Abhinav Bhatele

161 papers A* 3A 51B 11C 11Misc 6Journal 56Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance-Aligned LLMs for Generating Fast HPC Code. IEEE Trans. Parallel Distributed Syst. Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2026	J	`jnl`	Speculating Experts Accelerates Inference for Mixture-of-Experts. CoRR Vivan Madan, Prajwal Singhania, Abhinav Bhatele, Tom Goldstein, Ashwinee Panda
2025	J	`jnl`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. CoRR Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2025	B	`conf`	Elias-Fano Compression for Space-Efficient Rank and Select Structures. SEA Lannie Dalton Hough, Abhinav Bhatele
2025	J	`jnl`	Gemstones: A Model Suite for Multi-Faceted Scaling Laws. CoRR Sean McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
2025	C	`conf`	HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel Languages. ISC Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2025	J	`jnl`	Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization. CoRR Daniel Nichols, Konstantinos Parasyris, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025	J	`jnl`	LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication. CoRR Prajwal Singhania, Siddharth Singh, Lannie Dalton Hough, Akarsh Srivastava, Harshitha Menon, Charles F. Jekel, Abhinav Bhatele
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Longitudinal Analysis of GPU Workloads on Perlmutter. CoRR Onur Cankur, Brian Austin, Abhinav Bhatele
2025	J	`jnl`	Modeling Code: Is Text All You Need? CoRR Daniel Nichols, Konstantinos Parasyris, Harshitha Menon, Brian R. Bartoldson, Giorgis Georgakoudis, Tal Ben-Nun, Abhinav Bhatele
2025	J	`jnl`	Optimizing Agentic Language Model Inference via Speculative Tool Calls. CoRR Daniel Nichols, Prajwal Singhania, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025	A	`conf`	Pandemics in Silico: Scaling Agent-Based Simulations on Realistic Social Contact Networks. IPDPS Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele
2025	B	`conf`	ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. ICPP Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele
2025	J	`jnl`	ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. CoRR Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele
2025	A	`conf`	Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training. SC Aditya K. Ranjan, Siddharth Singh, Cunyang Wei, Abhinav Bhatele
2025	J	`jnl`	Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training. CoRR Aditya K. Ranjan, Siddharth Singh, Cunyang Wei, Abhinav Bhatele
2025	J	`jnl`	Power Law Guided Dynamic Sifting for Efficient Attention. CoRR Nirav Koley, Prajwal Singhania, Abhinav Bhatele
2025	J	`jnl`	Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach. CoRR Jonas Geiping, Sean McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
2025	A	`conf`	Taking GPU Programming Models to Task for Performance Portability. ICS Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson, Konstantinos Parasyris, Harshitha Menon, Isaac Minn, Giorgis Georgakoudis, Abhinav Bhatele
2025	J	`jnl`	The Big Send-off: High Performance Collectives on GPU-based Supercomputers. CoRR Siddharth Singh, Mahua Singh, Abhinav Bhatele
2025	—	`conf`	The Shortcomings of Code LLMs in Modeling Code Properties. LLM4Code@ICSE Srivishnu Pyda, Daniel Nichols, Abhinav Bhatele
2025	J	`jnl`	VAHRM: Variation-Aware Resource Management in Heterogeneous Supercomputing Systems. IEEE Trans. Parallel Distributed Syst. Kohei Yoshida, Ryuichi Sakamoto, Kento Sato, Abhinav Bhatele, Hayato Yamaki, Hiroki Honda, Shinobu Miwa
2025	J	`jnl`	Zero-Shot Vision Encoder Grafting via LLM Surrogates. CoRR Kaiyu Yue, Vasu Singla, Menglin Jia, John Kirchenbauer, Rifaa Qadri, Zikui Cai, Abhinav Bhatele, Furong Huang, Tom Goldstein
2024	J	`jnl`	A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. CoRR Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele
2024	A	`conf`	A Probabilistic Approach To Selecting Build Configurations in Package Managers. SC Daniel Nichols, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	J	`jnl`	An Evaluative Comparison of Performance Portability across GPU Programming Models. CoRR Joshua Hoke Davis, Pranav Sivaraman, Isaac Minn, Konstantinos Parasyris, Harshitha Menon, Giorgis Georgakoudis, Abhinav Bhatele
2024	J	`jnl`	Automated Programmatic Performance Analysis of Parallel Programs. CoRR Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele
2024	A*	`conf`	Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. NeurIPS Abhimanyu Hans, John Kirchenbauer, Yuxin Wen, Neel Jain, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024	J	`jnl`	Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024	A	`conf`	Can Large Language Models Write Parallel Code? HPDC Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele
2024	J	`jnl`	Can Large Language Models Write Parallel Code? CoRR Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele
2024	A	`conf`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. SC Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2024	J	`jnl`	Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Trans. Vis. Comput. Graph. Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs
2024	J	`jnl`	From Pixels to Prose: A Large Dataset of Dense Image Captions. CoRR Vasu Singla, Kaiyu Yue, Sukriti Paul, Reza Shirkavand, Mayuka Jayawardhana, Alireza Ganjdanesh, Heng Huang, Abhinav Bhatele, Gowthami Somepalli, Tom Goldstein
2024	J	`jnl`	HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages. CoRR Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2024	C	`conf`	HPC-Coder: Modeling Parallel Programs using Large Language Models. ISC Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	A	`conf`	Learning to Predict and Improve Build Successes in Package Ecosystems. MSR Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin
2024	J	`jnl`	Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024	A*	`conf`	Loki: Low-rank Keys for Efficient Sparse Attention. NeurIPS Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024	Misc	`conf`	ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. HiPC Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan, Kathryn M. Mohror, Abhinav Bhatele
2024	J	`jnl`	Performance-Aligned LLMs for Generating Fast Code. CoRR Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2024	A	`conf`	Predicting Cross-Architecture Performance of Parallel Programs. IPDPS Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele
2024	C	`conf`	Predicting GPUDirect Benefits for HPC Workloads. PDP Harsh Khetawat, Nikhil Jain, Abhinav Bhatele, Frank Mueller
2024	B	`conf`	Relative Performance Prediction Using Few-Shot Learning. COMPSAC Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele
2024	A*	`conf`	Transformers Can Do Arithmetic with the Right Embeddings. NeurIPS Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein
2024	J	`jnl`	Transformers Can Do Arithmetic with the Right Embeddings. CoRR Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein
2023	A	`conf`	A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training. ICS Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele
2023	J	`jnl`	A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training. CoRR Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele
2023	J	`jnl`	Communication-minimizing Asynchronous Tensor Parallelism. CoRR Siddharth Singh, Zack Sating, Abhinav Bhatele
2023	A	`conf`	Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. IPDPS Siddharth Singh, Abhinav Bhatele
2023	J	`jnl`	Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. CoRR Siddharth Singh, Abhinav Bhatele
2023	C	`ed.`	High Performance Computing - 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21-25, 2023, Proceedings ISC Abhinav Bhatele, Jeff R. Hammond, Marc Baboulin, Carola Kruse
2023	J	`jnl`	Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization. CoRR Siddharth Singh, Zachary Sating, Abhinav Bhatele
2023	J	`jnl`	ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. CoRR Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan, Kathryn M. Mohror, Abhinav Bhatele
