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ORCIDGaurav Verma 0003
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Other persons with the same name
- Gaurav Verma — disambiguation page
- Gaurav Verma 0001
![[0000-0002-5141-4938]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5141-4938")
- Gaurav Verma 0002
- Gaurav Verma 0004
- Gaurav Verma 0005
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2020 – today
- 2025
[c10]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:
The AmpereOne A192-32X in Perspective: Benchmarking a New Standard. HPC Asia Workshops 2025: 23-35- 2024
- [c9]Smeet Chheda, Gaurav Verma, Shilei Tian, Barbara M. Chapman, Johannes Doerfert:
Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime. SC Workshops 2024: 919-929 - [c8]Rodrigo Ristow Hadlich, Gaurav Verma, Tony Curtis, Eva Siegmann, Dimitris Assanis:
A64FX Enables Engine Decarbonization Using Deep Learning. PEARC 2024: 52:1-52:5 - [i2]Michael Canesche, Gaurav Verma, Fernando Magno Quintão Pereira:
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent. CoRR abs/2406.20037 (2024) - 2023
- [c7]Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman:
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation. ExHET@PPoPP 2023: 2:1-2:6 - [i1]Gaurav Verma, Siddhisanket Raskar, Zhen Xie, Abid M. Malik, Murali Emani, Barbara M. Chapman:
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation. CoRR abs/2304.05430 (2023) - 2022
- [c6]Gaurav Verma, Swetang Finviya, Abid M. Malik, Murali Emani, Barbara M. Chapman:
Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler. CF 2022: 244-250 - 2021
- [c5]Gaurav Verma, Yashi Gupta, Abid M. Malik, Barbara M. Chapman:
Performance Evaluation of Deep Learning Compilers for Edge Inference. IPDPS Workshops 2021: 858-865 - [c4]Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman:
HPCFAIR: Enabling FAIR AI for HPC Applications. MLHPC@SC 2021: 58-68 - [c3]Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen:
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. MLHPC@SC 2021: 69-80 - 2020
- [c2]Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan:
Enhancing DataRaceBench for Evaluating Data Race Detection Tools. CORRECTNESS@SC 2020: 20-30
2010 – 2019
- 2015
- [c1]Gaurav Verma, Arun Nandewal, K. Chandrasekaran:
Cluster Based Routing in NDN. ITNG 2015: 296-301
Coauthor Index
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