Ali Jannesari - RankMe

193 papers A* 4A 20B 13C 5Misc 2Journal 93Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lock-Free Work-Stealing Algorithm for Bulk Operations. CoRR Raja Sai Nandhan Yadav Kataru, Danial Davarnia, Ali Jannesari
2026	J	`jnl`	AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search. CoRR Shahrzad Esmat, Mahdi Banisharif, Ali Jannesari
2026	B	`conf`	Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications. PPoPP Luke Marzen, Junhyung Shim, Ali Jannesari
2026	J	`jnl`	Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications. CoRR Luke Marzen, Junhyung Shim, Ali Jannesari
2026	—	`conf`	FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation. EACL (Findings) Fatema Siddika, Md. Anwar Hossen, Juan Pablo Muñoz, Tanya G. Roosta, Anuj Sharma, Ali Jannesari
2026	J	`jnl`	HiDVFS: A Hierarchical Multi-Agent DVFS Scheduler for OpenMP DAG Workloads. CoRR Mohammad Pivezhandi, Abusayeed Saifullah, Ali Jannesari
2026	J	`jnl`	OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization. CoRR Arijit Bhattacharjee, Heng Ping, Son Vu Le, Paul Bogdan, Nesreen K. Ahmed, Ali Jannesari
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
2026	J	`jnl`	Split-on-Share: Mixture of Sparse Experts for Task-Agnostic Continual Learning. CoRR Fatema Siddika, Md. Anwar Hossen, Tanwi Mallick, Ali Jannesari
2026	J	`jnl`	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks. CoRR Abdullah Al Asif, Sixing Yu, Juan Pablo Muñoz, Arya Mazaheri, Ali Jannesari
2026	J	`jnl`	ZeroDVFS: Zero-Shot LLM-Guided Core and Frequency Allocation for Embedded Platforms. CoRR Mohammad Pivezhandi, Mahdi Banisharif, Abusayeed Saifullah, Ali Jannesari
2025	Misc	`conf`	Adaptive Federated Distillation with Dual-LoRA for Personalized Representation Learning. SEC Duy Phuong Nguyen, Chianing Wang, Ali Jannesari
2025	J	`jnl`	Analyzing Latent Concepts in Code Language Models. CoRR Arushi Sharma, Vedant Pungliya, Christopher J. Quinn, Ali Jannesari
2025	—	`conf`	AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. NAACL (Long Papers) Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari
2025	J	`jnl`	Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. CoRR Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao
2025	A	`conf`	ConTraPh: Contrastive Learning for Parallelization and Performance Optimization. ICS Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari
2025	—	`conf`	Data Race Satisfiability on Array Elements. IWOMP Junhyung Shim, Quazi Ishtiaque Mahmud, Ali Jannesari
2025	J	`jnl`	Data Race Satisfiability on Array Elements. CoRR Junhyung Shim, Quazi Ishtiaque Mahmud, Ali Jannesari
2025	—	`conf`	Differential Testing for Sequential to Parallel Transformations. SC Workshops Jobayer Ahmmed, Quazi Ishtiaque Mahmud, Junhyung Shim, Liyi Li, Ali Jannesari, Myra B. Cohen
2025	—	`conf`	Enhanced Soups for Graph Neural Networks. IPDPS (Workshops) Joseph Zuber, Aishwarya Sarkar, Joseph Jennings, Ali Jannesari
2025	J	`jnl`	Enhanced Soups for Graph Neural Networks. CoRR Joseph Zuber, Aishwarya Sarkar, Joseph Jennings, Ali Jannesari
2025	J	`jnl`	FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning. CoRR Md. Anwar Hossen, Fatema Siddika, Wensheng Zhang, Anuj Sharma, Ali Jannesari
2025	J	`jnl`	FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation. CoRR Fatema Siddika, Md. Anwar Hossen, J. Pablo Muñoz, Tanya G. Roosta, Anuj Sharma, Ali Jannesari
2025	J	`jnl`	Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. CoRR Duy Phuong Nguyen, J. Pablo Munoz, Tanya G. Roosta, Ali Jannesari
2025	J	`jnl`	Generalizing Scaling Laws for Dense and Sparse Large Language Models. CoRR Md Arafat Hossain, Xingfu Wu, Valerie Taylor, Ali Jannesari
2025	J	`jnl`	GraphPerf-RT: A Graph-Driven Performance Model for Hardware-Aware Scheduling of OpenMP Codes. CoRR Mohammad Pivezhandi, Mahdi Banisharif, Saeed Bakhshan, Abusayeed Saifullah, Ali Jannesari
