A Selective Pro ling Tool: Towards Automatic Performance Tuning. - Abhinav Bhatele; Guojing Cong (IPDPS, 2007)

Application-specific topology-aware mapping for three dimensional topologies. - Abhinav Bhatele; Laxmikant V. Kalé (IPDPS, 2008)

Overcoming scaling challenges in biomolecular simulations across multiple platforms. - Abhinav Bhatele; Sameer Kumar 001; Chao Mei; James C. Phillips; Gengbin Zheng; Laxmikant V. Kalé (IPDPS, 2008)

Fine-grained parallelization of the Car - Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer. - Eric J. Bohm; Abhinav Bhatele; Laxmikant V. Kalé; Mark E. Tuckerman; Sameer Kumar 001; John A. Gunnels; Glenn J. Martyna (IBM J. Res. Dev., 2008)

Scalable molecular dynamics with NAMD on the IBM Blue Gene/L system. - Sameer Kumar 001; Chao Huang 029; Gengbin Zheng; Eric J. Bohm; Abhinav Bhatele; James C. Phillips; Hao Yu; Laxmikant V. Kalé (IBM J. Res. Dev., 2008)

Benefits of Topology Aware Mapping for Mesh Interconnects. - Abhinav Bhatele; Laxmikant V. Kalé (Parallel Process. Lett., 2008)

A Case Study of Communication Optimizations on 3D Mesh Interconnects. - Abhinav Bhatele; Eric J. Bohm; Laxmikant V. Kalé (Euro-Par, 2009)

CkDirect: Unsynchronized One-Sided Communication in a Message-Driven Paradigm. - Eric J. Bohm; Sayantan Chakravorty; Pritish Jetley; Abhinav Bhatele; Laxmikant V. Kalé (ICPP Workshops, 2009)

Dynamic topology aware load balancing algorithms for molecular dynamics applications. - Abhinav Bhatele; Laxmikant V. Kalé; Sameer Kumar 001 (ICS, 2009)

An evaluative study on the effect of contention on message latencies in large supercomputers. - Abhinav Bhatele; Laxmikant V. Kalé (IPDPS, 2009)

Topology aware task mapping techniques: an api and case study. - Abhinav Bhatele; Eric J. Bohm; Laxmikant V. Kalé (PPoPP, 2009)

Quantifying Network Contention on Large Parallel Machines. - Abhinav Bhatele; Laxmikant V. Kalé (Parallel Process. Lett., 2009)

Automated mapping of regular communication graphs on mesh interconnects. - Abhinav Bhatele; Gagan Raj Gupta 001; Laxmikant V. Kalé; I-Hsin Chung (HiPC, 2010)

Hierarchical Load Balancing for Charm++ Applications on Large Supercomputers. - Gengbin Zheng; Esteban Meneses; Abhinav Bhatele; Laxmikant V. Kalé (ICPP Workshops, 2010)

Understanding Application Performance via Micro-benchmarks on Three Large Supercomputers: Intrepid, Ranger and Jaguar. - Abhinav Bhatele; Lukasz Wesolowski; Eric J. Bohm; Edgar Solomonik; Laxmikant V. Kalé (Int. J. High Perform. Comput. Appl., 2010)

Automating Topology Aware Mapping for Supercomputers - Abhinav Bhatele (2010)

Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters. - Vivek Kale; Abhinav Bhatele; William D. Gropp (HiPC, 2011)

Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies. - Abhinav Bhatele; Laxmikant V. Kalé (HPCC, 2011)

Simulation-Based Performance Analysis and Tuning for a Two-Level Directly Connected System. - Ehsan Totoni; Abhinav Bhatele; Eric J. Bohm; Nikhil Jain; Celso L. Mendes; Ryan M. Mokos; Gengbin Zheng; Laxmikant V. Kalé (ICPADS, 2011)

