Sayan Ghosh - RankMe

111 papers A* 2A 7B 4C 2Misc 2Journal 58Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BladeSDF : Unconditional and Conditional Generative Modeling of Representative Blade Geometries Using Signed Distance Functions. CoRR Ashish S. Nair, Sandipp Krishnan Ravi, Itzel Salgado, Changjie Sun, Sayan Ghosh, Liping Wang
2026	J	`jnl`	Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents. CoRR Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari
2025	J	`jnl`	Analyzing inference workloads for spatiotemporal modeling. Future Gener. Comput. Syst. Milan Jain, Nicolas Bohm Agostini, Sayan Ghosh, Antonino Tumeo
2025	—	`conf`	Anonymized Network Sensing using C++26 std::execution on GPUs. HPEC Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2025	J	`jnl`	Anonymized Network Sensing using C++26 std::execution on GPUs. CoRR Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2025	J	`jnl`	ApproxJoin: Approximate Matching for Efficient Verification in Fuzzy Set Similarity Join. CoRR Michael Mandulak, S. M. Ferdous, Sayan Ghosh, Mahantesh Halappanavar, George M. Slota
2025	C	`conf`	Concepts for Designing Modern C++ Interfaces for MPI. EuroMPI C. Nicole Avans, Alfredo A. Correa, Sayan Ghosh, Matthias Schimek, Joseph Schuchart, Anthony Skjellum, Evan Drake Suggs, Tim Niklas Uhl
2025	J	`jnl`	Concepts for designing modern C++ interfaces for MPI. CoRR C. Nicole Avans, Alfredo A. Correa, Sayan Ghosh, Matthias Schimek, Joseph Schuchart, Anthony Skjellum, Evan Drake Suggs, Tim Niklas Uhl
2025	J	`jnl`	EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models. CoRR Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Shao Tang, Sayan Ghosh, Xuanzhao Dong, Rajat Koner, Yalin Wang
2025	J	`jnl`	Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection. CoRR Abrar Anwar, Rohan Gupta, Zain Merchant, Sayan Ghosh, Willie Neiswanger, Jesse Thomason
2025	J	`jnl`	Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network. Biomed. Signal Process. Control. Sayan Ghosh, Vigneswaran Chandrasekaran, Nurani Rajagopal Rohan, V. Srinivasa Chakravarthy
2025	A*	`conf`	Enhancing Language Model Agents using Diversity of Thoughts. ICLR Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras
2025	J	`jnl`	Interpretable multi-source data fusion through Latent Variable Gaussian Process. Eng. Appl. Artif. Intell. Sandipp Krishnan Ravi, Yigitcan Comlek, Arjun Pathak, Vipul Gupta, Rajnikant Umretiya, Andrew Hoffman, Ghanshyam Pilania, Piyush Pandita, Sayan Ghosh, Nathaniel Mckeever, Wei Chen, Liping Wang
2025	A	`conf`	Locality Aware Process Remapping for Distributed-Memory Graph Workloads. IPDPS Md Nahid Newaz, Sayan Ghosh, Nathan R. Tallent, Guangzhi Qu
2025	J	`jnl`	MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction. CoRR Guoyao Li, Ran He, Shusen Jing, Kayhan Behdin, Yubo Wang, Sundara Raman Ramachandran, Chanh Nguyen, Jian Sheng, Xiaojing Ma, Chuanrui Zhu, Sriram Vasudevan, Muchen Wu, Sayan Ghosh, Lin Su, Qingquan Song, Xiaoqing Wang, Zhipeng Wang, Qing Lan, Yanning Chen, Jingwei Wu, Luke Simon, Wenjing Zhang, Qi Guo, Fedor Borisyuk
2025	J	`jnl`	Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. Frontiers Neuroinformatics Sayan Ghosh, Dipayan Biswas, Nurani Rajagopal Rohan, Sujith Vijayan, V. Srinivasa Chakravarthy
2025	J	`jnl`	Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs. CoRR Sayan Ghosh, Shahzaib Saqib Warraich, Dhruv Tarsadiya, Gregory Yauney, Swabha Swayamdipta
2025	J	`jnl`	Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search. CoRR Kayhan Behdin, Qingquan Song, Sriram Vasudevan, Jian Sheng, Xiaojing Ma, Z. Zhou, Chuanrui Zhu, Guoyao Li, Chanh Nguyen, Sayan Ghosh, Hejian Sang, Ata Fatahi Baarzi, Sundara Raman Ramachandran, Xiaoqing Wang, Qing Lan, Vinay Y. S, Qi Guo, Caleb Johnson, Zhipeng Wang, Fedor Borisyuk
2024	J	`jnl`	Analysis and Benchmarking of feature reduction for classification under computational constraints. Mach. Learn. Sci. Technol. Omer Subasi, Sayan Ghosh, Joseph B. Manzano, Bruce Palmer, Andrés Márquez
2024	—	`conf`	Compare without Despair: Reliable Preference Evaluation with Generation Separability. EMNLP (Findings) Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta
2024	J	`jnl`	Compare without Despair: Reliable Preference Evaluation with Generation Separability. CoRR Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta
2024	J	`jnl`	Deep Oscillatory Neural Network. CoRR Nurani Rajagopal Rohan, Vigneswaran C, Sayan Ghosh, Kishore Rajendran, Gaurav A, V. Srinivasa Chakravarthy
2024	—	`conf`	Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays. HPEC Bruce Palmer, Sayan Ghosh, Andrés Márquez
2024	A	`conf`	Efficient Weighted Graph Matching on GPUs. SC Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota
2024	J	`jnl`	Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. CoRR Nathan R. Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven R. Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell
2024	A	`conf`	Graph Analytics on Jellyfish topology. IPDPS Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Ming Hua
2024	J	`jnl`	Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process. CoRR Yigitcan Comlek, Sandipp Krishnan Ravi, Piyush Pandita, Sayan Ghosh, Liping Wang, Wei Chen
2024	—	`conf`	Impact of Write-Allocate Elimination on Fujitsu A64FX. HPC Asia Workshops Yan Kang, Sayan Ghosh, Mahmut T. Kandemir, Andrés Márquez
2024	J	`jnl`	Instance Segmentation and Teeth Classification in Panoramic X-rays. CoRR Devichand Budagam, Ayush Kumar, Sayan Ghosh, Anuj Shrivastav, Azamat Zhanatuly Imanbayev, Iskander Rafailovich Akhmetov, Dmitrii I. Kaplun, Sergey Antonov, Artem Rychenkov, Gleb Cyganov, Aleksandr Sinitca
2024	J	`jnl`	Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process. CoRR Sandipp Krishnan Ravi, Yigitcan Comlek, Wei Chen, Arjun Pathak, Vipul Gupta, Rajnikant Umretiya, Andrew Hoffman, Ghanshyam Pilania, Piyush Pandita, Sayan Ghosh, Nathaniel Mckeever, Liping Wang
2024	C	`conf`	MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. CLUSTER Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari
2024	J	`jnl`	MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. CoRR Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari
2024	Misc	`conf`	Message from the TPC Chairs: HOTI 2024. HOTI Rohit Zambre, Sayan Ghosh
2024	—	`conf`	Studying CPU and memory utilization of applications on Fujitsu A64FX and Nvidia Grace Superchip. MEMSYS Yan Kang, Sayan Ghosh, Mahmut T. Kandemir, Andrés Márquez
2023	—	`conf`	Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. EMNLP (Findings) Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang
2023	J	`jnl`	Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. CoRR Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang
2023	—	`conf`	Emotion Classification and Respective Sticker Mapping Using Convolutional Neural Networks. ICCCNT Sayan Ghosh, Raja Karmakar, Twinkle Chatterjee, Sandipan Ghosal
2023	J	`jnl`	Green Federated Learning. CoRR Ashkan Yousefpour, Shen Guo, Ashish Shenoy, Sayan Ghosh, Pierre Stock, Kiwan Maeng, Schalk-Willem Krüger, Michael G. Rabbat, Carole-Jean Wu, Ilya Mironov
2023	—	`conf`	LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. ACL (Findings) Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
2023	—	`conf`	Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. EMNLP (Findings) Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
2023	J	`jnl`	Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. CoRR Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
2023	A*	`conf`	Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. EMNLP Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
2023	J	`jnl`	Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. CoRR Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
2023	J	`jnl`	Pruning Compact ConvNets for Efficient Inference. CoRR Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
2023	J	`jnl`	Reconciling Security and Communication Efficiency in Federated Learning. IEEE Data Eng. Bull. Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock
2023	J	`jnl`	When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA. CoRR Jessica Zhao, Sayan Ghosh, Akash Bharadwaj, Chih-Yao Ma
2022	J	`jnl`	A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. CoRR Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
