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2020 – today
- 2024
[j17]Connor Scully-Allison
, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Trans. Vis. Comput. Graph. 30(9): 6572-6585 (2024)- [c82]Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele:
Relative Performance Prediction Using Few-Shot Learning. COMPSAC 2024: 1764-1769 - [c81]Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele:
Can Large Language Models Write Parallel Code? HPDC 2024: 281-294 - [c80]Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele:
Predicting Cross-Architecture Performance of Parallel Programs. IPDPS 2024: 570-581 - [c79]Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin:
Learning to Predict and Improve Build Successes in Package Ecosystems. MSR 2024: 531-542 - [c78]Harsh Khetawat, Nikhil Jain, Abhinav Bhatele, Frank Mueller:
Predicting GPUDirect Benefits for HPC Workloads. PDP 2024: 88-97 - [c77]Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele:
HPC-Coder: Modeling Parallel Programs using Large Language Models. ISC 2024: 1-12 - [i21]Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele:
A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. CoRR abs/2401.08124 (2024) - [i20]Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele:
Can Large Language Models Write Parallel Code? CoRR abs/2401.12554 (2024) - [i19]Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele:
Automated Programmatic Performance Analysis of Parallel Programs. CoRR abs/2401.13150 (2024) - [i18]Joshua Hoke Davis, Pranav Sivaraman, Isaac Minn, Konstantinos Parasyris, Harshitha Menon, Giorgis Georgakoudis, Abhinav Bhatele:
An Evaluative Comparison of Performance Portability across GPU Programming Models. CoRR abs/2402.08950 (2024) - [i17]Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele:
Performance-Aligned LLMs for Generating Fast Code. CoRR abs/2404.18864 (2024) - [i16]Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein:
Transformers Can Do Arithmetic with the Right Embeddings. CoRR abs/2405.17399 (2024) - [i15]Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele:
Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR abs/2406.02542 (2024) - [i14]Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein:
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR abs/2406.10209 (2024) - [i13]Vasu Singla, Kaiyu Yue, Sukriti Paul, Reza Shirkavand, Mayuka Jayawardhana, Alireza Ganjdanesh, Heng Huang, Abhinav Bhatele, Gowthami Somepalli, Tom Goldstein:
From Pixels to Prose: A Large Dataset of Dense Image Captions. CoRR abs/2406.10328 (2024) - 2023
- [j16]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. 29(3): 1691-1704 (2023) - [c76]Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele:
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training. ICS 2023: 203-214 - [c75]Siddharth Singh, Abhinav Bhatele:
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. IPDPS 2023: 245-255 - [c74]Joshua Hoke Davis, Justin Shafner, Daniel Nichols, Nathan Grube, Pino Martin, Abhinav Bhatele:
Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. IPDPS 2023: 602-612 - [e4]Abhinav Bhatele, Jeff R. Hammond, Marc Baboulin, Carola Kruse:
High Performance Computing - 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21-25, 2023, Proceedings. Lecture Notes in Computer Science 13948, Springer 2023, ISBN 978-3-031-32040-8 [contents] - [i12]Siddharth Singh, Abhinav Bhatele:
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. CoRR abs/2302.05045 (2023) - [i11]Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele:
A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training. CoRR abs/2303.06318 (2023) - [i10]Siddharth Singh, Zack Sating, Abhinav Bhatele:
Communication-minimizing Asynchronous Tensor Parallelism. CoRR abs/2305.13525 (2023) - [i9]Abhinav Bhatele, Rakrish Dhakal, Alexander Movsesyan, Aditya Ranjan, Jordan Marry, Onur Cankur:
Pipit: Enabling programmatic analysis of parallel execution traces. CoRR abs/2306.11177 (2023) - [i8]Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele:
Modeling Parallel Programs using Large Language Models. CoRR abs/2306.17281 (2023) - [i7]Siddharth Singh, Zachary Sating, Abhinav Bhatele:
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization. CoRR abs/2310.12298 (2023) - [i6]Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan, Kathryn M. Mohror, Abhinav Bhatele:
ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. CoRR abs/2312.06131 (2023) - 2022
- [c73]Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele:
Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. IPDPS 2022: 335-345 - [c72]Siddharth Singh, Abhinav Bhatele:
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. IPDPS 2022: 606-616 - [c71]Onur Cankur, Abhinav Bhatele:
Comparative Evaluation of Call Graph Generation by Profiling Tools. ISC 2022: 213-232 - [e3]Ana Lucia Varbanescu, Abhinav Bhatele, Piotr Luszczek, Marc Baboulin:
High Performance Computing - 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 - June 2, 2022, Proceedings. Lecture Notes in Computer Science 13289, Springer 2022, ISBN 978-3-031-07311-3 [contents] - [i5]Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. CoRR abs/2205.04557 (2022) - 2021
- [j15]Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer:
Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. 27(4): 2455-2468 (2021) - [c70]Saptarshi Bhowmik, Nikhil Jain, Xin Yuan, Abhinav Bhatele:
A Simulation Study of Hardware Parameters for Future GPU-based HPC Platforms. IPCCC 2021: 1-10 - [d10]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Zane Fink, Juan J. Galvez, Pathikrit Ghosh, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Justin Josef Szaday, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v7.0.0-rc1. Version v7.0.0-rc1. Zenodo, 2021 [all versions]
- [d9]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Zane Fink, Juan J. Galvez, Pathikrit Ghosh, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Justin Josef Szaday, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v7.0.0-rc2. Version v7.0.0-rc2. Zenodo, 2021 [all versions] - [d8]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Zane Fink, Juan J. Galvez, Pathikrit Ghosh, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Justin Josef Szaday, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: Charm++ version 7.0.0. Version v7.0.0. Zenodo, 2021 [all versions] - [i4]Siddharth Singh, Abhinav Bhatele:
Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning. CoRR abs/2110.13005 (2021) - [i3]Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele:
How to Train Your Neural Network: A Comparative Evaluation. CoRR abs/2111.04949 (2021) - 2020
- [c69]Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees:
Predicting MPI Collective Communication Performance Using Machine Learning. CLUSTER 2020: 259-269 - [c68]Jaemin Choi, David F. Richards, Laxmikant V. Kalé, Abhinav Bhatele:
End-to-end performance modeling of distributed GPU applications. ICS 2020: 30:1-30:12 - [c67]Harshitha Menon, Abhinav Bhatele, Todd Gamblin:
Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. IPDPS 2020: 831-840 - [c66]Abhinav Bhatele, Jayaraman J. Thiagarajan, Taylor L. Groves, Rushil Anirudh, Staci A. Smith, Brandon Cook, David K. Lowenthal:
The Case of Performance Variability on Dragonfly-based Systems. IPDPS 2020: 896-905 - [c65]Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele:
Usability and Performance Improvements in Hatchet. HUST/ProTools@SC 2020: 49-58 - [d7]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.10.0. Version v6.10.0. Zenodo, 2020 [all versions] - [d6]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.10.1. Version v6.10.1. Zenodo, 2020 [all versions] - [d5]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: Charm++ version 6.10.2. Version v6.10.2. Zenodo, 2020 [all versions] - [d4]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.11.0-beta1. Version v6.11.0-beta1. Zenodo, 2020 [all versions] - [i2]Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR abs/2007.01395 (2020) - [i1]Ian J. Costello, Abhinav Bhatele:
Analytics of Longitudinal System Monitoring Data for Performance Prediction. CoRR abs/2007.03451 (2020)
2010 – 2019
- 2019
- [c64]Giorgis Georgakoudis, Nikhil Jain, Takatsugu Ono, Koji Inoue, Shinobu Miwa, Abhinav Bhatele:
Evaluating the Impact of Energy Efficient Networks on HPC Workloads. HiPC 2019: 301-310 - [c63]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs. ICS 2019: 380-391 - [c62]Abhinav Bhatele, Nikhil Jain, Misbah Mubarak, Todd Gamblin:
Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. SIGSIM-PADS 2019: 1-12 - [c61]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs: poster. PPoPP 2019: 415-416 - [c60]Abhinav Bhatele, Stephanie Brink, Todd Gamblin:
Hatchet: pruning the overgrowth in parallel profiles. SC 2019: 20:1-20:21 - [e2]Abhinav Bhatele, David Böhme, Joshua A. Levine, Allen D. Malony, Martin Schulz:
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. Lecture Notes in Computer Science 11027, Springer 2019, ISBN 978-3-030-17871-0 [contents] - [d3]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.10.0-beta1. Version v6.10.0-beta1. Zenodo, 2019 [all versions] - [d2]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.10.0-rc. Version v6.10.0-rc. Zenodo, 2019 [all versions] - [d1]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, Kavitha Chandrasekar, Jaemin Choi, Michael Denardo, Jayant DeSouza, Matthias Diener, Harshit Dokania, Isaac Dooley, Wayne Fenton, Juan J. Galvez, Filippo Gioachin, Abhishek Gupta, Gagan Gupta, Manish Gupta, Attila Gürsoy, Vipul Harsh, Fang Hu, Chao Huang, Narain Jagathesan, Nikhil Jain, Pritish Jetley, Prateek Jindal, Raghavendra Kanakagiri, Gregory A. Koenig, Sanjeev Krishnan, Sameer Kumar, David M. Kunzman, Michael Lang, Akhil Langer, Orion Sky Lawlor, Chee Wai Lee, Jonathan Lifflander, Karthik Mahesh, Celso L. Mendes, Harshitha Menon, Chao Mei, Esteban Meneses, Eric Mikida, Phil Miller, Ryan M. Mokos, Venkatasubrahmanian Narayanan, Xiang Ni, Kevin Nomura, Sameer Paranjpye, Parthasarathy Ramachandran, Balkrishna Ramkumar, Evan Ramos, Michael P. Robson, Neelam Saboo, Vikram A. Saletore, Osman Sarood, Karthik Senthil, Nimish Shah, Wei Wennie Shu, Amitabh Sinha, Yanhua Sun, Zehra Sura, Ehsan Totoni, Krishnan Varadarajan, Ramprasad Venkataraman, Jackie Wang, Lukasz Wesolowski, Sam White, Terry Wilmarth, Jeff Wright, Josh Yelon, Gengbin Zheng:
UIUC-PPL/charm: v6.10.0-rc2. Version v6.10.0-rc2. Zenodo, 2019 [all versions] - 2018
- [j14]Harsh Bhatia, Nikhil Jain, Abhinav Bhatele, Yarden Livnat, Jens Domke, Valerio Pascucci, Peer-Timo Bremer:
Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. Comput. Graph. Forum 37(3): 561-572 (2018) - [j13]Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann:
MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. 24(7): 2180-2193 (2018) - [c59]Kevin A. Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz, Abhinav Bhatele:
Interference between I/O and MPI Traffic on Fat-tree Networks. ICPP 2018: 7:1-7:10 - [c58]Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin:
Bootstrapping Parameter Space Exploration for Fast Tuning. ICS 2018: 385-395 - [c57]Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin:
PADDLE: Performance Analysis Using a Data-Driven Learning Environment. IPDPS 2018: 784-793 - [c56]Samuel D. Pollard, Nikhil Jain, Stephen Herbein, Abhinav Bhatele:
Evaluation of an interference-free node allocation policy on fat-tree clusters. SC 2018: 26:1-26:13 - [c55]Staci A. Smith, Clara E. Cromey, David K. Lowenthal, Jens Domke, Nikhil Jain, Jayaraman J. Thiagarajan, Abhinav Bhatele:
Mitigating inter-job interference using adaptive flow-aware routing. SC 2018: 27:1-27:15 - [c54]Alexandre Bergel, Abhinav Bhatele, David Böhme, Patrick Gralka, Kevin S. Griffin, Marc-André Hermanns, Dusan Okanovic, Olga Pearce, Tom Vierjahn:
Visual Analytics Challenges in Analyzing Calling Context Trees. ESPT/VPA@SC 2018: 233-249 - 2017
- [j12]Erik W. Draeger, Xavier Andrade, John A. Gunnels, Abhinav Bhatele, Andre Schleife, Alfredo A. Correa:
Massively parallel first-principles simulation of electron dynamics in materials. J. Parallel Distributed Comput. 106: 205-214 (2017) - [c53]Noah Wolfe, Misbah Mubarak, Nikhil Jain, Jens Domke, Abhinav Bhatele, Christopher D. Carothers, Robert B. Ross:
Preliminary Performance Analysis of Multi-rail Fat-tree Networks. CCGrid 2017: 258-261 - [c52]Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kalé, Madhav V. Marathe:
Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. CCGrid 2017: 689-694 - [c51]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:
Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers. CLUSTER 2017: 204-215 - [c50]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:
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops 2017: 343-347 - [c49]Nikhil Jain, Abhinav Bhatele, Xiang Ni, Todd Gamblin, Laxmikant V. Kalé:
Partitioning Low-Diameter Networks to Eliminate Inter-Job Interference. IPDPS 2017: 439-448 - [c48]Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin:
Performance modeling under resource constraints using deep transfer learning. SC 2017: 31 - [c47]Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz:
ScrubJay: deriving knowledge from the disarray of HPC performance data. SC 2017: 35 - [c46]Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger:
Predicting the performance impact of different fat-tree configurations. SC 2017: 50 - [c45]Misbah Mubarak, Nikhil Jain, Jens Domke, Noah Wolfe, Caitlin Ross, Jianping Kelvin Li, Abhinav Bhatele, Christopher D. Carothers, Kwan-Liu Ma, Robert B. Ross:
Toward reliable validation of HPC network simulation models. WSC 2017: 659-674 - 2016
- [j11]Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. 27(3): 829-840 (2016) - [c44]Abhinav Bhatele, Nikhil Jain, Yarden Livnat, Valerio Pascucci, Peer-Timo Bremer:
Analyzing Network Health and Congestion in Dragonfly-Based Supercomputers. IPDPS 2016: 93-102 - [c43]Erik W. Draeger, Xavier Andrade, John A. Gunnels, Abhinav Bhatele, Andre Schleife, Alfredo A. Correa:
Massively Parallel First-Principles Simulation of Electron Dynamics in Materials. IPDPS 2016: 832-841 - [c42]Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, Abhinav Bhatele:
LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics. IPDPS Workshops 2016: 1132-1141 - [c41]Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer:
VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC 2016: 25-28 - [c40]Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev:
Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. PMBS@SC 2016: 32-42 - [c39]Nikhil Jain, Abhinav Bhatele, Sam White, Todd Gamblin, Laxmikant V. Kalé:
Evaluating HPC networks via simulation of parallel workloads. SC 2016: 154-165 - [c38]Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin:
A machine learning framework for performance coverage analysis of proxy applications. SC 2016: 538-549 - [c37]Edgar A. León, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger:
Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. SC 2016: 909-920 - 2015
- [c36]Bilge Acun, Nikhil Jain, Abhinav Bhatele, Misbah Mubarak, Christopher D. Carothers, Laxmikant V. Kalé:
Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations. Euro-Par Workshops 2015: 417-429 - [c35]Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé:
Identifying the Culprits Behind Network Congestion. IPDPS 2015: 113-122 - [c34]Nikhil Jain, Abhinav Bhatele, Jae-Seung Yeom, Mark F. Adams, Francesco Miniati, Chao Mei, Laxmikant V. Kalé:
Charm++ and MPI: Combining the Best of Both Worlds. IPDPS 2015: 655-664 - [c33]