2023	J	`jnl`	Modeling Parallel Programs using Large Language Models. CoRR Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2023	J	`jnl`	Pipit: Enabling programmatic analysis of parallel execution traces. CoRR Abhinav Bhatele, Rakrish Dhakal, Alexander Movsesyan, Aditya K. Ranjan, Jordan Marry, Onur Cankur
2023	A	`conf`	Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. IPDPS Joshua Hoke Davis, Justin Shafner, Daniel Nichols, Nathan Grube, Pino Martin, Abhinav Bhatele
2023	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2022	A	`conf`	AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. IPDPS Siddharth Singh, Abhinav Bhatele
2022	C	`conf`	Comparative Evaluation of Call Graph Generation by Profiling Tools. ISC Onur Cankur, Abhinav Bhatele
2022	J	`jnl`	Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. CoRR Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs
2022	C	`ed.`	High Performance Computing - 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 - June 2, 2022, Proceedings ISC Ana Lucia Varbanescu, Abhinav Bhatele, Piotr Luszczek, Marc Baboulin
2022	A	`conf`	Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. IPDPS Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele
2021	C	`conf`	A Simulation Study of Hardware Parameters for Future GPU-based HPC Platforms. IPCCC Saptarshi Bhowmik, Nikhil Jain, Xin Yuan, Abhinav Bhatele
2021	J	`jnl`	How to Train Your Neural Network: A Comparative Evaluation. CoRR Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2021	J	`jnl`	Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning. CoRR Siddharth Singh, Abhinav Bhatele
2021	J	`jnl`	Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer
2020	J	`jnl`	Analytics of Longitudinal System Monitoring Data for Performance Prediction. CoRR Ian J. Costello, Abhinav Bhatele
2020	A	`conf`	Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. IPDPS Harshitha Menon, Abhinav Bhatele, Todd Gamblin
2020	A	`conf`	End-to-end performance modeling of distributed GPU applications. ICS Jaemin Choi, David F. Richards, Laxmikant V. Kalé, Abhinav Bhatele
2020	C	`conf`	Predicting MPI Collective Communication Performance Using Machine Learning. CLUSTER Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees
2020	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2020	A	`conf`	The Case of Performance Variability on Dragonfly-based Systems. IPDPS Abhinav Bhatele, Jayaraman J. Thiagarajan, Taylor L. Groves, Rushil Anirudh, Staci A. Smith, Brandon Cook, David K. Lowenthal
2020	—	`conf`	Usability and Performance Improvements in Hatchet. HUST/ProTools@SC Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele
2019	—	`conf`	Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. SIGSIM-PADS Abhinav Bhatele, Nikhil Jain, Misbah Mubarak, Todd Gamblin
2019	Misc	`conf`	Evaluating the Impact of Energy Efficient Networks on HPC Workloads. HiPC Giorgis Georgakoudis, Nikhil Jain, Takatsugu Ono, Koji Inoue, Shinobu Miwa, Abhinav Bhatele
2019	A	`conf`	Hatchet: pruning the overgrowth in parallel profiles. SC Abhinav Bhatele, Stephanie Brink, Todd Gamblin
2019	A	`conf`	Optimizing computation-communication overlap in asynchronous task-based programs. ICS Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele
2019	B	`conf`	Optimizing computation-communication overlap in asynchronous task-based programs: poster. PPoPP Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele
2019	—	`ed.`	Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Denver, CO, USA, November 12 and 17, 2017, and ESPT 2018 and VPA 2018, Dallas, TX, USA, November 16 and 11, 2018, Revised Selected Papers ESPT/VPA@SC Abhinav Bhatele, David Böhme, Joshua A. Levine, Allen D. Malony, Martin Schulz
2018	A	`conf`	Bootstrapping Parameter Space Exploration for Fast Tuning. ICS Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin
2018	A	`conf`	Evaluation of an interference-free node allocation policy on fat-tree clusters. SC Samuel D. Pollard, Nikhil Jain, Stephen Herbein, Abhinav Bhatele
2018	J	`jnl`	Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. Comput. Graph. Forum Harsh Bhatia, Nikhil Jain, Abhinav Bhatele, Yarden Livnat, Jens Domke, Valerio Pascucci, Peer-Timo Bremer
