eXpress: A Tool for Analysis of Sequencing Experiments With Ambiguous Assignment of Fragments in Parallel. IPDPS Workshops Mücahid Kutlu, Gagan Agrawal, James S. Blachly
2017	B	`conf`	Supporting Fault-Tolerance in Presence of In-Situ Analytics. CCGrid Jiaqi Liu, Gagan Agrawal
2016	A	`conf`	Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers. IPDPS Rajkumar Kettimuthu, Gagan Agrawal, P. Sadayappan, Ian T. Foster
2016	—	`conf`	Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification. ICDM Workshops Renhao Cui, Gagan Agrawal, Rajiv Ramnath, Vinh Ngoc Khuc
2016	A	`conf`	Exploiting recent SIMD architectural advances for irregular applications. CGO Linchuan Chen, Peng Jiang, Gagan Agrawal
2016	Misc	`conf`	Fault Tolerant Frequent Pattern Mining. HiPC Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016	J	`jnl`	Fault Tolerant Frequent Pattern Mining. CoRR Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016	B	`conf`	Fault Tolerant Support Vector Machines. ICPP Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016	A	`conf`	Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications. ICS Peng Jiang, Linchuan Chen, Gagan Agrawal
2016	C	`conf`	Smart-MLlib: A High-Performance Machine-Learning Library. CLUSTER David Siegal, Jia Guo, Gagan Agrawal
2016	Misc	`conf`	Soft Error Detection for Iterative Applications Using Offline Training. HiPC Jiaqi Liu, Gagan Agrawal
2016	J	`jnl`	User-Assisted Store Recycling for Dynamic Task Graph Schedulers. ACM Trans. Archit. Code Optim. Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren
2016	B	`conf`	User-assisted storage reuse determination for dynamic task graphs. PPoPP Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal
2015	A	`conf`	A Pattern Specification and Optimizations Framework for Accelerating Scientific Computations on Heterogeneous Clusters. IPDPS Linchuan Chen, Xin Huo, Gagan Agrawal
2015	C	`conf`	A Practical Approach for Handling Soft Errors in Iterative Applications. CLUSTER Jiaqi Liu, Mehmet Can Kurt, Gagan Agrawal
2015	B	`conf`	A novel approach for approximate aggregations over arrays. SSDBM Yi Wang, Yu Su, Gagan Agrawal
2015	Misc	`conf`	Algorithm Level Fault Tolerance for Molecular Dynamic Applications. HiPC Jiaqi Liu, Gagan Agrawal
2015	A	`conf`	An elegant sufficiency: load-aware differentiated scheduling of data transfers. SC Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster
2015	—	`conf`	Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors. LCPC Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
2015	—	`conf`	DSDQuery DSI - Querying scientific data repositories with structured operators. IEEE BigData Roee Ebenstein, Gagan Agrawal
2015	A	`conf`	Efficient and Simplified Parallel Graph Processing over CPU and MIC. IPDPS Linchuan Chen, Xin Huo, Bin Ren, Surabhi Jain, Gagan Agrawal
2015	B	`conf`	GEM: A Framework for Developing Shared-Memory Parallel Genomic Applications on Memory Constrained Architectures. ICPP Mücahid Kutlu, Gagan Agrawal
2015	A	`conf`	In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps. HPDC Yu Su, Yi Wang, Gagan Agrawal
2015	Misc	`conf`	Load Balancing and Accelerating Parallel Spatial Join Operations Using Bitmap Indexing. HiPC Sameh Shohdy, Yu Su, Gagan Agrawal
2015	—	`conf`	Low-Overhead Fault-Tolerance Support Using DISC Programming Model. LCPC Mehmet Can Kurt, Bin Ren, Gagan Agrawal
2015	C	`conf`	RE-PAGE: Domain-Specific REplication and PArallel Processing of GEnomic Data. CLUSTER Mücahid Kutlu, Gagan Agrawal
2015	—	`conf`	Rapid Tomographic Image Reconstruction via Large-Scale Parallelization. Euro-Par Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster
2015	B	`conf`	SciCSM: novel contrast set mining over scientific datasets using bitmap indices. SSDBM Gangyi Zhu, Yi Wang, Gagan Agrawal
2015	A	`conf`	Smart: a MapReduce-like framework for in-situ scientific analytics. SC Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang
2015	—	`conf`	Supporting online analytics with user-defined estimation and early termination in a MapReduce-like framework. DISCS@SC Yi Wang, Linchuan Chen, Gagan Agrawal
2015	—	`conf`	Towards methods for systematic research on big data. IEEE BigData Manirupa Das, Renhao Cui, David R. Campbell, Gagan Agrawal, Rajiv Ramnath
2014	J	`jnl`	A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures. ACM Trans. Archit. Code Optim. Bin Ren, Todd Mytkowicz, Gagan Agrawal