2025	B	`conf`	HHOTuner: Efficient Performance Tuning with Harris Hawks Optimization. ICPP Akash Dutta, Ali Jannesari
2025	—	`conf`	HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction. SIGSPATIAL/GIS Aishwarya Sarkar, Autrin Hakimi, Xiaoqiong Chen, Hai Huang, Chaoqun Lu, Ibrahim Demir, Ali Jannesari
2025	J	`jnl`	HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction. CoRR Aishwarya Sarkar, Autrin Hakimi, Xiaoqiong Chen, Hai Huang, Chaoqun Lu, Ibrahim Demir, Ali Jannesari
2025	J	`jnl`	Learning Bug Context for PyTorch-to-JAX Translation with LLMs. CoRR Hung D. Phan, Son Le Vu, Ali Jannesari
2025	J	`jnl`	Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning. CoRR Ankit Jyothish, Ali Jannesari
2025	—	`conf`	Maximizing aerial detection of organic objects in non-exhaustively searchable survey area. CVPR Workshops Amir Ehsan Niaraki Asli, Jansel Herrera-Gerena, Jeremy Roghair, Ali Jannesari
2025	J	`jnl`	OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms. CoRR Arijit Bhattacharjee, Ali TehraniJamsaz, Le Chen, Niranjan Hasabnis, Mihai Capota, Nesreen K. Ahmed, Ali Jannesari
2025	A	`conf`	PCEBench: A Multi-Dimensional Benchmark for Evaluating Large Language Models in Parallel Code Generation. IPDPS Le Chen, Nesreen K. Ahmed, Mihai Capota, Ted Willke, Niranjan Hasabnis, Ali Jannesari
2025	J	`jnl`	PerfMamba: Performance Analysis and Pruning of Selective State Space Models. CoRR Abdullah Al Asif, Mobina Kashaniyan, Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
2025	J	`jnl`	ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization. CoRR Sadegh Jafari, Aishwarya Sarkar, Mohiuddin Bilwal, Ali Jannesari
2025	J	`jnl`	SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. CoRR Waqwoya Abebe, Sadegh Jafari, Sixing Yu, Akash Dutta, Jan Strube, Nathan R. Tallent, Luanzheng Guo, J. Pablo Muñoz, Ali Jannesari
2025	J	`jnl`	VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation. CoRR Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng, Xiaole Zhang, Jesse Thomason, Ali Jannesari, Nesreen Ahmed, Paul Bogdan
2025	A	`conf`	Weight-Sharing NAS with Architecture-Agnostic Intermediate Representation. HPDC Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	A*	`conf`	CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming. NeurIPS Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari
2024	J	`jnl`	CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming. CoRR Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari
2024	—	`conf`	Discerning Self-supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR Chandan Kumar, Ali Jannesari, Matthew J. Darr
2024	—	`conf`	Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. Euro-Par (1) Suren Harutyunyan, Eduardo César, Anna Sikora, Jiri Filipovic, Akash Dutta, Ali Jannesari, Jordi Alcaraz
2024	J	`jnl`	FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning. CoRR Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari
2024	J	`jnl`	Fast data-dependence profiling through prior static analysis. Parallel Comput. Mohammad Norouzi Arab, Nicolas Morew, Qamar Ilias, Lukas Rothenberger, Ali Jannesari, Felix Wolf
2024	—	`conf`	Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. LREC/COLING Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
2024	J	`jnl`	Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration. CoRR Le Chen, Bin Lei, Dunzhi Zhou, Pei-Hung Lin, Chunhua Liao, Caiwen Ding, Ali Jannesari
2024	—	`conf`	GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching. IPDPS (Workshops) Ali TehraniJamsaz, Hanze Chen, Ali Jannesari
2024	B	`conf`	Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. CLOUD Waqwoya Abebe, Pablo Munoz, Ali Jannesari
2024	J	`jnl`	Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning. CoRR Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari
2024	A	`conf`	Leveraging Statistical Machine Translation for Code Search. EASE Hung Phan, Ali Jannesari
2024	B	`conf`	MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. PACT Akash Dutta, Ali Jannesari
2024	J	`jnl`	MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations. CoRR Akash Dutta, Ali Jannesari
2024	A	`conf`	MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. IPDPS Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard
2024	J	`jnl`	MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. CoRR Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard
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	—	`conf`	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. Euro-Par (1) Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari
2024	J	`jnl`	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari
2024	—	`conf`	ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. IPDPS (Workshops) Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari
2024	A	`conf`	PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. SC Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	J	`jnl`	PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. CoRR Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari
2024	J	`jnl`	RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
2024	—	`conf`	Redundancy and Concept Analysis for Code-trained Language Models. ASE Workshops Arushi Sharma, Zefu Hu, Christopher J. Quinn, Ali Jannesari
2024	—	`conf`	Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. Euro-Par (1) Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2024	J	`jnl`	SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari
2024	A	`conf`	Static Generation of Efficient OpenMP Offload Data Mappings. SC Luke Marzen, Akash Dutta, Ali Jannesari
2024	J	`jnl`	Static Generation of Efficient OpenMP Offload Data Mappings. CoRR Luke Marzen, Akash Dutta, Ali Jannesari
2024	J	`jnl`	The Landscape and Challenges of HPC Research and LLMs. CoRR Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
2024	—	`conf`	Training a Transformer Model for OpenMP Pragma Generation. Euro-Par Workshops (2) Arijit Bhattacharjee, Ali Jannesari
2024	J	`jnl`	Unsupervised learning based object detection using Contrastive Learning. CoRR Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew J. Darr, Ali Jannesari
2024	A	`conf`	Work-In-Progress: Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads. RTSS Mohammad Pivezhandi, Aakriti Jain, Abusayeed Saifullah, Ali Jannesari
2023	J	`jnl`	A region proposal algorithm using texture similarity and perceptual grouping. J. Ambient Intell. Humaniz. Comput. Maryam Taghizadeh, Abdolah Chalechale, Ali Jannesari
2023	J	`jnl`	AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari
2023	J	`jnl`	Accelerating Domain-aware Deep Learning Models with Distributed Training. CoRR Aishwarya Sarkar, Chaoqun Lu, Ali Jannesari
2023	—	`conf`	Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. SC Workshops Justin Stanley, Ali Jannesari
2023	J	`jnl`	Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. CoRR Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	J	`jnl`	CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari
2023	—	`conf`	Discerning Self-Supervised Learning and Weakly Supervised Learning. Tiny Papers @ ICLR Chandan Kumar, Matthew J. Darr, Ali Jannesari
2023	—	`conf`	Domain-Aware Scalable Distributed Training for Geo-Spatiotemporal Data. IPDPS Workshops Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
2023	—	`conf`	Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. SC Workshops Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	A	`conf`	Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CIKM Hung Phan, Ali Jannesari
2023	J	`jnl`	Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CoRR Hung Phan, Ali Jannesari