2022	J	`jnl`	A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. CoRR Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
2022	—	`conf`	A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal. ICONIP (2) Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, Raju Surampudi Bapi, V. Srinivasa Chakravarthy
2022	B	`conf`	Batched Graph Community Detection on GPUs. PACT Han-Yi Chou, Sayan Ghosh
2022	—	`conf`	CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. ACL (1) Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
2022	J	`jnl`	CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. CoRR Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
2022	J	`jnl`	Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. Sayan Ghosh, Nathan R. Tallent, Mahantesh Halappanavar
2022	—	`conf`	Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure. HPEC Sayan Ghosh
2022	J	`jnl`	LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. CoRR Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
2022	—	`conf`	Learning to Mediate Disparities Towards Pragmatic Communication. ACL (1) Yuwei Bao, Sayan Ghosh, Joyce Chai
2022	J	`jnl`	Learning to Mediate Disparities Towards Pragmatic Communication. CoRR Yuwei Bao, Sayan Ghosh, Joyce Chai
2022	J	`jnl`	Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds. Entropy Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Liping Wang
2022	J	`jnl`	Pulse Shape Simulation and Discrimination using Machine-Learning Techniques. CoRR Shubham Dutta, Sayan Ghosh, Satyaki Bhattacharya, Satyajit Saha
2022	J	`jnl`	Reconciling Security and Communication Efficiency in Federated Learning. CoRR Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock
2022	—	`conf`	Sparse Deep Neural Network Inference Using Different Programming Models. HPEC Hyungro Lee, Milan Jain, Sayan Ghosh
2022	J	`jnl`	Special Issue on Hot Interconnects. IEEE Micro Sayan Ghosh, Ryan E. Grant, Min Si
2022	J	`jnl`	Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2022	—	`conf`	Workload characterization of a time-series prediction system for spatio-temporal data. CF Milan Jain, Sayan Ghosh, Sai Pushpak Nandanoori
2022	—	`conf`	ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. ACL (1) Sayan Ghosh, Shashank Srivastava
2021	—	`conf`	Adversarial Scrubbing of Demographic Information for Text Classification. EMNLP (1) Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi
2021	J	`jnl`	Adversarial Scrubbing of Demographic Information for Text Classification. CoRR Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi
2021	J	`jnl`	Bayesian-entropy gaussian process for constrained metamodeling. Reliab. Eng. Syst. Saf. Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
2021	—	`conf`	Data-based Discovery of Governing Equations. AAAI Spring Symposium: MLPS Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem
2021	J	`jnl`	EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
2021	—	`conf`	Graph analytics in the exascale era. CF Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh
2021	—	`conf`	How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL/IJCNLP (2) Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava
2021	J	`jnl`	Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. CoRR Sayan Ghosh, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Valeria Andreoli, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang
2021	—	`conf`	Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. EMNLP (Findings) Sayan Ghosh, Shashank Srivastava
2021	J	`jnl`	Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. CoRR Sayan Ghosh, Shashank Srivastava
2021	J	`jnl`	Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
2021	B	`conf`	RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA. CCGRID Sayan Ghosh, Yanfei Guo, Pavan Balaji, Assefaw H. Gebremedhin
2021	J	`jnl`	Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design. CoRR Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh
2021	A	`conf`	Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2021	—	`conf`	Towards Modern C++ Language Support for MPI. ExaMPI@SC Sayan Ghosh, Clara Alsobrooks, Martin Rüfenacht, Anthony Skjellum, Purushotham V. Bangalore, Andrew Lumsdaine