2014	A	`conf`	A programming system for xeon phis with runtime SIMD parallelization. ICS Xin Huo, Bin Ren, Gagan Agrawal
2014	A	`conf`	Automating and optimizing data transfers for many-core coprocessors. ICS Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
2014	B	`conf`	Cluster-Based SNP Calling on Large-Scale Genome Sequencing Data. CCGRID Mücahid Kutlu, Gagan Agrawal
2014	A	`conf`	DISC: A Domain-Interaction Based Programming Model with Support for Heterogeneous Execution. SC Mehmet Can Kurt, Gagan Agrawal
2014	J	`jnl`	Effective and efficient data sampling using bitmap indices. Clust. Comput. Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
2014	A	`conf`	Fault-Tolerant Dynamic Task Graph Scheduling. SC Mehmet Can Kurt, Sriram Krishnamoorthy, Kunal Agrawal, Gagan Agrawal
2014	—	`ch.`	Frequent Pattern Mining in Data Streams. Frequent Pattern Mining Victor E. Lee, Ruoming Jin, Gagan Agrawal
2014	J	`jnl`	GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme. IEEE Trans. Parallel Distributed Syst. Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
2014	B	`conf`	Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression. CCGRID Tekin Bicer, Jian Yin, Gagan Agrawal
2014	B	`conf`	Modeling and Optimizing Large-Scale Wide-Area Data Transfers. CCGRID Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan
2014	A	`conf`	PAGE: A Framework for Easy PArallelization of GEnomic Applications. IPDPS Mücahid Kutlu, Gagan Agrawal
2014	—	`conf`	Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data. IPDPS Workshops Yi Wang, Gagan Agrawal, Hatice Gulcin Ozer, Kun Huang
2014	B	`conf`	SAGA: array storage as a DB with support for structural aggregations. SSDBM Yi Wang, Arnab Nandi, Gagan Agrawal
2014	—	`conf`	Scheduling Methods for Accelerating Applications on Architectures with Heterogeneous Cores. IPDPS Workshops Linchuan Chen, Xin Huo, Gagan Agrawal
2014	A	`conf`	Supporting correlation analysis on scientific datasets in parallel and distributed settings. HPDC Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen
2013	—	`conf`	A Compression Framework for Multidimensional Scientific Datasets. IPDPS Workshops Tekin Bicer, Gagan Agrawal
2013	J	`jnl`	Cost and Accuracy Aware Scientific Workflow Composition for Service-Oriented Environments. IEEE Trans. Serv. Comput. David Chiu, Gagan Agrawal
2013	A	`conf`	Efficient scheduling of recursive control flow on GPUs. ICS Xin Huo, Sriram Krishnamoorthy, Gagan Agrawal
2013	A	`conf`	Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications. IPDPS Tekin Bicer, Jian Yin, David Chiu, Gagan Agrawal, Karen Schuchardt
2013	J	`jnl`	Optimizing tensor contraction expressions for hybrid CPU-GPU execution. Clust. Comput. Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski, Gagan Agrawal
2013	A	`conf`	SDQuery DSI: integrating data management support with a wide area data transfer protocol. SC Yu Su, Yi Wang, Gagan Agrawal, Rajkumar Kettimuthu
2013	A	`conf`	SIMD parallelization of applications that traverse irregular data structures. CGO Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte
2013	J	`jnl`	Scheduling concurrent applications on a cluster of CPU-GPU nodes. Future Gener. Comput. Syst. Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2013	B	`conf`	Supporting a Light-Weight Data Management Layer over HDF5. CCGRID Yi Wang, Yu Su, Gagan Agrawal
2013	A	`conf`	Taming massive distributed datasets: data sampling using bitmap indices. HPDC Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens
2012	Misc	`conf`	A fault-tolerant environment for large-scale query processing. HiPC Mehmet Can Kurt, Gagan Agrawal
2012	A	`conf`	Accelerating MapReduce on a coupled CPU-GPU architecture. SC Linchuan Chen, Xin Huo, Gagan Agrawal
2012	J	`jnl`	Compiler and runtime support for enabling reduction computations on heterogeneous systems. Concurr. Comput. Pract. Exp. Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
2012	Misc	`conf`	Fault tolerant parallel data-intensive algorithms. HiPC Mücahid Kutlu, Gagan Agrawal, Oguz Kurt
2012	A	`conf`	Fault tolerant parallel data-intensive algorithms. HPDC Mücahid Kutlu, Gagan Agrawal, Oguz Kurt
2012	B	`conf`	Fine-grained parallel traversals of irregular data structures. PACT Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte
2012	Misc	`conf`	GMProf: A low-overhead, fine-grained profiling approach for GPU programs. HiPC Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal
2012	B	`conf`	Indexing and Parallel Query Processing Support for Visualizing Climate Datasets. ICPP Yu Su, Gagan Agrawal, Jonathan Woodring
2012	—	`conf`	Light-Weight Data Management Solutions for Visualization and Dissemination of Massive Scientific Datasets - Position Paper. SC Companion Gagan Agrawal, Yu Su
2012	A	`conf`	MATE-CG: A Map Reduce-Like Framework for Accelerating Data-Intensive Computations on Heterogeneous Clusters. IPDPS Wei Jiang, Gagan Agrawal
2012	A	`conf`	Optimizing MapReduce for GPUs with effective shared memory usage. HPDC Linchuan Chen, Gagan Agrawal
2012	—	`conf`	Parameterized micro-benchmarking: an auto-tuning approach for complex applications. Conf. Computing Frontiers Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal
2012	J	`jnl`	Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments. IEEE Trans. Serv. Comput. Qian Zhu, Gagan Agrawal
2012	B	`conf`	Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. CCGRID Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar
2012	B	`conf`	SciMATE: A Novel MapReduce-Like Framework for Multiple Scientific Data Formats. CCGRID Yi Wang, Wei Jiang, Gagan Agrawal
2012	A	`conf`	Stratification Based Hierarchical Clustering Over a Deep Web Data Source. SDM Tantan Liu, Gagan Agrawal
2012	A*	`conf`	Stratified k-means clustering over a deep web data source. KDD Tantan Liu, Gagan Agrawal
2012	J	`jnl`	Stratified sampling for data mining on the deep web. Frontiers Comput. Sci. Tantan Liu, Fan Wang, Gagan Agrawal
2012	B	`conf`	Supporting User-Defined Subsetting and Aggregation over Parallel NetCDF Datasets. CCGRID Yu Su, Gagan Agrawal
2012	B	`conf`	Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds. CCGRID Tekin Bicer, David Chiu, Gagan Agrawal
2012	A	`conf`	ValuePack: value-based scheduling framework for CPU-GPU clusters. SC Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2011	—	`conf`	A Cloud-based Dynamic Workflow for Mass Spectrometry Data Analysis. eScience Ashish Nagavaram, Gagan Agrawal, Michael A. Freitas, Kelly H. Telu, Gaurang Mehta, Rajiv Mayani, Ewa Deelman
2011	C	`conf`	A Framework for Data-Intensive Computing with Cloud Bursting. CLUSTER Tekin Bicer, David Chiu, Gagan Agrawal
2011	—	`conf`	A Framework for Elastic Execution of Existing MPI Programs. IPDPS Workshops Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
2011	Misc	`conf`	A dynamic scheduling framework for emerging heterogeneous systems. HiPC Vignesh T. Ravi, Gagan Agrawal
2011	A*	`conf`	Active learning based frequent itemset mining over the deep web. ICDE Tantan Liu, Gagan Agrawal
2011	—	`conf`	An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments. GRID Aarthi Raveendran, Tekin Bicer, Gagan Agrawal
2011	C	`conf`	An approach towards automatic workflow composition through information retrieval. IDEAS David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal
2011	A	`conf`	An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs. ICS Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
2011	J	`jnl`	Analyzing Costs and Optimizations for an Elastic Key-Value Store on Amazon Web Services. Int. J. Next Gener. Comput. David Chiu, Travis Hall, Farhana Kabir, Apeksha Shetty, Gagan Agrawal
2011	—	`conf`	Answering Cross-Source Keyword Queries over Deep Web Data Sources. IC3 Fan Wang, Gagan Agrawal
2011	C	`conf`	Answering complex structured queries over the deep web. IDEAS Fan Wang, Gagan Agrawal
2011	B	`conf`	Compiling Dynamic Data Structures in Python to Enable the Use of Multi-core and Many-core Libraries. PACT Bin Ren, Gagan Agrawal
2011	B	`conf`	Effective and efficient sampling methods for deep web aggregation queries. EDBT Fan Wang, Gagan Agrawal
2011	A	`conf`	Effective stratification for low selectivity queries on deep web data sources. CIKM Fan Wang, Gagan Agrawal
2011	B	`conf`	Evaluating and Optimizing Indexing Schemes for a Cloud-Based Elastic Key-Value Store. CCGRID David Chiu, Apeksha Shetty, Gagan Agrawal
2011	B	`conf`	Ex-MATE: Data Intensive Computing with Large Reduction Objects and Its Application to Graph Mining. CCGRID Wei Jiang, Gagan Agrawal
2011	B	`conf`	GRace: a low-overhead mechanism for detecting data races in GPU programs. PPoPP Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
2011	B	`conf`	Keyword Search Support for Automating Scientific Workflow Composition. SSDBM David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal
2011	—	`conf`	MATE-EC2: a middleware for processing data with AWS. MTAGS@SC Tekin Bicer, David Chiu, Gagan Agrawal
2011	B	`conf`	Parameterized Micro-benchmarking: An Auto-tuning Approach for Complex Applications. PACT Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal
2011	Misc	`conf`	Porting irregular reductions on heterogeneous CPU-GPU configurations. HiPC Xin Huo, Vignesh T. Ravi, Gagan Agrawal
2011	—	`conf`	Poster: a framework for data-intensive computing with cloud bursting. SC Companion Tekin Bicer, David Chiu, Gagan Agrawal
2011	B	`conf`	Practical Loop Transformations for Tensor Contraction Expressions on Multi-level Memory Hierarchies. CC Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal
2011	A	`conf`	Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar
2011	—	`conf`	Translating Chapel to Use FREERIDE: A Case Study in Using an HPC Language for Data-Intensive Computing. IPDPS Workshops Bin Ren, Gagan Agrawal, Bradford L. Chamberlain, Steven J. Deitz
2010	B	`conf`	A Map-Reduce System with an Alternate API for Multi-core Environments. CCGRID Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
2010	C	`conf`	A Self-Healing Approach for a Domain-Specific Deep Web Search Tool. BIBE Fan Wang, Gagan Agrawal
2010	—	`conf`	AUTO-GC: Automatic translation of data mining applications to GPU clusters. IPDPS Workshops Wenjing Ma, Gagan Agrawal
2010	B	`conf`	An integer programming framework for optimizing shared memory use on GPUs. PACT Wenjing Ma, Gagan Agrawal
2010	Misc	`conf`	An integer programming framework for optimizing shared memory use on GPUs. HiPC Wenjing Ma, Gagan Agrawal
2010	Misc	`conf`	Approaches for parallelizing reductions on modern GPUs. HiPC Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal
2010	—	`conf`	Automated and dynamic application accuracy management and resource provisioning in a cloud environment. GRID Smita Vijayakumar, Qian Zhu, Gagan Agrawal
2010	A	`conf`	Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. ICS Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal
2010	—	`conf`	Differential Analysis on Deep Web Data Sources. ICDM Workshops Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal
2010	C	`conf`	Dynamic Resource Provisioning for Data Streaming Applications in a Cloud Environment. CloudCom Smita Vijayakumar, Qian Zhu, Gagan Agrawal
2010	A	`conf`	Elastic Cloud Caches for Accelerating Service-Oriented Computations. SC David Chiu, Apeksha Shetty, Gagan Agrawal
2010	—	`conf`	Evaluating caching and storage options on the Amazon Web Services Cloud. GRID David Chiu, Gagan Agrawal
2010	C	`conf`	Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. BIBE Tantan Liu, Fan Wang, Gagan Agrawal
2010	—	`conf`	Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. DILS Tantan Liu, Fan Wang, Gagan Agrawal
2010	—	`conf`	Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. ICDM Workshops Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal
2010	A	`conf`	Power-Aware Consolidation of Scientific Workflows in Virtualized Environments. SC Qian Zhu, Jiedan Zhu, Gagan Agrawal
2010	—	`conf`	Query Reuse Based Query Planning for Searches over the Deep Web. DEXA (2) Fan Wang, Gagan Agrawal
2010	A	`conf`	Resource provisioning with budget constraints for adaptive applications in cloud environments. HPDC Qian Zhu, Gagan Agrawal
2010	A*	`conf`	Stratified Sampling for Data Mining on the Deep Web. ICDM Tantan Liu, Fan Wang, Gagan Agrawal
2010	A	`conf`	Supporting fault tolerance in a data-intensive computing middleware. IPDPS Tekin Bicer, Wei Jiang, Gagan Agrawal
2010	J	`jnl`	Supporting fault-tolerance for time-critical events in distributed environments. Sci. Program. Qian Zhu, Gagan Agrawal
2009	A	`conf`	A Dynamic Approach toward QoS-Aware Service Workflow Composition. ICWS David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li
2009	B	`conf`	A compiler and runtime system for enabling data mining applications on gpus. PPoPP Wenjing Ma, Gagan Agrawal
2009	A	`conf`	A resource allocation approach for supporting time-critical applications in grid environments. IPDPS Qian Zhu, Gagan Agrawal
2009	A	`conf`	A translation system for enabling data mining applications on GPUs. ICS Wenjing Ma, Gagan Agrawal
2009	J	`jnl`	An adaptive middleware for supporting time-critical event response. Clust. Comput. Qian Zhu, Gagan Agrawal