Architectural Constraints to Attain 1 Exaflop/s for Three Scientific Application Classes. - Abhinav Bhatele; Pritish Jetley; Hormozd Gahvari; Lukasz Wesolowski; William D. Gropp; Laxmikant V. Kalé (IPDPS, 2011)

Creating a Tool Set for Optimizing Topology-Aware Node Mappings. - Martin Schulz 001; Abhinav Bhatele; Peer-Timo Bremer; Todd Gamblin; Katherine E. Isaacs; Joshua A. Levine; Valerio Pascucci (Parallel Tools Workshop, 2011)

Avoiding hot-spots on two-level direct networks. - Abhinav Bhatele; Nikhil Jain; William D. Gropp; Laxmikant V. Kalé (SC, 2011)

Improving communication performance in dense linear algebra via topology aware collectives. - Edgar Solomonik; Abhinav Bhatele; James Demmel (SC, 2011)

Optimizing communication for Charm++ applications by reducing network contention. - Abhinav Bhatele; Eric J. Bohm; Laxmikant V. Kalé (Concurr. Comput. Pract. Exp., 2011)

Periodic hierarchical load balancing for large supercomputers. - Gengbin Zheng; Abhinav Bhatele; Esteban Meneses; Laxmikant V. Kalé (Int. J. High Perform. Comput. Appl., 2011)

Topology Aware Task Mapping. - Abhinav Bhatele (Encyclopedia of Parallel Computing, 2011)

NAMD (NAnoscale Molecular Dynamics). - Laxmikant V. Kalé; Abhinav Bhatele; Eric J. Bohm; James C. Phillips (Encyclopedia of Parallel Computing, 2011)

A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems. - Laércio Lima Pilla; Christiane Pousa Ribeiro; Daniel Cordeiro; Chao Mei; Abhinav Bhatele; Philippe Olivier Alexandre Navaux; François Broquedis; Jean-François Méhaut; Laxmikant V. Kalé (ICPP, 2012)

Novel views of performance data to analyze large-scale adaptive applications. - Abhinav Bhatele; Todd Gamblin; Katherine E. Isaacs; Brian T. N. Gunney; Martin Schulz 001; Peer-Timo Bremer; Bernd Hamann (SC, 2012)

Mapping applications with collectives over sub-communicators on torus networks. - 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 001; Charles H. Still (SC, 2012)

Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. - Aaditya G. Landge; Joshua A. Levine; Abhinav Bhatele; Katherine E. Isaacs; Todd Gamblin; Martin Schulz 001; Steve H. Langer; Peer-Timo Bremer; Valerio Pascucci (IEEE Trans. Vis. Comput. Graph., 2012)

OpenAtom: Ab initio Molecular Dynamics for Petascale Platforms. - Glenn J. Martyna; Eric J. Bohm; Ramprasad Venkataraman; Laxmikant V. Kalé; Abhinav Bhatele (Parallel Science and Engineering Applications, 2013)

Scalable Molecular Dynamics with NAMD. - James C. Phillips; Klaus Schulten; Abhinav Bhatele; Chao Mei; Yanhua Sun; Eric J. Bohm; Laxmikant V. Kalé (Parallel Science and Engineering Applications, 2013)

Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. - Ian Karlin; Abhinav Bhatele; Jeff Keasler; Bradford L. Chamberlain; Jonathan D. Cohen 001; Zachary DeVito; Riyaz Haque; Dan Laney; Edward Luke; Felix Wang; David F. Richards; Martin Schulz 001; et al. (IPDPS, 2013)

Performance Analysis Techniques for the Exascale Co-Design Process. - Martin Schulz 001; 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; et al. (PARCO, 2013)

There goes the neighborhood: performance degradation due to nearby jobs. - Abhinav Bhatele; Kathryn M. Mohror; Steve H. Langer; Katherine E. Isaacs (SC, 2013)