2023	J	`jnl`	Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. CoRR Sixing Yu, J. Pablo Muñoz, Ali Jannesari
2023	J	`jnl`	GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary and Source Code Matching. CoRR Ali TehraniJamsaz, Hanze Chen, Ali Jannesari
2023	B	`conf`	Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. CCGrid Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2023	—	`conf`	Integrating Information from Natural Language Parse Tree to Code Generation. Tiny Papers @ ICLR Hung Phan, Ali Jannesari
2023	J	`jnl`	Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. CoRR Arushi Sharma, Zefu Hu, Christopher J. Quinn, Ali Jannesari
2023	J	`jnl`	LEFL: Low Entropy Client Sampling in Federated Learning. CoRR Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari
2023	—	`conf`	Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
2023	J	`jnl`	Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
2023	—	`conf`	OpenMP Offload Features and Strategies for High Performance across Architectures and Compilers. IPDPS Workshops Arijit Bhattacharjee, Christopher S. Daley, Ali Jannesari
2023	—	`conf`	Optimal Deep Learning Model for UAVs: A Case Study. WPMC Chandan Kumar, Ali Jannesari
2023	B	`conf`	Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid Waqwoya Abebe, Ali Jannesari
2023	A*	`conf`	PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. NeurIPS Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
2023	J	`jnl`	PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. CoRR Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari
2023	J	`jnl`	ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels. CoRR Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari
2023	A	`conf`	Performance Optimization using Multimodal Modeling and Heterogeneous GNN. HPDC Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari
2023	J	`jnl`	Performance Optimization using Multimodal Modeling and Heterogeneous GNN. CoRR Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari
2023	A	`conf`	Power Constrained Autotuning using Graph Neural Networks. IPDPS Akash Dutta, Jee Choi, Ali Jannesari
2023	J	`jnl`	Power Constrained Autotuning using Graph Neural Networks. CoRR Akash Dutta, Jee Choi, Ali Jannesari
2023	J	`jnl`	Predicting number of threads using balanced datasets for openMP regions. Computing Jordi Alcaraz, Ali TehraniJamsaz, Akash Dutta, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César
2023	J	`jnl`	Reducing branch divergence to speed up parallel execution of unit testing on GPUs. J. Supercomput. Taghreed Bagies, Wei Le, Jeremy Sheaffer, Ali Jannesari
2022	J	`jnl`	Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. CoRR Waqwoya Abebe, Ali Jannesari
2022	—	`conf`	Efficient Volume Estimation for Dynamic Environments using Deep Learning on the Edge. IPDPS Workshops Chandan Kumar, Yamini Mathur, Ali Jannesari
2022	A	`conf`	Heterogeneous Graph Neural Networks for Software Effort Estimation. ESEM Hung Phan, Ali Jannesari
2022	J	`jnl`	Heterogeneous Graph Neural Networks for Software Effort Estimation. CoRR Hung Phan, Ali Jannesari
2022	A	`conf`	Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. IPDPS Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
2022	J	`jnl`	Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. CoRR Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari
2022	—	`conf`	Multi-View Learning for Parallelism Discovery of Sequential Programs. IPDPS Workshops Le Chen, Quazi Ishtiaque Mahmud, Ali Jannesari
2022	—	`conf`	Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. AI4S Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari
2022	J	`jnl`	Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari
2022	J	`jnl`	Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. CoRR Sixing Yu, Wei Qian, Ali Jannesari