2009	C	`conf`	Comparing map-reduce and FREERIDE for data-intensive applications. CLUSTER Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
2009	B	`conf`	Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. SSDBM David Chiu, Gagan Agrawal
2009	—	`conf`	Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources. DILS Tantan Liu, Fan Wang, Gagan Agrawal
2009	A*	`conf`	Extracting Output Metadata from Scientific Deep Web Data Sources. ICDM Fan Wang, Gagan Agrawal
2009	B	`conf`	Hierarchical Caches for Grid Workflows. CCGRID David Chiu, Gagan Agrawal
2009	Misc	`conf`	Integrating and optimizing transactional memory in a data mining middleware. HiPC Vignesh T. Ravi, Gagan Agrawal
2009	B	`conf`	Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. CCGRID Vignesh T. Ravi, Gagan Agrawal
2009	—	`conf`	Personality Based Latent Friendship Mining. DMIN Fan Wang, Yuan Hong, Wenbin Zhang, Gagan Agrawal
2009	B	`conf`	SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources. SSDBM Fan Wang, Gagan Agrawal
2009	A	`conf`	Supporting fault-tolerance for time-critical events in distributed environments. SC Qian Zhu, Gagan Agrawal
2009	Misc	`conf`	Supporting load balancing for distributed data-intensive applications. HiPC Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal
2008	—	`ed.`	37th International Conference on Parallel Processing - Workshops, 8-12 September 2008, Portland, Oregon, USA ICPP Workshops Wu-chi Feng, Yuanyuan Yang, Gagan Agrawal
2008	B	`conf`	A Middleware for Developing and Deploying Scalable Remote Mining Services. CCGRID Leonid Glimcher, Gagan Agrawal
2008	—	`conf`	An Adaptive Middleware for Supporting Time-Critical Event Response. ICAC Qian Zhu, Gagan Agrawal
2008	—	`conf`	Composing geoinformatics workflows with user preferences. GIS David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li
2008	—	`conf`	Cost and accuracy sensitive dynamic workflow composition over grid environments. GRID David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li
2008	J	`jnl`	MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explor. Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal
2008	J	`jnl`	Middleware for data mining applications on clusters and grids. J. Parallel Distributed Comput. Leonid Glimcher, Ruoming Jin, Gagan Agrawal
2008	B	`conf`	Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM Fan Wang, Gagan Agrawal, Ruoming Jin
2008	B	`conf`	Resource Allocation for Distributed Streaming Applications. ICPP Qian Zhu, Gagan Agrawal
2008	A	`conf`	Supporting a visualization application on a self-adapting grid middleware. IPDPS Liang Chen, Han-Wei Shen, Gagan Agrawal
2008	A	`conf`	Supporting fault-tolerance in streaming grid applications. IPDPS Qian Zhu, Liang Chen, Gagan Agrawal
2008	A	`conf`	Supporting high performance bioinformatics flat-file data processing using indices. IPDPS Xuan Zhang, Gagan Agrawal
2007	A	`conf`	A Performance Prediction Framework for Grid-Based Data Mining Applications. IPDPS Leonid Glimcher, Gagan Agrawal
2007	—	`ch.`	Frequent Pattern Mining in Data Streams. Data Streams - Models and Algorithms Ruoming Jin, Gagan Agrawal
2007	C	`conf`	Graph and Topological Structure Mining on Scientific Articles. BIBE Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
2007	—	`conf`	Optimizing multiple queries on scientific datasets with partial replicas. GRID Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz
2007	C	`conf`	SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska
2007	B	`conf`	Supporting fault-tolerance in streaming grid applications. PPoPP Qian Zhu, Liang Chen, Gagan Agrawal
2006	C	`conf`	A Tool for Supporting Integration Across Multiple FlatFile Datasets. BIBE Xuan Zhang, Gagan Agrawal
2006	—	`conf`	A Vision for Cyberinfrastructure for Coastal Forecasting and Change Analysis. GSN Gagan Agrawal, Hakan Ferhatosmanoglu, Xutong Niu, Keith W. Bedford, Ron Li
2006	J	`jnl`	A static resource allocation framework for Grid-based streaming applications. Concurr. Comput. Pract. Exp. Liang Chen, Gagan Agrawal
2006	C	`conf`	Assigning Schema Labels Using Ontology And Hueristics. BIBE Xuan Zhang, Ruoming Jin, Gagan Agrawal
2006	C	`conf`	Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
2006	B	`conf`	FREERIDE-G: Supporting Applications that Mine Remote. ICPP Leonid Glimcher, Ruoming Jin, Gagan Agrawal
2006	J	`jnl`	Fast and exact out-of-core and distributed Knowl. Inf. Syst. Ruoming Jin, Anjan Goswami, Gagan Agrawal