Predicting application performance using supervised learning on communication features. - Nikhil Jain; Abhinav Bhatele; Michael P. Robson; Todd Gamblin; Laxmikant V. Kalé (SC, 2013)

Optimizing the performance of parallel applications on a 5D torus via task mapping. - Abhinav Bhatele; Nikhil Jain; Katherine E. Isaacs; Ronak Buch; Todd Gamblin; Steven H. Langer; Laxmikant V. Kalé (HiPC, 2014)

Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. - Jae-Seung Yeom; Abhinav Bhatele; Keith R. Bisset; Eric J. Bohm; Abhishek Gupta 002; Laxmikant V. Kalé; Madhav V. Marathe; Dimitrios S. Nikolopoulos; Martin Schulz 001; Lukasz Wesolowski (IPDPS, 2014)

Extracting logical structure and identifying stragglers in parallel execution traces. - Katherine E. Isaacs; Todd Gamblin; Abhinav Bhatele; Peer-Timo Bremer; Martin Schulz 001; Bernd Hamann (PPoPP, 2014)

RAHTM: Routing Algorithm Aware Hierarchical Task Mapping. - Ahmed H. Abdel-Gawad; Mithuna Thottethodi; Abhinav Bhatele (SC, 2014)

Dissecting On-Node Memory Access Performance: A Semantic Approach. - Alfredo Giménez; Todd Gamblin; Barry Rountree; Abhinav Bhatele; Ilir Jusufi; Peer-Timo Bremer; Bernd Hamann (SC, 2014)

Maximizing Throughput on a Dragonfly Network. - Nikhil Jain; Abhinav Bhatele; Xiang Ni; Nicholas J. Wright; Laxmikant V. Kalé (SC, 2014)

Visualizing the five-dimensional torus network of the IBM blue gene/Q. - Collin M. McCarthy; Katherine E. Isaacs; Abhinav Bhatele; Peer-Timo Bremer; Bernd Hamann (VPA@SC, 2014)

State of the Art of Performance Visualization. - Katherine E. Isaacs; Alfredo Giménez; Ilir Jusufi; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (EuroVis (STARs), 2014)

pF3D Simulations of Laser-Plasma Interactions in National Ignition Facility Experiments. - Steven H. Langer; Abhinav Bhatele; Charles H. Still (Comput. Sci. Eng., 2014)

Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. - Katherine E. Isaacs; Peer-Timo Bremer; Ilir Jusufi; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2014)

Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations. - Bilge Acun; Nikhil Jain; Abhinav Bhatele; Misbah Mubarak; Christopher D. Carothers; Laxmikant V. Kalé (Euro-Par Workshops, 2015)

Identifying the Culprits Behind Network Congestion. - Abhinav Bhatele; Andrew R. Titus; Jayaraman J. Thiagarajan; Nikhil Jain; Todd Gamblin; Peer-Timo Bremer; Martin Schulz 001; Laxmikant V. Kalé (IPDPS, 2015)

Charm++ and MPI: Combining the Best of Both Worlds. - Nikhil Jain; Abhinav Bhatele; Jae-Seung Yeom; Mark F. Adams; Francesco Miniati; Chao Mei; Laxmikant V. Kalé (IPDPS, 2015)

Recovering logical structure from Charm++ event traces. - Katherine E. Isaacs; Abhinav Bhatele; Jonathan Lifflander; David Böhme; Todd Gamblin; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (SC, 2015)

Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers. - Abhinav Bhatele; Nikhil Jain; Yarden Livnat; Valerio Pascucci; Peer-Timo Bremer (IPDPS, 2016)

LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics. - Aniruddha Marathe; Hormozd Gahvari; Jae-Seung Yeom; Abhinav Bhatele (IPDPS Workshops, 2016)

A machine learning framework for performance coverage analysis of proxy applications. - Tanzima Z. Islam; Jayaraman J. Thiagarajan; Abhinav Bhatele; Martin Schulz 001; Todd Gamblin (SC, 2016)

