Compiler generation and autotuning of communication-avoiding operators for geometric multigrid. - Protonu Basu; Anand Venkat; Mary W. Hall; Samuel Williams 001; Brian van Straalen; Leonid Oliker (HiPC, 2013)

Towards making autotuning mainstream. - Protonu Basu; Mary W. Hall; Malik Murtaza Khan 001; Suchit Maindola; Saurav Muralidharan; Shreyas Ramalingam; Axel Rivera; Manu Shantharam; Anand Venkat (Int. J. High Perform. Comput. Appl., 2013)

A script-based autotuning compiler system to generate high-performance CUDA code. - Malik Murtaza Khan 001; Protonu Basu; Gabe Rudy; Mary W. Hall; Chun Chen 002; Jacqueline Chame (ACM Trans. Archit. Code Optim., 2013)

Compiler-Directed Transformation for Higher-Order Stencils. - Protonu Basu; Mary W. Hall; Samuel Williams 001; Brian van Straalen; Leonid Oliker; Phillip Colella (IPDPS, 2015)

Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC. - Mary W. Hall; Protonu Basu (LCPC, 2016)

Compiler Optimizations and Attuning for Stencils and Geometric Multigrid. - Protonu Basu (2016)

Automating Compiler-Directed Autotuning for Phased Performance Behavior. - Tharindu Rusira; Mary W. Hall; Protonu Basu (IPDPS Workshops, 2017)

Snowflake: A Lightweight Portable Stencil DSL. - Nathan Zhang; Michael B. Driscoll; Charles Markley; Samuel Williams 001; Protonu Basu; Armando Fox (IPDPS Workshops, 2017)

Compiler-based code generation and autotuning for geometric multigrid on GPU-accelerated supercomputers. - Protonu Basu; Samuel Williams 001; Brian van Straalen; Leonid Oliker; Phillip Colella; Mary W. Hall (Parallel Comput., 2017)

SIMD code generation for stencils on brick decompositions. - Tuowen Zhao; Mary W. Hall; Protonu Basu; Samuel Williams 001; Hans Johansen (PPoPP, 2018)

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. - 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; et al. (CoRR, 2018)

Exploiting reuse and vectorization in blocked stencil computations on CPUs and GPUs. - Tuowen Zhao; Protonu Basu; Samuel Williams 001; Mary W. Hall; Hans Johansen (SC, 2019)

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. - Daya Shanker Khudia; Jianyu Huang; Protonu Basu; Summer Deng; Haixin Liu; Jongsoo Park; Mikhail Smelyanskiy (CoRR, 2021)

Bricks: A high-performance portability layer for computations on block-structured grids. - Mahesh Lakshminarasimhan; Oscar Antepara; Tuowen Zhao; Benjamin Sepanski; Protonu Basu; Hans Johansen; Mary W. Hall; Samuel Williams 001 (Int. J. High Perform. Comput. Appl., 2024)