2006	A	`conf`	Grid scheduling and protocols - Supporting dynamic migration in tightly coupled grid applications. SC Liang Chen, Qian Zhu, Gagan Agrawal
2006	A*	`conf`	New Sampling-Based Estimators for OLAP Queries. ICDE Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal
2006	C	`conf`	Parallelizing XQuery In a Cluster Environment. IDEAS Xiaogang Li, Gagan Agrawal
2006	—	`conf`	Supporting a Real-Time Distributed Intrusion Detection Application on GATES. Euro-Par Qian Zhu, Liang Chen, Gagan Agrawal
2006	A	`conf`	Supporting self-adaptation in streaming data mining applications. IPDPS Liang Chen, Gagan Agrawal
2006	A*	`conf`	Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE Ruoming Jin, Gagan Agrawal
2006	B	`conf`	Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. ICPP Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz
2005	—	`conf`	A framework to support multiple query optimization for complex mining tasks. MDM/KDD Ruoming Jin, Kaushik Sinha, Gagan Agrawal
2005	J	`jnl`	A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Evaluation Ruoming Jin, Gagan Agrawal
2005	A*	`conf`	An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM Ruoming Jin, Gagan Agrawal
2005	—	`conf`	Code Transformations for One-Pass Analysis. LCPC Xiaogang Li, Gagan Agrawal
2005	J	`jnl`	Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distributed Syst. Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal
2005	—	`conf`	Data Centric Transformations on Non-Integer Iteration Spaces. IEEE PACT Swarup Kumar Sahoo, Gagan Agrawal
2005	A*	`conf`	Discovering frequent topological structures from graph datasets. KDD Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal
2005	A*	`conf`	Efficient Evaluation of XQuery over Streaming Data. VLDB Xiaogang Li, Gagan Agrawal
2005	—	`conf`	Enabling information integration and workflows in a grid environment with automatic wrapper generation. GRID Xuan Zhang, Gagan Agrawal
2005	B	`conf`	Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. ICPP Wei Du, Gagan Agrawal
2005	—	`conf`	Learning Layouts of Biological Datasets Semi-automatically. DILS Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
2005	A	`conf`	Parallelizing a Defect Detection and Categorization Application. IPDPS Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju
2005	B	`conf`	Servicing range queries on multidimensional datasets with partial replicas. CCGRID Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz
2005	J	`jnl`	Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. Ruoming Jin, Ge Yang, Gagan Agrawal
2005	A*	`conf`	Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD Ruoming Jin, Kaushik Sinha, Gagan Agrawal
2005	C	`conf`	Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
2004	A	`conf`	An Approach for Automatic Data Virtualization. HPDC Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Tahsin M. Kurç, Sivaramakrishnan Narayanan, Joel H. Saltz
2004	A*	`conf`	Fast and Exact Out-of-Core K-Means Clustering. ICDM Anjan Goswami, Ruoming Jin, Gagan Agrawal
2004	A	`conf`	GATES: A Grid-Based Middleware for Processing Distributed Data Streams. HPDC Liang Chen, Kolagatla Reddy, Gagan Agrawal
2004	A	`conf`	Language and Compiler Support for Adaptive Applications. SC Wei Du, Gagan Agrawal
2004	B	`conf`	Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. ICPP Wei Du, Gagan Agrawal
2004	—	`conf`	Parallelizing EM Clustering Algorithm on a Cluster of SMPs. Euro-Par Leonid Glimcher, Gagan Agrawal
2004	—	`conf`	Resource allocation in a middleware for streaming data. Middleware for Grid Computing Liang Chen, Gagan Agrawal
2004	A	`conf`	Scaling and Parallelizing a Scientific Feature Mining Application Using a Cluster Middleware. IPDPS Leonid Glimcher, Xuan Zhang, Gagan Agrawal
2004	—	`conf`	Self-Adaptation in a Middleware for Processing Data Streams. ICAC Liang Chen, Gagan Agrawal
2004	—	`conf`	Supporting SQL-3 Aggregations on Grid-Based Data Repositories. LCPC Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Joel H. Saltz
2004	—	`conf`	Supporting XML Based High-Level Abstractions on HDF5 Datasets: A Case Study in Automatic Data Virtualization. LCPC Swarup Kumar Sahoo, Gagan Agrawal
2004	B	`conf`	Using Tiling to Scale Parallel Data Cube Construction. ICPP Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal
2004	—	`conf`	XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques. XIME-P Xiaogang Li, Swarup Kumar Sahoo, Gagan Agrawal