Evaluating HPC networks via simulation of parallel workloads. - Nikhil Jain; Abhinav Bhatele; Sam White; Todd Gamblin; Laxmikant V. Kalé (SC, 2016)

Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. - Edgar A. León; Ian Karlin; Abhinav Bhatele; Steven H. Langer; Chris Chambreau; Louis H. Howell; Trent D'Hooge; Matthew L. Leininger (SC, 2016)

VIPACT: A Visualization Interface for Analyzing Calling Context Trees. - Huu Tan Nguyen; Lai Wei; Abhinav Bhatele; Todd Gamblin; David Böhme; Martin Schulz 001; Kwan-Liu Ma; Peer-Timo Bremer (VPA@SC, 2016)

Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. - Jae-Seung Yeom; Jayaraman J. Thiagarajan; Abhinav Bhatele; Greg Bronevetsky; Tzanio V. Kolev (PMBS@SC, 2016)

Ordering Traces Logically to Identify Lateness in Message Passing Programs. - Katherine E. Isaacs; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (IEEE Trans. Parallel Distributed Syst., 2016)

Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. - Abhinav Bhatele; Jae-Seung Yeom; Nikhil Jain; Chris J. Kuhlman; Yarden Livnat; Keith R. Bisset; Laxmikant V. Kalé; Madhav V. Marathe (CCGrid, 2017)

Preliminary Performance Analysis of Multi-rail Fat-tree Networks. - Noah Wolfe; Misbah Mubarak; Nikhil Jain; Jens Domke; Abhinav Bhatele; Christopher D. Carothers; Robert B. Ross (CCGrid, 2017)

Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers. - 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 (CLUSTER, 2017)

Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). - Kevin A. Brown; Tianqi Xu; Keita Iwabuchi; Kento Sato; Adam Moody; Kathryn M. Mohror; Nikhil Jain; Abhinav Bhatele; Martin Schulz 001; Roger A. Pearce; Maya B. Gokhale; Satoshi Matsuoka (ICDCS Workshops, 2017)

Partitioning Low-Diameter Networks to Eliminate Inter-Job Interference. - Nikhil Jain; Abhinav Bhatele; Xiang Ni; Todd Gamblin; Laxmikant V. Kalé (IPDPS, 2017)

ScrubJay: deriving knowledge from the disarray of HPC performance data. - Alfredo Giménez; Todd Gamblin; Abhinav Bhatele; Chad Wood; Kathleen Shoga; Aniruddha Marathe; Peer-Timo Bremer; Bernd Hamann; Martin Schulz 001 (SC, 2017)

Predicting the performance impact of different fat-tree configurations. - Nikhil Jain; Abhinav Bhatele; Louis H. Howell; David Böhme; Ian Karlin; Edgar A. León; Misbah Mubarak; Noah Wolfe; Todd Gamblin; Matthew L. Leininger (SC, 2017)

Performance modeling under resource constraints using deep transfer learning. - Aniruddha Marathe; Rushil Anirudh; Nikhil Jain; Abhinav Bhatele; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Jae-Seung Yeom; Barry Rountree; Todd Gamblin (SC, 2017)

Toward reliable validation of HPC network simulation models. - Misbah Mubarak; Nikhil Jain; Jens Domke; Noah Wolfe; Caitlin Ross; Jianping Kelvin Li; Abhinav Bhatele; Christopher D. Carothers; Kwan-Liu Ma; Robert B. Ross (WSC, 2017)

Massively parallel first-principles simulation of electron dynamics in materials. - Erik W. Draeger; Xavier Andrade; John A. Gunnels; Abhinav Bhatele; Andre Schleife; Alfredo A. Correa (J. Parallel Distributed Comput., 2017)

Interference between I/O and MPI Traffic on Fat-tree Networks. - Kevin A. Brown; Nikhil Jain; Satoshi Matsuoka; Martin Schulz 001; Abhinav Bhatele (ICPP, 2018)