2018	B	`conf`	Interference between I/O and MPI Traffic on Fat-tree Networks. ICPP Kevin A. Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz, Abhinav Bhatele
2018	J	`jnl`	MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2018	A	`conf`	Mitigating inter-job interference using adaptive flow-aware routing. SC Staci A. Smith, Clara E. Cromey, David K. Lowenthal, Jens Domke, Nikhil Jain, Jayaraman J. Thiagarajan, Abhinav Bhatele
2018	A	`conf`	PADDLE: Performance Analysis Using a Data-Driven Learning Environment. IPDPS Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin
2018	—	`conf`	Visual Analytics Challenges in Analyzing Calling Context Trees. ESPT/VPA@SC Alexandre Bergel, Abhinav Bhatele, David Böhme, Patrick Gralka, Kevin S. Griffin, Marc-André Hermanns, Dusan Okanovic, Olga Pearce, Tom Vierjahn
2017	—	`conf`	Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn M. Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka
2017	B	`conf`	Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. CCGrid Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kalé, Madhav V. Marathe
2017	J	`jnl`	Massively parallel first-principles simulation of electron dynamics in materials. J. Parallel Distributed Comput. Erik W. Draeger, Xavier Andrade, John A. Gunnels, Abhinav Bhatele, Andre Schleife, Alfredo A. Correa
2017	A	`conf`	Partitioning Low-Diameter Networks to Eliminate Inter-Job Interference. IPDPS Nikhil Jain, Abhinav Bhatele, Xiang Ni, Todd Gamblin, Laxmikant V. Kalé
2017	A	`conf`	Performance modeling under resource constraints using deep transfer learning. SC Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin
2017	A	`conf`	Predicting the performance impact of different fat-tree configurations. SC Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger
2017	B	`conf`	Preliminary Performance Analysis of Multi-rail Fat-tree Networks. CCGrid Noah Wolfe, Misbah Mubarak, Nikhil Jain, Jens Domke, Abhinav Bhatele, Christopher D. Carothers, Robert B. Ross
2017	C	`conf`	Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers. CLUSTER Misbah Mubarak, Philip H. Carns, Jonathan Jenkins, Jianping Kelvin Li, Nikhil Jain, Shane Snyder, Robert B. Ross, Christopher D. Carothers, Abhinav Bhatele, Kwan-Liu Ma
2017	A	`conf`	ScrubJay: deriving knowledge from the disarray of HPC performance data. SC Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz
2017	Misc	`conf`	Toward reliable validation of HPC network simulation models. WSC Misbah Mubarak, Nikhil Jain, Jens Domke, Noah Wolfe, Caitlin Ross, Jianping Kelvin Li, Abhinav Bhatele, Christopher D. Carothers, Kwan-Liu Ma, Robert B. Ross
2016	A	`conf`	A machine learning framework for performance coverage analysis of proxy applications. SC Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin
2016	A	`conf`	Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers. IPDPS Abhinav Bhatele, Nikhil Jain, Yarden Livnat, Valerio Pascucci, Peer-Timo Bremer
2016	A	`conf`	Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. SC Edgar A. León, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger
2016	—	`conf`	Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. PMBS@SC Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev
2016	A	`conf`	Evaluating HPC networks via simulation of parallel workloads. SC Nikhil Jain, Abhinav Bhatele, Sam White, Todd Gamblin, Laxmikant V. Kalé
2016	—	`conf`	LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics. IPDPS Workshops Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, Abhinav Bhatele
2016	A	`conf`	Massively Parallel First-Principles Simulation of Electron Dynamics in Materials. IPDPS Erik W. Draeger, Xavier Andrade, John A. Gunnels, Abhinav Bhatele, Andre Schleife, Alfredo A. Correa
2016	J	`jnl`	Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2016	—	`conf`	VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer
2015	A	`conf`	Charm++ and MPI: Combining the Best of Both Worlds. IPDPS Nikhil Jain, Abhinav Bhatele, Jae-Seung Yeom, Mark F. Adams, Francesco Miniati, Chao Mei, Laxmikant V. Kalé
