Aniruddha Marathe

According to our database, Aniruddha Marathe authored at least 31 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations.

Tanzima Z. Islam, Aniruddha Marathe, Holland Schutte, Mohammad Zaeed

CoRR, 2024

Performance-Aligned LLMs for Generating Fast Code.

Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele

CoRR, 2024

HPC-Coder: Modeling Parallel Programs using Large Language Models.

Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability.

Gabin Schieffer, Daniel Araújo de Medeiros, Jennifer Faj, Aniruddha Marathe, Ivy Peng

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI.

Banooqa H. Banday, Tanzima Z. Islam, Aniruddha Marathe

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Modeling Parallel Programs using Large Language Models.

Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele

CoRR, 2023

msr-genie: Navigating Model Specific Registers Across Processor Generations.

Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, Stephanie Brink, Duncan McFarlane, Eric Green, Kathleen Shoga

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Resource Utilization Aware Job Scheduling to Mitigate Performance Variability.

Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool.

Holland Schutte, Chase Phelps, Aniruddha Marathe, Tanzima Z. Islam

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Introducing Application Awareness Into a Unified Power Management Stack.

Daniel Curtis Wilson, Siddhartha Jana, Aniruddha Marathe, Stephanie Brink, Christopher M. Cantalupo, Diana R. Guttman, Brad Geltz, Lowren H. Lawson, Asma H. Al-Rawi, Ali Mohammad, Fuat Keceli, Federico Ardanaz, Jonathan M. Eastep, Ayse K. Coskun

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

A Value-Oriented Job Scheduling Approach for Power-Constrained and Oversubscribed HPC Systems.

Nirmal Kumbhare, Aniruddha Marathe, Ali Akoglu, Howard Jay Siegel, Ghaleb Abdulla, Salim Hariri

IEEE Trans. Parallel Distributed Syst., 2020

Dynamic power management for value-oriented schedulers in power-constrained HPC system.

Nirmal Kumbhare, Ali Akoglu, Aniruddha Marathe, Salim Hariri, Ghaleb Abdulla

Parallel Comput., 2020

Toward an End-to-End Auto-tuning Framework in HPC PowerStack.

Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

Adaptive Power Reallocation for Value-Oriented Schedulers in Power-Constrained HPC.

Nirmal Kumbhare, Aniruddha Marathe, Ali Akoglu, Salim Hariri, Ghaleb Abdulla

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

2018

Bootstrapping Parameter Space Exploration for Fast Tuning.

Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin

Proceedings of the 32nd International Conference on Supercomputing, 2018

PShifter: feedback-based dynamic power shifting within HPC jobs for performance.

Neha Gholkar, Frank Mueller, Barry Rountree, Aniruddha Marathe

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2017

PANN: Power Allocation via Neural Networks Dynamic Bounded-Power Allocation in High Performance Computing.

Will Whiteside, Shelby H. Funk, Aniruddha Marathe, Barry Rountree

Proceedings of the 5th International Workshop on Energy Efficient Supercomputing, 2017

An empirical survey of performance and energy efficiency variation on Intel processors.

Aniruddha Marathe, Yijia Zhang, Grayson Blanks, Nirmal Kumbhare, Ghaleb Abdulla, Barry Rountree

Proceedings of the 5th International Workshop on Energy Efficient Supercomputing, 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

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the International Conference for High Performance Computing, 2017

Towards a Unified Monitoring Framework for Power, Performance and Thermal Metrics: A Case Study on the Evaluation of HPC Cooling Systems.

Aniruddha Marathe, Ghaleb Abdulla, Barry L. Rountree, Kathleen Shoga

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2.

Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz

IEEE Trans. Parallel Distributed Syst., 2016

Exploring the Relationship between Remotely-Sensed Spectral Variables and Attributes of Tropical Forest Vegetation under the Influence of Local Forest Institutions.

Shivani Agarwal, Duccio Rocchini, Aniruddha Marathe, Harini Nagendra

ISPRS Int. J. Geo Inf., 2016

LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics.

Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, Abhinav Bhatele

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

A Run-Time System for Power-Constrained HPC Applications.

Aniruddha Marathe, Peter E. Bailey, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski

Proceedings of the High Performance Computing - 30th International Conference, 2015

Finding the limits of power-constrained application performance.

Peter E. Bailey, Aniruddha Marathe, David K. Lowenthal, Barry Rountree, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2015

2014

Evaluation and Optimization of Turnaround Time and Cost of HPC Applications on the Cloud.

Aniruddha Marathe

PhD thesis, 2014

Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2.

Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

2013

Protocol Customization for Improving MPI Performance on RDMA-Enabled Clusters.

Zheng Gu, Matthew Small, Xin Yuan, Aniruddha Marathe, David K. Lowenthal

Int. J. Parallel Program., 2013

A comparative study of high-performance computing on the cloud.

Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, Xin Yuan

Proceedings of the 22nd International Symposium on High-Performance Parallel and Distributed Computing, 2013

2011

Profile Guided MPI Protocol Selection for Point-to-Point Communication Calls.

Aniruddha Marathe, David K. Lowenthal, Zheng Gu, Matthew Small, Xin Yuan

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011