Bootstrapping Parameter Space Exploration for Fast Tuning. - Jayaraman J. Thiagarajan; Nikhil Jain; Rushil Anirudh; Alfredo Giménez; Rahul Sridhar; Aniruddha Marathe; Tao Wang 077; Murali Emani; Abhinav Bhatele; Todd Gamblin (ICS, 2018)

PADDLE: Performance Analysis Using a Data-Driven Learning Environment. - Jayaraman J. Thiagarajan; Rushil Anirudh; Bhavya Kailkhura; Nikhil Jain; Tanzima Z. Islam; Abhinav Bhatele; Jae-Seung Yeom; Todd Gamblin (IPDPS, 2018)

Visual Analytics Challenges in Analyzing Calling Context Trees. - Alexandre Bergel; Abhinav Bhatele; David Böhme; Patrick Gralka; Kevin S. Griffin; Marc-André Hermanns; Dusan Okanovic; Olga Pearce; Tom Vierjahn (ESPT/VPA@SC, 2018)

Evaluation of an interference-free node allocation policy on fat-tree clusters. - Samuel D. Pollard; Nikhil Jain; Stephen Herbein; Abhinav Bhatele (SC, 2018)

Mitigating inter-job interference using adaptive flow-aware routing. - Staci A. Smith; Clara E. Cromey; David K. Lowenthal; Jens Domke; Nikhil Jain; Jayaraman J. Thiagarajan; Abhinav Bhatele (SC, 2018)

Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. - Harsh Bhatia; Nikhil Jain; Abhinav Bhatele; Yarden Livnat; Jens Domke; Valerio Pascucci; Peer-Timo Bremer (Comput. Graph. Forum, 2018)

MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. - Alfredo Giménez; Todd Gamblin; Ilir Jusufi; Abhinav Bhatele; Martin Schulz 001; Peer-Timo Bremer; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2018)

Evaluating the Impact of Energy Efficient Networks on HPC Workloads. - Giorgis Georgakoudis; Nikhil Jain; Takatsugu Ono; Koji Inoue; Shinobu Miwa; Abhinav Bhatele (HiPC, 2019)

Optimizing computation-communication overlap in asynchronous task-based programs. - Emilio Castillo; Nikhil Jain; Marc Casas; Miquel Moretó; Martin Schulz 001; Ramón Beivide; Mateo Valero; Abhinav Bhatele (ICS, 2019)

Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. - Abhinav Bhatele; Nikhil Jain; Misbah Mubarak; Todd Gamblin (SIGSIM-PADS, 2019)

Optimizing computation-communication overlap in asynchronous task-based programs: poster. - Emilio Castillo; Nikhil Jain; Marc Casas; Miquel Moretó; Martin Schulz 001; Ramón Beivide; Mateo Valero; Abhinav Bhatele (PPoPP, 2019)

Hatchet: pruning the overgrowth in parallel profiles. - Abhinav Bhatele; Stephanie Brink; Todd Gamblin (SC, 2019)

UIUC-PPL/charm: v6.10.0-beta1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

UIUC-PPL/charm: v6.10.0-rc. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

UIUC-PPL/charm: v6.10.0-rc2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2019)

Predicting MPI Collective Communication Performance Using Machine Learning. - Sascha Hunold; Abhinav Bhatele; George Bosilca; Peter Knees (CLUSTER, 2020)

End-to-end performance modeling of distributed GPU applications. - Jaemin Choi; David F. Richards; Laxmikant V. Kalé; Abhinav Bhatele (ICS, 2020)

The Case of Performance Variability on Dragonfly-based Systems. - Abhinav Bhatele; Jayaraman J. Thiagarajan; Taylor L. Groves; Rushil Anirudh; Staci A. Smith; Brandon Cook 001; David K. Lowenthal (IPDPS, 2020)

Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. - Harshitha Menon; Abhinav Bhatele; Todd Gamblin (IPDPS, 2020)

Usability and Performance Improvements in Hatchet. - Stephanie Brink; Ian Lumsden; Connor Scully-Allison; Katy Williams; Olga Pearce; Todd Gamblin; Michela Taufer; Katherine E. Isaacs; Abhinav Bhatele (HUST/ProTools@SC, 2020)

Scalable Comparative Visualization of Ensembles of Call Graphs. - Suraj P. Kesavan; Harsh Bhatia; Abhinav Bhatele; Todd Gamblin; Peer-Timo Bremer; Kwan-Liu Ma (CoRR, 2020)

Analytics of Longitudinal System Monitoring Data for Performance Prediction. - Ian J. Costello; Abhinav Bhatele (CoRR, 2020)

UIUC-PPL/charm: v6.10.0. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: v6.10.1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: Charm++ version 6.10.2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

UIUC-PPL/charm: v6.11.0-beta1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2020)

A Simulation Study of Hardware Parameters for Future GPU-based HPC Platforms. - Saptarshi Bhowmik; Nikhil Jain; Xin Yuan 001; Abhinav Bhatele (IPCCC, 2021)

Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning. - Siddharth Singh; Abhinav Bhatele (CoRR, 2021)

How to Train Your Neural Network: A Comparative Evaluation. - Shu-Huai Lin; Daniel Nichols; Siddharth Singh; Abhinav Bhatele (CoRR, 2021)

Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. - Huu Tan Nguyen; Abhinav Bhatele; Nikhil Jain; Suraj P. Kesavan; Harsh Bhatia; Todd Gamblin; Kwan-Liu Ma; Peer-Timo Bremer (IEEE Trans. Vis. Comput. Graph., 2021)

UIUC-PPL/charm: v7.0.0-rc1. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

UIUC-PPL/charm: v7.0.0-rc2. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

UIUC-PPL/charm: Charm++ version 7.0.0. - Laxmikant V. Kalé; Bilge Acun; Seonmyeong Bak; Aaron T. Becker; Milind A. Bhandarkar; Nitin Bhat; Abhinav Bhatele; Eric J. Bohm; Cyril Bordage; Robert Brunner; Ronak Buch; Sayantan Chakravorty; et al. (Zenodo, 2021)

Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. - Daniel Nichols; Aniruddha Marathe; Kathleen Shoga; Todd Gamblin; Abhinav Bhatele (IPDPS, 2022)

AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. - Siddharth Singh; Abhinav Bhatele (IPDPS, 2022)

Comparative Evaluation of Call Graph Generation by Profiling Tools. - Onur Cankur; Abhinav Bhatele (ISC, 2022)

Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (CoRR, 2022)

A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training. - Siddharth Singh; Olatunji Ruwase; Ammar Ahmad Awan; Samyam Rajbhandari; Yuxiong He; Abhinav Bhatele (ICS, 2023)

Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. - Joshua Hoke Davis; Justin Shafner; Daniel Nichols; Nathan Grube; Pino Martin; Abhinav Bhatele (IPDPS, 2023)

Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. - Siddharth Singh; Abhinav Bhatele (IPDPS, 2023)

A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training. - Siddharth Singh; Olatunji Ruwase; Ammar Ahmad Awan; Samyam Rajbhandari; Yuxiong He; Abhinav Bhatele (CoRR, 2023)

Communication-minimizing Asynchronous Tensor Parallelism. - Siddharth Singh; Zack Sating; Abhinav Bhatele (CoRR, 2023)

Pipit: Enabling programmatic analysis of parallel execution traces. - Abhinav Bhatele; Rakrish Dhakal; Alexander Movsesyan; Aditya Ranjan; Jordan Marry; Onur Cankur (CoRR, 2023)

Modeling Parallel Programs using Large Language Models. - Daniel Nichols; Aniruddha Marathe; Harshitha Menon; Todd Gamblin; Abhinav Bhatele (CoRR, 2023)

Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization. - Siddharth Singh; Zachary Sating; Abhinav Bhatele (CoRR, 2023)

Scalable Comparative Visualization of Ensembles of Call Graphs. - Suraj P. Kesavan; Harsh Bhatia; Abhinav Bhatele; Stephanie Brink; Olga Pearce; Todd Gamblin; Peer-Timo Bremer; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2023)

Relative Performance Prediction Using Few-Shot Learning. - Arunavo Dey; Aakash Dhakal; Tanzima Z. Islam; Jae-Seung Yeom; Tapasya Patki; Daniel Nichols; Alexander Movsesyan; Abhinav Bhatele (COMPSAC, 2024)

ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. - Yiheng Xu; Pranav Sivaraman; Hariharan Devarajan; Kathryn M. Mohror; Abhinav Bhatele (HiPC, 2024)

Can Large Language Models Write Parallel Code? - Daniel Nichols; Joshua Hoke Davis; Zhaojun Xie; Arjun Rajaram; Abhinav Bhatele (HPDC, 2024)

Predicting Cross-Architecture Performance of Parallel Programs. - Daniel Nichols; Alexander Movsesyan; Jae-Seung Yeom; Abhik Sarkar; Daniel Milroy; Tapasya Patki; Abhinav Bhatele (IPDPS, 2024)

Learning to Predict and Improve Build Successes in Package Ecosystems. - Harshitha Menon; Daniel Nichols; Abhinav Bhatele; Todd Gamblin (MSR, 2024)

Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. - Abhimanyu Hans; John Kirchenbauer; Yuxin Wen; Neel Jain; Hamid Kazemi; Prajwal Singhania; Siddharth Singh; Gowthami Somepalli; Jonas Geiping; Abhinav Bhatele; Tom Goldstein (NeurIPS, 2024)

Transformers Can Do Arithmetic with the Right Embeddings. - Sean McLeish; Arpit Bansal; Alex Stein; Neel Jain; John Kirchenbauer; Brian R. Bartoldson; Bhavya Kailkhura; Abhinav Bhatele; Jonas Geiping; Avi Schwarzschild; Tom Goldstein (NeurIPS, 2024)

Loki: Low-rank Keys for Efficient Sparse Attention. - Prajwal Singhania; Siddharth Singh; Shwai He; Soheil Feizi; Abhinav Bhatele (NeurIPS, 2024)

Predicting GPUDirect Benefits for HPC Workloads. - Harsh Khetawat; Nikhil Jain; Abhinav Bhatele; Frank Mueller 001 (PDP, 2024)

A Probabilistic Approach To Selecting Build Configurations in Package Managers. - Daniel Nichols; Harshitha Menon; Todd Gamblin; Abhinav Bhatele (SC, 2024)

Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. - Siddharth Singh; Prajwal Singhania; Aditya Ranjan; John Kirchenbauer; Jonas Geiping; Yuxin Wen; Neel Jain; Abhimanyu Hans; Manli Shu; Aditya Tomar; Tom Goldstein; Abhinav Bhatele (SC, 2024)

HPC-Coder: Modeling Parallel Programs using Large Language Models. - Daniel Nichols; Aniruddha Marathe; Harshitha Menon; Todd Gamblin; Abhinav Bhatele (ISC, 2024)

A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. - Joy Kitson; Ian J. Costello; Jiangzhuo Chen; Diego Jiménez; Stefan Hoops; Henning S. Mortveit; Esteban Meneses; Jae-Seung Yeom; Madhav V. Marathe; Abhinav Bhatele (CoRR, 2024)

Automated Programmatic Performance Analysis of Parallel Programs. - Onur Cankur; Aditya Tomar; Daniel Nichols; Connor Scully-Allison; Katherine E. Isaacs; Abhinav Bhatele (CoRR, 2024)