2015	A	`conf`	Identifying the Culprits Behind Network Congestion. IPDPS Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé
2015	—	`conf`	Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations. Euro-Par Workshops Bilge Acun, Nikhil Jain, Abhinav Bhatele, Misbah Mubarak, Christopher D. Carothers, Laxmikant V. Kalé
2015	A	`conf`	Recovering logical structure from Charm++ event traces. SC Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2014	J	`jnl`	Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann
2014	A	`conf`	Dissecting On-Node Memory Access Performance: A Semantic Approach. SC Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann
2014	B	`conf`	Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann
2014	A	`conf`	Maximizing Throughput on a Dragonfly Network. SC Nikhil Jain, Abhinav Bhatele, Xiang Ni, Nicholas J. Wright, Laxmikant V. Kalé
2014	Misc	`conf`	Optimizing the performance of parallel applications on a 5D torus via task mapping. HiPC Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, Laxmikant V. Kalé
2014	A	`conf`	Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. IPDPS Jae-Seung Yeom, Abhinav Bhatele, Keith R. Bisset, Eric J. Bohm, Abhishek Gupta, Laxmikant V. Kalé, Madhav V. Marathe, Dimitrios S. Nikolopoulos, Martin Schulz, Lukasz Wesolowski
2014	A	`conf`	RAHTM: Routing Algorithm Aware Hierarchical Task Mapping. SC Ahmed H. Abdel-Gawad, Mithuna Thottethodi, Abhinav Bhatele
2014	—	`conf`	State of the Art of Performance Visualization. EuroVis (STARs) Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2014	—	`conf`	Visualizing the five-dimensional torus network of the IBM blue gene/Q. VPA@SC Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann
2014	J	`jnl`	pF3D Simulations of Laser-Plasma Interactions in National Ignition Facility Experiments. Comput. Sci. Eng. Steven H. Langer, Abhinav Bhatele, Charles H. Still
2013	A	`conf`	Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. IPDPS Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan D. Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David F. Richards, Martin Schulz, Charles H. Still
2013	—	`ch.`	OpenAtom: Ab initio Molecular Dynamics for Petascale Platforms. Parallel Science and Engineering Applications Glenn J. Martyna, Eric J. Bohm, Ramprasad Venkataraman, Laxmikant V. Kalé, Abhinav Bhatele
2013	—	`book`	Parallel Science and Engineering Applications - The Charm++ Approach. Parallel Science and Engineering Applications Laxmikant V. Kalé, Abhinav Bhatele
2013	—	`conf`	Performance Analysis Techniques for the Exascale Co-Design Process. PARCO Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree
2013	A	`conf`	Predicting application performance using supervised learning on communication features. SC Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, Laxmikant V. Kalé
2013	—	`ch.`	Scalable Molecular Dynamics with NAMD. Parallel Science and Engineering Applications James C. Phillips, Klaus Schulten, Abhinav Bhatele, Chao Mei, Yanhua Sun, Eric J. Bohm, Laxmikant V. Kalé
2013	A	`conf`	There goes the neighborhood: performance degradation due to nearby jobs. SC Abhinav Bhatele, Kathryn M. Mohror, Steve H. Langer, Katherine E. Isaacs
2012	B	`conf`	A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems. ICPP Laércio Lima Pilla, Christiane Pousa Ribeiro, Daniel Cordeiro, Chao Mei, Abhinav Bhatele, Philippe Olivier Alexandre Navaux, François Broquedis, Jean-François Méhaut, Laxmikant V. Kalé
2012	A	`conf`	Mapping applications with collectives over sub-communicators on torus networks. SC Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still
2012	A	`conf`	Novel views of performance data to analyze large-scale adaptive applications. SC Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2012	J	`jnl`	Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci
2011	A	`conf`	Architectural Constraints to Attain 1 Exaflop/s for Three Scientific Application Classes. IPDPS Abhinav Bhatele, Pritish Jetley, Hormozd Gahvari, Lukasz Wesolowski, William D. Gropp, Laxmikant V. Kalé
