Harshitha Menon

58 papers A 14B 4C 5Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems. CoRR Harshitha Menon, Charles F. Jekel, Kevin Korner, Brian Gunnarson, Nathan K. Brown, Michael Stees, M. Giselle Fernández-Godino, Walter Nissen, Meir H. Shachar, Dane M. Sterbentz, William Schill, Yue Hao, Robert N. Rieben, William Roshan Quadros, Steven Owen, Scott Mitchell, Ismael D. Boureima, Jonathan L. Belof
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`	Steering Code LLMs with Activation Directions for Language and Library Control. CoRR Md Mahbubur Rahman, Arjun Guha, Harshitha Menon
2025	A	`conf`	Can Large Language Models Predict Parallel Code Performance? HPDC Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon, Konstantinos Parasyris, Niranjan Hasabnis, Hayden Estes, Kirk W. Cameron, Gal Oren
2025	J	`jnl`	Can Large Language Models Predict Parallel Code Performance? CoRR Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon, Konstantinos Parasyris, Niranjan Hasabnis, Hayden Estes, Kirk W. Cameron, Gal Oren
2025	J	`jnl`	Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity. CoRR Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Harshitha Menon, Niranjan Hasabnis, Kirk W. Cameron, Gal Oren
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	J	`jnl`	LLMs as Packagers of HPC Software. CoRR Caetano Melone, Daniel Nichols, Konstantinos Parasyris, Todd Gamblin, Harshitha Menon
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`	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	—	`conf`	More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation. IJCNLP-AACL (long papers) Yangtian Zi, Harshitha Menon, Arjun Guha
2025	J	`jnl`	More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation. CoRR Yangtian Zi, Harshitha Menon, Arjun Guha
2025	J	`jnl`	Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy. CoRR Meir H. Shachar, Dane M. Sterbentz, Harshitha Menon, Charles F. Jekel, M. Giselle Fernández-Godino, Nathan K. Brown, Ismael D. Boureima, Yue Hao, Kevin Körner, Robert N. Rieben, Daniel A. White, William Schill, Jonathan L. Belof
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	J	`jnl`	Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. CoRR Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Anshu Dubey, Roscoe Giles, Denice Ward Hood, Mary Ann E. Leung, Vanessa Lopez-Marrero, Paul Messina, Olivia B. Newton, Chris Oehmen, Stefan M. Wild, James M. Willenbring, Lou Woodley, Tony Baylis, David E. Bernholdt, Chris Camano, Johanna Cohoon, Charles Ferenbaugh, Stephen M. Fiore, Sandra Gesing, Diego Gómez-Zará, James Howison, Tanzima Z. Islam, David Kepczynski, Charles Lively, Harshitha Menon, Bronson Messer, Marieme Ngom, Umesh Paliath, Michael E. Papka, Irene Qualters, Elaine M. Raybourn, Katherine Riley, Paulina Rodriguez, Damian W. I. Rouson, Michelle Schwalbe, Sudip K. Seal, Ozge Surer, Valerie Taylor, Lingfei Wu
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
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`	A Visual Comparison of Silent Error Propagation. IEEE Trans. Vis. Comput. Graph. Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Shusen Liu, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci
2024	J	`jnl`	A taxonomy of automatic differentiation pitfalls. WIREs Data. Mining. Knowl. Discov. Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët
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	A	`conf`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. SC Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
2024	J	`jnl`	HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications. CoRR Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer-Timo Bremer
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`	Performance-Aligned LLMs for Generating Fast Code. CoRR Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2023	J	`jnl`	Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era. IT Prof. Harshitha Menon, James Diffenderfer, Giorgis Georgakoudis, Ignacio Laguna, Michael O. Lam, Daniel Osei-Kuffuor, Konstantinos Parasyris, Jackson Vanover
2023	A	`conf`	Fast And Automatic Floating Point Error Analysis With CHEF-FP. IPDPS Garima Singh, Baidyanath Kundu, Harshitha Menon, Alexander Penev, David J. Lange, Vassil Vassilev
2023	J	`jnl`	Fast And Automatic Floating Point Error Analysis With CHEF-FP. CoRR Garima Singh, Baidyanath Kundu, Harshitha Menon, Alexander Penev, David J. Lange, Vassil Vassilev
