Gaurav Verma

According to our database, Gaurav Verma authored at least 11 papers between 2015 and 2025.

Collaborative distances:

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

2025

The AmpereOne A192-32X in Perspective: Benchmarking a New Standard.

David Carlson, Nikolay Simakov, Rodrigo Ristow Hadlich, Anthony Curtis, Joshua Ezekiel Martin, Gaurav Verma, Smeet Chheda, Firat Coskun, Raul Gonzalez, Daniel G. Wood, Feng Zhang, Robert J. Harrison, Eva Siegmann

Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2025

2024

Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent.

Michael Canesche, Gaurav Verma, Fernando Magno Quintão Pereira

CoRR, 2024

A64FX Enables Engine Decarbonization Using Deep Learning.

Rodrigo Ristow Hadlich, Gaurav Verma, Tony Curtis, Eva Siegmann, Dimitris Assanis

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime.

Smeet Chheda, Gaurav Verma, Shilei Tian, Barbara M. Chapman, Johannes Doerfert

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation.

Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman

Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

2022

Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler.

Gaurav Verma, Swetang Finviya, Abid M. Malik, Murali Emani, Barbara M. Chapman

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

HPCFAIR: Enabling FAIR AI for HPC Applications.

Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing.

Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Performance Evaluation of Deep Learning Compilers for Edge Inference.

Gaurav Verma, Yashi Gupta, Abid M. Malik, Barbara M. Chapman

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

2020

Enhancing DataRaceBench for Evaluating Data Race Detection Tools.

Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan

Proceedings of the 4th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2020

2015

Cluster Based Routing in NDN.

Gaurav Verma, Arun Nandewal, K. Chandrasekaran

Proceedings of the 12th International Conference on Information Technology, 2015