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Protonu Basu
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2020 – today
- 2024
- [j4]Mahesh Lakshminarasimhan, Oscar Antepara, Tuowen Zhao, Benjamin Sepanski, Protonu Basu, Hans Johansen, Mary W. Hall, Samuel Williams:
Bricks: A high-performance portability layer for computations on block-structured grids. Int. J. High Perform. Comput. Appl. 38(6): 549-567 (2024) - 2021
- [i2]Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy:
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. CoRR abs/2101.05615 (2021)
2010 – 2019
- 2019
- [c7]Tuowen Zhao, Protonu Basu, Samuel Williams, Mary W. Hall, Hans Johansen:
Exploiting reuse and vectorization in blocked stencil computations on CPUs and GPUs. SC 2019: 52:1-52:44 - 2018
- [c6]Tuowen Zhao, Mary W. Hall, Protonu Basu, Samuel Williams, Hans Johansen:
SIMD code generation for stencils on brick decompositions. PPoPP 2018: 423-424 - [i1]Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy:
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018) - 2017
- [j3]Protonu Basu, Samuel Williams, Brian van Straalen, Leonid Oliker, Phillip Colella, Mary W. Hall:
Compiler-based code generation and autotuning for geometric multigrid on GPU-accelerated supercomputers. Parallel Comput. 64: 50-64 (2017) - [c5]Nathan Zhang, Michael B. Driscoll, Charles Markley, Samuel Williams, Protonu Basu, Armando Fox:
Snowflake: A Lightweight Portable Stencil DSL. IPDPS Workshops 2017: 795-804 - [c4]Tharindu Rusira, Mary W. Hall, Protonu Basu:
Automating Compiler-Directed Autotuning for Phased Performance Behavior. IPDPS Workshops 2017: 1362-1371 - 2016
- [b1]Protonu Basu:
Compiler Optimizations and Attuning for Stencils and Geometric Multigrid. University of Utah, USA, 2016 - [c3]Mary W. Hall, Protonu Basu:
Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC. LCPC 2016: 101-105 - 2015
- [c2]Protonu Basu, Mary W. Hall, Samuel Williams, Brian van Straalen, Leonid Oliker, Phillip Colella:
Compiler-Directed Transformation for Higher-Order Stencils. IPDPS 2015: 313-323 - 2013
- [j2]Protonu Basu, Mary W. Hall, Malik Murtaza Khan, Suchit Maindola, Saurav Muralidharan, Shreyas Ramalingam, Axel Rivera, Manu Shantharam, Anand Venkat:
Towards making autotuning mainstream. Int. J. High Perform. Comput. Appl. 27(4): 379-393 (2013) - [j1]Malik Murtaza Khan, Protonu Basu, Gabe Rudy, Mary W. Hall, Chun Chen, Jacqueline Chame:
A script-based autotuning compiler system to generate high-performance CUDA code. ACM Trans. Archit. Code Optim. 9(4): 31:1-31:25 (2013) - [c1]Protonu Basu, Anand Venkat, Mary W. Hall, Samuel Williams, Brian van Straalen, Leonid Oliker:
Compiler generation and autotuning of communication-avoiding operators for geometric multigrid. HiPC 2013: 452-461
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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