2022	A	`conf`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
2022	—	`conf`	Scalable and Extensible Robinson-Foulds for Comparative Phylogenetics. IPDPS Workshops Alvin Chon, Pawel Górecki, Oliver Eulenstein, Xiaoqiu Huang, Ali Jannesari
2022	J	`jnl`	Story Point Effort Estimation by Text Level Graph Neural Network. CoRR Hung Phan, Ali Jannesari
2022	—	`conf`	Story Point Level Classification by Text Level Graph Neural Network. NLBSE Hung Phan, Ali Jannesari
2022	—	`conf`	Temporal shift reinforcement learning. EuroMLSys@EuroSys Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
2022	A*	`conf`	Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. ICML Sixing Yu, Arya Mazaheri, Ali Jannesari
2022	J	`jnl`	Towards Seamless Management of AI Models in High-Performance Computing. CoRR Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari
2021	C	`conf`	A Learning-Based Scheduler for High Volume Processing in Data Warehouse Using Graph Neural Networks. PDCAT Vivek Bengre, M. Reza HoseinyFarahabady, Mohammad Pivezhandi, Albert Y. Zomaya, Ali Jannesari
2021	J	`jnl`	A Shallow 1-D Convolution Neural Network for Fetal State Assessment Based on Cardiotocogram. SN Comput. Sci. Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari
2021	—	`conf`	A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. IntelliSys (1) Jeremy Roghair, Amir Ehsan Niaraki Asli, Kyungtae Ko, Ali Jannesari
2021	J	`jnl`	A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance. CoRR Jeremy Roghair, Kyungtae Ko, Amir Ehsan Niaraki Asli, Ali Jannesari
2021	J	`jnl`	Adaptive Dynamic Pruning for Non-IID Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari
2021	—	`conf`	An Empirical Study of Parallelizing Test Execution Using CUDA Unified Memory and OpenMP GPU Offloading. ICST Workshops Taghreed Bagies, Ali Jannesari
2021	A*	`conf`	Auto Graph Encoder-Decoder for Neural Network Pruning. ICCV Sixing Yu, Arya Mazaheri, Ali Jannesari
2021	C	`conf`	Building representative and balanced datasets of OpenMP parallel regions. PDP Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César
2021	J	`jnl`	CLAWS: Contrastive Learning with hard Attention and Weak Supervision. CoRR Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari
2021	—	`conf`	DeepRace: A learning-based data race detector. ICST Workshops Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
2021	J	`jnl`	GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. CoRR Sixing Yu, Arya Mazaheri, Ali Jannesari
2021	—	`conf`	Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. ASE Workshops Hung Phan, Arushi Sharma, Ali Jannesari
2021	J	`jnl`	Interpretable UAV Collision Avoidance using Deep Reinforcement Learning. CoRR Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger, Ali Jannesari
2021	J	`jnl`	Reducing Energy in GPGPUs through Approximate Trivial Bypassing. ACM Trans. Embed. Comput. Syst. Ehsan Atoofian, Zayan Shaikh, Ali Jannesari
2021	J	`jnl`	SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
2021	J	`jnl`	Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data. CoRR Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
2020	A	`conf`	Accelerating winograd convolutions using symbolic computation and meta-programming. EuroSys Arya Mazaheri, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
2020	J	`jnl`	Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. CoRR Sixing Yu, Arya Mazaheri, Ali Jannesari
2020	J	`jnl`	HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis. CoRR Aishwarya Sarkar, Jien Zhang, Chaoqun Lu, Ali Jannesari
2020	Misc	`conf`	Multi-Class Cardiovascular Diseases Diagnosis from Electrocardiogram Signals using 1-D Convolution Neural Network. IRI Mehdi Fasihi, Mohammad H. Nadimi-Shahraki, Ali Jannesari