An Evaluative Comparison of Performance Portability across GPU Programming Models. - Joshua Hoke Davis; Pranav Sivaraman; Isaac Minn; Konstantinos Parasyris; Harshitha Menon; Giorgis Georgakoudis; Abhinav Bhatele (CoRR, 2024)

Performance-Aligned LLMs for Generating Fast Code. - Daniel Nichols; Pranav Polasam; Harshitha Menon; Aniruddha Marathe; Todd Gamblin; Abhinav Bhatele (CoRR, 2024)

From Pixels to Prose: A Large Dataset of Dense Image Captions. - Vasu Singla; Kaiyu Yue; Sukriti Paul; Reza Shirkavand; Mayuka Jayawardhana; Alireza Ganjdanesh; Heng Huang; Abhinav Bhatele; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2024)

Pandemics in Silico: Scaling Agent-Based Simulations on Realistic Social Contact Networks. - Joy Kitson; Ian J. Costello; Jiangzhuo Chen; Diego Jiménez; Stefan Hoops; Henning S. Mortveit; Esteban Meneses; Jae-Seung Yeom; Madhav V. Marathe; Abhinav Bhatele (IPDPS, 2025)

The Shortcomings of Code LLMs in Modeling Code Properties. - Srivishnu Pyda; Daniel Nichols; Abhinav Bhatele (LLM4Code@ICSE, 2025)

HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel Languages. - Aman Chaturvedi; Daniel Nichols; Siddharth Singh; Abhinav Bhatele (ISC, 2025)

Elias-Fano Compression for Space-Efficient Rank and Select Structures. - Lannie Dalton Hough; Abhinav Bhatele (SEA, 2025)

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach. - Jonas Geiping; Sean McLeish; Neel Jain; John Kirchenbauer; Siddharth Singh; Brian R. Bartoldson; Bhavya Kailkhura; Abhinav Bhatele; Tom Goldstein (CoRR, 2025)

Gemstones: A Model Suite for Multi-Faceted Scaling Laws. - Sean McLeish; John Kirchenbauer; David Yu Miller; Siddharth Singh; Abhinav Bhatele; Micah Goldblum; Ashwinee Panda; Tom Goldstein (CoRR, 2025)

Longitudinal Analysis of GPU Workloads on Perlmutter. - Onur Cankur; Brian Austin; Abhinav Bhatele (CoRR, 2025)

The Big Send-off: High Performance Collectives on GPU-based Supercomputers. - Siddharth Singh; Mahua Singh; Abhinav Bhatele (CoRR, 2025)

Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training. - Aditya Ranjan; Siddharth Singh; Cunyang Wei; Abhinav Bhatele (CoRR, 2025)

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. - 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; et al. (CoRR, 2025)

Zero-Shot Vision Encoder Grafting via LLM Surrogates. - Kaiyu Yue; Vasu Singla; Menglin Jia; John Kirchenbauer; Rifaa Qadri; Zikui Cai; Abhinav Bhatele; Furong Huang; Tom Goldstein (CoRR, 2025)

Power Law Guided Dynamic Sifting for Efficient Attention. - Nirav Koley; Prajwal Singhania; Abhinav Bhatele (CoRR, 2025)

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. - Joshua Hoke Davis; Daniel Nichols; Ishan Khillan; Abhinav Bhatele (CoRR, 2025)

Modeling Code: Is Text All You Need? - Daniel Nichols; Konstantinos Parasyris; Harshitha Menon; Brian R. Bartoldson; Giorgis Georgakoudis; Tal Ben-Nun; Abhinav Bhatele (CoRR, 2025)

VAHRM: Variation-Aware Resource Management in Heterogeneous Supercomputing Systems. - Kohei Yoshida; Ryuichi Sakamoto; Kento Sato; Abhinav Bhatele; Hayato Yamaki; Hiroki Honda; Shinobu Miwa (IEEE Trans. Parallel Distributed Syst., 2025)