2003	A	`conf`	A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS Xiaogang Li, Ruoming Jin, Gagan Agrawal
2003	A	`conf`	Communication and Memory Efficient Parallel Decision Tree Construction. SDM Ruoming Jin, Gagan Agrawal
2003	B	`conf`	Communication and Memory Optimal Parallel Data Cube Construction. ICPP Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal
2003	A	`conf`	Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. SC Wei Du, Renato Ferreira, Gagan Agrawal
2003	A	`conf`	Compiler Supported Coarse-Grained Pipelined Parallelism: Why and How. IPDPS Wei Du, Gagan Agrawal
2003	A	`conf`	Compiler support for efficient processing of XML datasets. ICS Xiaogang Li, Renato Ferreira, Gagan Agrawal
2003	A*	`conf`	Efficient decision tree construction on streaming data. KDD Ruoming Jin, Gagan Agrawal
2003	A	`conf`	Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS Ge Yang, Ruoming Jin, Gagan Agrawal
2003	J	`jnl`	Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Gener. Comput. Syst. Ge Yang, Ruoming Jin, Gagan Agrawal
2003	A	`conf`	Optimizing Reduction Computations In a Distributed Environment. SC Tahsin M. Kurç, Feng Lee, Gagan Agrawal, Ümit V. Çatalyürek, Renato Ferreira, Joel H. Saltz
2003	Misc	`conf`	Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC Ruoming Jin, Ge Yang, Gagan Agrawal
2003	—	`conf`	Supporting High-Level Abstractions through XML Technology. LCPC Xiaogang Li, Gagan Agrawal
2003	—	`conf`	Using XQuery for Flat-File Based Scientific Datasets. DBPL Xiaogang Li, Gagan Agrawal
2002	A	`conf`	Compiler and Runtime Support for Irregular Reductions on a Multithreaded Architecture. IPDPS Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar
2002	—	`conf`	Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC Xiaogang Li, Ruoming Jin, Gagan Agrawal
2002	A	`conf`	Compiler supported high-level abstractions for sparse disk-resident datasets. ICS Renato Ferreira, Gagan Agrawal, Joel H. Saltz
2002	A	`conf`	Compiling Several Classes of Communication Patterns on a Multithreaded Architecture. IPDPS Rishi Kumar, Gagan Agrawal, Guang R. Gao
2002	J	`jnl`	Data parallel language and compiler support for data intensive applications. Parallel Comput. Renato Ferreira, Gagan Agrawal, Joel H. Saltz
2002	A	`conf`	Design and Evaluation of a High-Level Interface for Data Mining. IPDPS Ruoming Jin, Gagan Agrawal
2002	B	`conf`	Developing Distributed Data Mining Implementations for a Grid Environment. CCGRID Wei Du, Gagan Agrawal
2002	B	`conf`	Evaluating a Demand Driven Technique for Call Graph Construction. CC Gagan Agrawal, Jinqian Li, Qi Su
2002	J	`jnl`	Implementation and evaluation of a communication intensive application on the EARTH multithreaded system. Concurr. Comput. Pract. Exp. Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao
2002	B	`conf`	Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID Ge Yang, Ruoming Jin, Gagan Agrawal
2002	A*	`conf`	Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS Ruoming Jin, Gagan Agrawal
2002	—	`conf`	Runtime support for parallelizing data mining algorithms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Ruoming Jin, Gagan Agrawal
2002	A	`conf`	Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM Ruoming Jin, Gagan Agrawal
2002	—	`conf`	Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par Ruoming Jin, Gagan Agrawal
2001	A	`conf`	A Middleware for Developing Parallel Data Mining Applications. SDM Ruoming Jin, Gagan Agrawal
2001	—	`conf`	An Execution Strategy for Irregular Reductions on Multithreaded Architectures. PP Gary M. Zoppetti, Gagan Agrawal
2001	A	`conf`	An efficient association mining implementation on clusters of SMP. IPDPS Ruoming Jin, Gagan Agrawal
2001	—	`conf`	Compiler and Middleware Support for Scalable Data Mining. LCPC Gagan Agrawal, Ruoming Jin, Xiaogang Li
2001	—	`conf`	Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. IEEE PACT Renato Ferreira, Joel H. Saltz, Gagan Agrawal
2001	—	`conf`	Evaluating explicitly context-sensitive program slicing. PASTE Gagan Agrawal, Liang Guo
2001	—	`conf`	Impact of Data Distribution on Performance of Irregular Reductions on Multithreaded Architectures. HPCN Europe Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar
2000	A	`conf`	Automatic compiler techniques for thread coarsening for multithreaded architectures. ICS Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock, José Nelson Amaral, Xinan Tang, Guang R. Gao