2020	B	`conf`	Q-Flink: A QoS-Aware Controller for Apache Flink. CCGRID M. Reza HoseinyFarahabady, Ali Jannesari, Javid Taheri, Wei Bao, Albert Y. Zomaya, Zahir Tari
2020	—	`conf`	Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster. Euro-Par Nicolas Morew, Mohammad Norouzi Arab, Ali Jannesari, Felix Wolf
2020	J	`jnl`	Static Neural Compiler Optimization via Deep Reinforcement Learning. CoRR Rahim Mammadli, Ali Jannesari, Felix Wolf
2019	J	`jnl`	A Simulation of UAV Power Optimization via Reinforcement Learning. CoRR Amir Ehsan Niaraki Asli, Ali Jannesari
2019	—	`conf`	Accelerating Data-Dependence Profiling with Static Hints. Euro-Par Mohammad Norouzi Arab, Qamar Ilias, Ali Jannesari, Felix Wolf
2019	J	`jnl`	Automatic Repair and Type Binding of Undeclared Variables using Neural Networks. CoRR Venkatesh Theru Mohan, Ali Jannesari
2019	A	`conf`	Automatic construct selection and variable classification in OpenMP. ICS Mohammad Norouzi Arab, Felix Wolf, Ali Jannesari
2019	J	`jnl`	DeepRace: Finding Data Race Bugs via Deep Learning. CoRR Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
2019	J	`jnl`	Dissecting sequential programs for parallelization - An approach based on computational units. Concurr. Comput. Pract. Exp. Rohit Atre, Zia Ul Huda, Felix Wolf, Ali Jannesari
2019	B	`conf`	Dynamic Control of CPU Cap Allocations in Stream Processing and Data-Flow Platforms. NCA M. Reza HoseinyFarahabady, Ali Jannesari, Zahir Tari, Javid Taheri, Albert Y. Zomaya
2019	J	`jnl`	Efficient Object Detection Model for Real-Time UAV Applications. CoRR Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari
2019	—	`conf`	Enhancing the Programmability and Performance Portability of GPU Tensor Operations. Euro-Par Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
2019	C	`conf`	Real-Time Stream Data Processing at Scale. PDCAT M. Reza HoseinyFarahabady, Ali Jannesari, Wei Bao, Zahir Tari, Albert Y. Zomaya
2019	J	`jnl`	The Art of Getting Deep Neural Networks in Shape. ACM Trans. Archit. Code Optim. Rahim Mammadli, Felix Wolf, Ali Jannesari
2018	J	`jnl`	Improving performance of transactional memory through machine learning. Concurr. Comput. Pract. Exp. Yang Xiao, Thireshan Jeyakumaran, Ehsan Atoofian, Ali Jannesari
2018	B	`conf`	Unveiling Thread Communication Bottlenecks Using Hardware-Independent Metrics. ICPP Arya Mazaheri, Felix Wolf, Ali Jannesari
2017	—	`conf`	Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
2017	B	`conf`	Brief Announcement: Meeting the Challenges of Parallelizing Sequential Programs. SPAA Rohit Atre, Ali Jannesari, Felix Wolf
2017	J	`jnl`	Editorial of special issue on Software Engineering for Parallel Systems. J. Syst. Softw. Ali Jannesari, Felix Wolf, Walter F. Tichy
2017	—	`conf`	Parallelizing Audio Analysis Applications - A Case Study. ICSE-SEET Ali Jannesari, Zia Ul Huda, Rohit Atre, Zhen Li, Felix Wolf
2017	—	`ed.`	Proceedings of the 4th ACM SIGPLAN International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2017, Vancouver, BC, Canada, October 23, 2017 SEPS@SPLASH Ali Jannesari, Pablo de Oliveira Castro, Yukinori Sato, Tim Mattson
2016	J	`jnl`	A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
2016	J	`jnl`	Automatic Generation of Unit Tests for Correlated Variables in Parallel Programs. Int. J. Parallel Program. Ali Jannesari, Felix Wolf
2016	A	`conf`	Automatic Parallel Pattern Detection in the Algorithm Structure Design Space. IPDPS Zia Ul Huda, Rohit Atre, Ali Jannesari, Felix Wolf
2016	C	`conf`	Improving Performance of Transactional Applications through Adaptive Transactional Memory. PDP Thireshan Jeyakumaran, Ehsan Atoofian, Yang Xiao, Zhen Li, Ali Jannesari
2016	—	`ed.`	Proceedings of the 3rd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2016, Amsterdam, Netherlands, November 1, 2016 SEPS@SPLASH Ali Jannesari, Yukinori Sato, Stefan Winter
