Harshitha Menon

Orcid: 0000-0003-4707-9580

Affiliations:
  • Lawrence Livermore National Laboratory, CA, USA


According to our database1, Harshitha Menon authored at least 47 papers between 2012 and 2024.

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Bibliography

2024
A Visual Comparison of Silent Error Propagation.
IEEE Trans. Vis. Comput. Graph., July, 2024

A taxonomy of automatic differentiation pitfalls.
WIREs Data. Mining. Knowl. Discov., 2024

Performance-Aligned LLMs for Generating Fast Code.
CoRR, 2024

An Evaluative Comparison of Performance Portability across GPU Programming Models.
CoRR, 2024

HPC-Coder: Modeling Parallel Programs using Large Language Models.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

A Probabilistic Approach To Selecting Build Configurations in Package Managers.
Proceedings of the International Conference for High Performance Computing, 2024

HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications.
Proceedings of the International Conference for High Performance Computing, 2024

Learning to Predict and Improve Build Successes in Package Ecosystems.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era.
IT Prof., 2023

Modeling Parallel Programs using Large Language Models.
CoRR, 2023

Understanding Automatic Differentiation Pitfalls.
CoRR, 2023

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU.
Proceedings of the International Conference for High Performance Computing, 2023

Fast And Automatic Floating Point Error Analysis With CHEF-FP.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
A Framework for Error-Bounded Approximate Computing, with an Application to Dot Products.
SIAM J. Sci. Comput., 2022

Reliabuild: Searching for High-Fidelity Builds Using Active Learning.
CoRR, 2022

Approximate Computing Through the Lens of Uncertainty Quantification.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Searching for High-Fidelity Builds Using Active Learning.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021



SpotSDC: Revealing the Silent Data Corruption Propagation in High-Performance Computing Systems.
IEEE Trans. Vis. Comput. Graph., 2021

QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing.
CoRR, 2021

HPAC: evaluating approximate computing techniques on HPC OpenMP applications.
Proceedings of the International Conference for High Performance Computing, 2021

Understanding a program's resiliency through error propagation.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020




Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019



Tool Integration for Source-Level Mixed Precision.
Proceedings of the 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 2019

2018
ADAPT: algorithmic differentiation applied to floating-point precision tuning.
Proceedings of the International Conference for High Performance Computing, 2018

DisCVar: discovering critical variables using algorithmic differentiation for transient faults.
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Multi-Level Load Balancing with an Integrated Runtime Approach.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code.
Proceedings of the First International Workshop on Software Correctness for HPC Applications, 2017

Integrating OpenMP into the Charm++ Programming Model.
Proceedings of the Third International Workshop on Extreme Scale Programming Models and Middleware, 2017

POSTER: Automated Load Balancer Selection Based on Application Characteristics.
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016
Adaptive load balancing for HPC applications
PhD thesis, 2016

Power, Reliability, and Performance: One System to Rule them All.
Computer, 2016

2014
Parallel Programming with Migratable Objects: Charm++ in Practice.
Proceedings of the International Conference for High Performance Computing, 2014

Scalable replay with partial-order dependencies for message-logging fault tolerance.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
A distributed dynamic load balancer for iterative applications.
Proceedings of the International Conference for High Performance Computing, 2013

Thermal aware automated load balancing for HPC applications.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Automated Load Balancing Invocation Based on Application Characteristics.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012


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