2000	—	`conf`	Compiling Data Intensive Applications with Spatial Coordinates. LCPC Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz
2000	A	`conf`	Compiling object-oriented data intensive applications. ICS Renato Ferreira, Gagan Agrawal, Joel H. Saltz
2000	B	`conf`	Demand-Driven Construction of Call Graphs. CC Gagan Agrawal
2000	—	`conf`	Developing a Communication Intensive Application on the EARTH Multithreaded Architecture (Distinguished Paper). Euro-Par Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao
2000	—	`conf`	High Level Programming Methodologies for Data Intensive Computations. LCR Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz
2000	A	`conf`	Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path. SC Kevin B. Theobald, Gagan Agrawal, Rishi Kumar, Gerd Heber, Guang R. Gao, Paul Stodghill, Keshav Pingali
2000	J	`jnl`	Porting and performance evaluation of irregular codes using OpenMP. Concurr. Pract. Exp. Dixie Hisley, Gagan Agrawal, Punyam Satya-narayana, Lori L. Pollock
1999	J	`jnl`	A General Interprocedural Framework for Placement of Split-Phase Large Latency Operations. IEEE Trans. Parallel Distributed Syst. Gagan Agrawal
1999	J	`jnl`	A Novel Program Representation for Interprocedural Analysis. ACM SIGPLAN Notices Gagan Agrawal, Shyamala Murthy, Chandrashekar Garud
1999	—	`conf`	Advanced Communication Optimaizations for Data-Parallel Programs. HPCN Europe Gagan Agrawal
1999	J	`jnl`	Data Distribution Analysis for Irregular and Adaptive Codes. Parallel Process. Lett. Gagan Agrawal
1999	—	`conf`	Simultaneous Demand-Driven Data-Flow and Call Graph Analysis. ICSM Gagan Agrawal
1999	—	`conf`	Thresholding for Work Distribution of Recursive, Multithreaded Functions. LCPC Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock
1998	B	`conf`	Automatic Data Partitioning for Irregular and Adaptive Applications. ICPP Gagan Agrawal
1998	—	`conf`	Evaluating the Effectiveness of a Parallelizing Compiler. LCR Dixie Hisley, Gagan Agrawal, Lori L. Pollock
1998	—	`conf`	I/O Granularity Transformations. LCPC Gagan Agrawal
1998	J	`jnl`	Interprocedural Partial Redundancy Elimination With Application to Distributed Memory Compilation. IEEE Trans. Parallel Distributed Syst. Gagan Agrawal
1997	J	`jnl`	Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. Softw. Pract. Exp. Gagan Agrawal, Joel H. Saltz
1997	J	`jnl`	Programming Irregular Applications: Runtime Support, Compilation and Tools. Adv. Comput. Joel H. Saltz, Gagan Agrawal, Chialin Chang, Raja Das, Guy Edjlali, Paul Havlak, Yuan-Shin Hwang, Bongki Moon, Ravi Ponnusamy, Shamik D. Sharma, Alan Sussman, Mustafa Uysal
1996	A	`conf`	An Interprocedural Framework for Placement of Asynchronous I/O Operations. International Conference on Supercomputing Gagan Agrawal, Anurag Acharya, Joel H. Saltz
1995	J	`jnl`	An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications. IEEE Trans. Parallel Distributed Syst. Gagan Agrawal, Alan Sussman, Joel H. Saltz
1995	J	`jnl`	Coding-Based Replication Schemes for Distributed Systems. IEEE Trans. Parallel Distributed Syst. Gagan Agrawal, Pankaj Jalote
1995	—	`conf`	Data parallel programming in an adaptive environment. IPPS Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. Saltz
1995	A	`conf`	Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. SC Gagan Agrawal, Joel H. Saltz
1995	—	`conf`	Interprocedural Data Flow Based Optimizations for Compilation of Irregular Problems. LCPC Gagan Agrawal, Joel H. Saltz
1995	A*	`conf`	Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI Gagan Agrawal, Joel H. Saltz, Raja Das
1995	—	`conf`	Runtime Support for Programming in Adaptive Parallel Environments. LCR Gagan Agrawal, Guy Edjlali, Alan Sussman, Jim Humphries, Joel H. Saltz
1994	—	`conf`	Interprocedural Communication Optimizations for Distributed Memory Compilation. LCPC Gagan Agrawal, Joel H. Saltz
1993	A	`conf`	Compiler and runtime support for structured and block structured applications. SC Gagan Agrawal, Alan Sussman, Joel H. Saltz
1992	A	`conf`	An Efficient Protocol for Voting In Distributed Systems. ICDCS Gagan Agrawal, Pankaj Jalote
1992	B	`conf`	Availability of Coding Based Replication Schemes. SRDS Gagan Agrawal
1992	A*	`conf`	Using Coding to Support Data Resiliency in Distributed Systems. ICDE Pankaj Jalote, Gagan Agrawal