2016	J	`jnl`	Unveiling parallelization opportunities in sequential programs. J. Syst. Softw. Zhen Li, Rohit Atre, Zia Ul Huda, Ali Jannesari, Felix Wolf
2015	A	`conf`	An Efficient Data-Dependence Profiler for Sequential and Parallel Programs. IPDPS Zhen Li, Ali Jannesari, Felix Wolf
2015	—	`conf`	Automatic Optimization of Software Transactional Memory Through Linear Regression and Decision Tree. ICA3PP (4) Yang Xiao, Zhen Li, Ehsan Atoofian, Ali Jannesari
2015	—	`conf`	Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs. ICA3PP (4) Zhen Li, Bo Zhao, Ali Jannesari, Felix Wolf
2015	B	`conf`	Characterizing Loop-Level Communication Patterns in Shared Memory. ICPP Arya Mazaheri, Ali Jannesari, Abdolreza Mirzaei, Felix Wolf
2015	—	`conf`	Combining Unit Tests for Data Race Detection. AST@ICSE Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy
2015	—	`conf`	Dependence-Based Code Transformation for Coarse-Grained Parallelism. COSMIC@CGO Bo Zhao, Zhen Li, Ali Jannesari, Felix Wolf, Weiguo Wu
2015	J	`jnl`	Detection of High-Level Synchronization Anomalies in Parallel Programs. Int. J. Parallel Program. Ali Jannesari
2015	—	`conf`	Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations. ICA3PP (4) Zhen Li, Michael Beaumont, Ali Jannesari, Felix Wolf
2015	—	`ed.`	Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, SEPS@SPLASH 2015, Pittsburgh, PA, USA, October 27, 2015 SEPS@SPLASH Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato
2015	J	`jnl`	Resource and application-aware resource discovery in computing environments. J. Supercomput. Mohammad Norouzi Arab, Ali Jannesari
2015	—	`conf`	The Basic Building Blocks of Parallel Tasks. COSMIC@CGO Rohit Atre, Ali Jannesari, Felix Wolf
2015	—	`conf`	Workshop Preview of the 2nd International Workshop on Software for Parallel Systems (SEPS 2015). SPLASH (Companion Volume) Ali Jannesari, Siegfried Benkner, Xinghui Zhao, Ehsan Atoofian, Yukinori Sato
2014	—	`conf`	Generating Classified Parallel Unit Tests. TAP@STAF Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf
2014	J	`jnl`	Library-Independent Data Race Detection. IEEE Trans. Parallel Distributed Syst. Ali Jannesari, Walter F. Tichy
2014	—	`conf`	SEPS 2014: first international workshop on software engineering for parallel systems. SPLASH (Companion Volume) Ali Jannesari, Felix Wolf, Walter F. Tichy
2014	J	`jnl`	Using Template Matching to Infer Parallel Design Patterns. ACM Trans. Archit. Code Optim. Zia Ul Huda, Ali Jannesari, Felix Wolf
2013	—	`conf`	Automatic generation of parallel unit tests. AST@ICSE Jochen Schimmel, Korbinian Molitorisz, Ali Jannesari, Walter F. Tichy
2013	B	`conf`	Detecting Correlation Violations and Data Races by Inferring Non-deterministic Reads. ICPADS Ali Jannesari, Nico Koprowski, Jochen Schimmel, Felix Wolf, Walter F. Tichy
2013	B	`conf`	Discovery of Potential Parallelism in Sequential Programs. ICPP Zhen Li, Ali Jannesari, Felix Wolf
2013	—	`conf`	Predicting Parallelization of Sequential Programs Using Supervised Learning. ICMLA (2) Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf
2011	—	`conf`	Dynamic Data Race Detection for Correlated Variables. ICA3PP (1) Ali Jannesari, Markus Westphal-Furuya, Walter F. Tichy
2010	A	`conf`	Identifying ad-hoc synchronization for enhanced race detection. IPDPS Ali Jannesari, Walter F. Tichy
2009	A	`conf`	Helgrind+: An efficient dynamic race detector. IPDPS Ali Jannesari, Kaibin Bao, Victor Pankratius, Walter F. Tichy
2009	J	`jnl`	Parallelizing Bzip2: A Case Study in Multicore Software Engineering. IEEE Softw. Victor Pankratius, Ali Jannesari, Walter F. Tichy
2008	—	`conf`	On-the-fly race detection in multi-threaded programs. PADTAD Ali Jannesari, Walter F. Tichy
2008	—	`conf`	Software engineering for multicore systems: an experience report. IWMSE@ICSE Victor Pankratius, Christoph A. Schaefer, Ali Jannesari, Walter F. Tichy