2023	A	`conf`	HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. SC Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon
2023	J	`jnl`	HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. CoRR Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon
2023	J	`jnl`	Modeling Parallel Programs using Large Language Models. CoRR Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2023	J	`jnl`	Understanding Automatic Differentiation Pitfalls. CoRR Jan Hückelheim, Harshitha Menon, William S. Moses, Bruce Christianson, Paul D. Hovland, Laurent Hascoët
2022	J	`jnl`	A Framework for Error-Bounded Approximate Computing, with an Application to Dot Products. SIAM J. Sci. Comput. James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon
2022	A	`conf`	Approximate Computing Through the Lens of Uncertainty Quantification. SC Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover, Ryan Vogt, Daniel Osei-Kuffuor
2022	J	`jnl`	Reliabuild: Searching for High-Fidelity Builds Using Active Learning. CoRR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2022	A	`conf`	Searching for High-Fidelity Builds Using Active Learning. MSR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2021	A	`conf`	HPAC: evaluating approximate computing techniques on HPC OpenMP applications. SC Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan
2021	J	`jnl`	QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing. CoRR James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon
2021	J	`jnl`	SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems. IEEE Trans. Vis. Comput. Graph. Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn M. Mohror, Peer-Timo Bremer, Valerio Pascucci
2021	B	`conf`	Understanding a program's resiliency through error propagation. PPoPP Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Peer-Timo Bremer, Yarden Livnat, Valerio Pascucci
2020	A	`conf`	Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. IPDPS Harshitha Menon, Abhinav Bhatele, Todd Gamblin
2020	—	`conf`	HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis. IISWC Konstantinos Parasyris, Ignacio Laguna, Harshitha Menon, Markus Schordan, Daniel Osei-Kuffuor, Giorgis Georgakoudis, Michael O. Lam, Tristan Vanderbruggen
2019	—	`conf`	Tool Integration for Source-Level Mixed Precision. CORRECTNESS@SC Michael O. Lam, Tristan Vanderbruggen, Harshitha Menon, Markus Schordan
2018	A	`conf`	ADAPT: algorithmic differentiation applied to floating-point precision tuning. SC Harshitha Menon, Michael O. Lam, Daniel Osei-Kuffuor, Markus Schordan, Scott Lloyd, Kathryn M. Mohror, Jeffrey Hittinger
2018	B	`conf`	DisCVar: discovering critical variables using algorithmic differentiation for transient faults. PPoPP Harshitha Menon, Kathryn M. Mohror
2018	B	`conf`	Multi-Level Load Balancing with an Integrated Runtime Approach. CCGrid Seonmyeong Bak, Harshitha Menon, Sam White, Matthias Diener, Laxmikant V. Kalé
2017	—	`conf`	Integrating OpenMP into the Charm++ Programming Model. ESPM2@SC Seonmyeong Bak, Harshitha Menon, Sam White, Matthias Diener, Laxmikant V. Kalé
2017	B	`conf`	POSTER: Automated Load Balancer Selection Based on Application Characteristics. PPoPP Harshitha Menon, Kavitha Chandrasekar, Laxmikant V. Kalé
2017	—	`conf`	Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code. CORRECTNESS@SC Markus Schordan, Jan Hückelheim, Pei-Hung Lin, Harshitha Menon
2016	—	`—`	Adaptive load balancing for HPC applications Harshitha Menon
2016	J	`jnl`	Power, Reliability, and Performance: One System to Rule them All. Computer Bilge Acun, Akhil Langer, Esteban Meneses, Harshitha Menon, Osman Sarood, Ehsan Totoni, Laxmikant V. Kalé
2014	A	`conf`	Parallel Programming with Migratable Objects: Charm++ in Practice. SC Bilge Acun, Abhishek Gupta, Nikhil Jain, Akhil Langer, Harshitha Menon, Eric Mikida, Xiang Ni, Michael P. Robson, Yanhua Sun, Ehsan Totoni, Lukasz Wesolowski, Laxmikant V. Kalé
2014	C	`conf`	Scalable replay with partial-order dependencies for message-logging fault tolerance. CLUSTER Jonathan Lifflander, Esteban Meneses, Harshitha Menon, Phil Miller, Sriram Krishnamoorthy, Laxmikant V. Kalé
2013	A	`conf`	A distributed dynamic load balancer for iterative applications. SC Harshitha Menon, Laxmikant V. Kalé
2013	C	`conf`	Thermal aware automated load balancing for HPC applications. CLUSTER Harshitha Menon, Bilge Acun, Simon Garcia De Gonzalo, Osman Sarood, Laxmikant V. Kalé
2012	C	`conf`	Automated Load Balancing Invocation Based on Application Characteristics. CLUSTER Harshitha Menon, Nikhil Jain, Gengbin Zheng, Laxmikant V. Kalé