2021	J	`jnl`	ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. CoRR Sayan Ghosh, Shashank Srivastava
2020	J	`jnl`	A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. CoRR Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris
2020	J	`jnl`	Advances in Bayesian Probabilistic Modeling for Industrial Applications. CoRR Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai-Kumar, Suryarghya Chakrabarti, Liping Wang
2020	J	`jnl`	Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. CoRR Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang
2020	J	`jnl`	Bayesian task embedding for few-shot Bayesian optimization. CoRR Steven Atkinson, Sayan Ghosh, Natarajan Chennimalai-Kumar, Genghis Khan, Liping Wang
2020	J	`jnl`	Data-based Discovery of Governing Equations. CoRR Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem
2020	—	`conf`	PRover: Proof Generation for Interpretable Reasoning over Rules. EMNLP (1) Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal
2020	J	`jnl`	PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal
2020	—	`conf`	TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure. HPEC Sayan Ghosh, Mahantesh Halappanavar
2019	J	`jnl`	A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty. CoRR Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang
2019	A	`conf`	Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Assefaw H. Gebremedhin
2019	—	`conf`	Exploring color variations for vector graphics. SIGGRAPH Posters Sayan Ghosh, Jose Echevarria, Vineet Batra, Ankit Phogat
2019	—	`conf`	Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2018	A	`conf`	Distributed Louvain Algorithm for Graph Community Detection. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin
2018	—	`conf`	MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2018	—	`conf`	Scalable Distributed Memory Community Detection Using Vite. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2016	—	`conf`	A New Form of Fuzzy Reasoning Tool to Ensure Both Accuracy and Readability. SoCPaR Sayan Ghosh, Ayananta Das, Dilip Kumar Pratihar
2016	B	`conf`	One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental. ICPP Sayan Ghosh, Jeff R. Hammond, Antonio J. Peña, Pavan Balaji, Assefaw Hadish Gebremedhin, Barbara M. Chapman
2016	Misc	`conf`	Parallelization of Bin Packing on Multicore Systems. HiPC Sayan Ghosh, Assefaw Hadish Gebremedhin
2014	—	`conf`	Implementing OpenSHMEM Using MPI-3 One-Sided Communication. OpenSHMEM Jeff R. Hammond, Sayan Ghosh, Barbara M. Chapman
2014	—	`conf`	Native Mode-Based Optimizations of Remote Memory Accesses in OpenSHMEM for Intel Xeon Phi. PGAS Naveen Namashivayam, Sayan Ghosh, Dounia Khaldi, Deepak Eachempati, Barbara M. Chapman
2014	J	`jnl`	Performance of CPU/GPU compiler directives on ISO/TTI kernels. Computing Sayan Ghosh, Terrence Liao, Henri Calandra, Barbara M. Chapman
2013	—	`conf`	Performance Analysis of the NWChem TCE for Different Communication Patterns. PMBS@SC Priyanka Ghosh, Jeff R. Hammond, Sayan Ghosh, Barbara M. Chapman
2013	—	`conf`	Statistical modeling of power/energy of scientific kernels on a multi-GPU system. IGCC Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman
2012	A	`conf`	Automatic Speech Segmentation Using Probabilistic Latent Component Modeling. INTERSPEECH Sayan Ghosh, T. V. Sreenivas
2012	—	`conf`	Experiences with OpenMP, PGI, HMPP and OpenACC Directives on ISO/TTI Kernels. SC Companion Sayan Ghosh, Terrence Liao, Henri Calandra, Barbara M. Chapman
2012	—	`conf`	Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels. SC Companion Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman
2011	J	`jnl`	Micro air vehicle path planning in fuzzy quadtree framework. Appl. Soft Comput. Sayan Ghosh, Abhishek Halder, Manoranjan Sinha
2011	B	`conf`	Programming Strategies for GPUs and their Power Consumption. PACT Sayan Ghosh, Barbara M. Chapman
2007	—	`conf`	Fuzzy Quadtree Based Path Planner and Trajectory Smoother for a Low Cost Unmanned Aerial Vehicle. IICAI Abhishek Halder, Sayan Ghosh, Manoranjan Sinha