2011	A	`conf`	Avoiding hot-spots on two-level direct networks. SC Abhinav Bhatele, Nikhil Jain, William D. Gropp, Laxmikant V. Kalé
2011	—	`conf`	Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci
2011	C	`conf`	Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies. HPCC Abhinav Bhatele, Laxmikant V. Kalé
2011	A	`conf`	Improving communication performance in dense linear algebra via topology aware collectives. SC Edgar Solomonik, Abhinav Bhatele, James Demmel
2011	—	`ch.`	NAMD (NAnoscale Molecular Dynamics). Encyclopedia of Parallel Computing Laxmikant V. Kalé, Abhinav Bhatele, Eric J. Bohm, James C. Phillips
2011	J	`jnl`	Optimizing communication for Charm++ applications by reducing network contention. Concurr. Comput. Pract. Exp. Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kalé
2011	J	`jnl`	Periodic hierarchical load balancing for large supercomputers. Int. J. High Perform. Comput. Appl. Gengbin Zheng, Abhinav Bhatele, Esteban Meneses, Laxmikant V. Kalé
2011	B	`conf`	Simulation-Based Performance Analysis and Tuning for a Two-Level Directly Connected System. ICPADS Ehsan Totoni, Abhinav Bhatele, Eric J. Bohm, Nikhil Jain, Celso L. Mendes, Ryan M. Mokos, Gengbin Zheng, Laxmikant V. Kalé
2011	—	`ch.`	Topology Aware Task Mapping. Encyclopedia of Parallel Computing Abhinav Bhatele
2011	Misc	`conf`	Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters. HiPC Vivek Kale, Abhinav Bhatele, William D. Gropp
2010	Misc	`conf`	Automated mapping of regular communication graphs on mesh interconnects. HiPC Abhinav Bhatele, Gagan Raj Gupta, Laxmikant V. Kalé, I-Hsin Chung
2010	—	`—`	Automating Topology Aware Mapping for Supercomputers Abhinav Bhatele
2010	—	`conf`	Hierarchical Load Balancing for Charm++ Applications on Large Supercomputers. ICPP Workshops Gengbin Zheng, Esteban Meneses, Abhinav Bhatele, Laxmikant V. Kalé
2010	J	`jnl`	Understanding Application Performance via Micro-benchmarks on Three Large Supercomputers: Intrepid, Ranger and Jaguar. Int. J. High Perform. Comput. Appl. Abhinav Bhatele, Lukasz Wesolowski, Eric J. Bohm, Edgar Solomonik, Laxmikant V. Kalé
2009	—	`conf`	A Case Study of Communication Optimizations on 3D Mesh Interconnects. Euro-Par Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kalé
2009	A	`conf`	An evaluative study on the effect of contention on message latencies in large supercomputers. IPDPS Abhinav Bhatele, Laxmikant V. Kalé
2009	—	`conf`	CkDirect: Unsynchronized One-Sided Communication in a Message-Driven Paradigm. ICPP Workshops Eric J. Bohm, Sayantan Chakravorty, Pritish Jetley, Abhinav Bhatele, Laxmikant V. Kalé
2009	A	`conf`	Dynamic topology aware load balancing algorithms for molecular dynamics applications. ICS Abhinav Bhatele, Laxmikant V. Kalé, Sameer Kumar
2009	J	`jnl`	Quantifying Network Contention on Large Parallel Machines. Parallel Process. Lett. Abhinav Bhatele, Laxmikant V. Kalé
2009	B	`conf`	Topology aware task mapping techniques: an api and case study. PPoPP Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kalé
2008	A	`conf`	Application-specific topology-aware mapping for three dimensional topologies. IPDPS Abhinav Bhatele, Laxmikant V. Kalé
2008	J	`jnl`	Benefits of Topology Aware Mapping for Mesh Interconnects. Parallel Process. Lett. Abhinav Bhatele, Laxmikant V. Kalé
2008	J	`jnl`	Fine-grained parallelization of the Car - Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer. IBM J. Res. Dev. Eric J. Bohm, Abhinav Bhatele, Laxmikant V. Kalé, Mark E. Tuckerman, Sameer Kumar, John A. Gunnels, Glenn J. Martyna
2008	A	`conf`	Overcoming scaling challenges in biomolecular simulations across multiple platforms. IPDPS Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. Phillips, Gengbin Zheng, Laxmikant V. Kalé
2008	J	`jnl`	Scalable molecular dynamics with NAMD on the IBM Blue Gene/L system. IBM J. Res. Dev. Sameer Kumar, Chao Huang, Gengbin Zheng, Eric J. Bohm, Abhinav Bhatele, James C. Phillips, Hao Yu, Laxmikant V. Kalé
2007	A	`conf`	A Selective Pro ling Tool: Towards Automatic Performance Tuning. IPDPS Abhinav Bhatele, Guojing Cong