The tensor algebra compiler F Kjolstad, S Kamil, S Chou, D Lugato, S Amarasinghe Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-29, 2017 | 392 | 2017 |
Format abstraction for sparse tensor algebra compilers S Chou, F Kjolstad, S Amarasinghe Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018 | 125 | 2018 |
Ghost cell pattern FB Kjolstad, M Snir Proceedings of the 2010 Workshop on Parallel Programming Patterns, 1-9, 2010 | 97 | 2010 |
Simit: A language for physical simulation F Kjolstad, S Kamil, J Ragan-Kelley, DIW Levin, S Sueda, D Chen, ... ACM Transactions on Graphics (TOG) 35 (2), 1-21, 2016 | 71 | 2016 |
Taco: A tool to generate tensor algebra kernels F Kjolstad, S Chou, D Lugato, S Kamil, S Amarasinghe 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 58 | 2017 |
Tensor algebra compilation with workspaces F Kjolstad, P Ahrens, S Kamil, S Amarasinghe 2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019 | 55 | 2019 |
A sparse iteration space transformation framework for sparse tensor algebra R Senanayake, C Hong, Z Wang, A Wilson, S Chou, S Kamil, ... Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-30, 2020 | 51 | 2020 |
Transformation for class immutability F Kjolstad, D Dig, G Acevedo, M Snir Proceedings of the 33rd International Conference on Software Engineering, 61-70, 2011 | 49 | 2011 |
Compiler support for sparse tensor computations in MLIR A Bik, P Koanantakool, T Shpeisman, N Vasilache, B Zheng, F Kjolstad ACM Transactions on Architecture and Code Optimization (TACO) 19 (4), 1-25, 2022 | 47 | 2022 |
MPI datatype processing using runtime compilation T Schneider, F Kjolstad, T Hoefler Proceedings of the 20th European MPI Users' Group Meeting, 19-24, 2013 | 36 | 2013 |
Automatic generation of efficient sparse tensor format conversion routines S Chou, F Kjolstad, S Amarasinghe Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020 | 33 | 2020 |
Compilation of sparse array programming models R Henry, O Hsu, R Yadav, S Chou, K Olukotun, S Amarasinghe, ... Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-29, 2021 | 29 | 2021 |
Creating an Agile Hardware Design Flow R Bahr, C Barrett, N Bhagdikar, A Carsello, R Daly, C Donovick, D Durst, ... Design Automation Conference (DAC), 2020 | 29 | 2020 |
DISTAL: the distributed tensor algebra compiler R Yadav, A Aiken, F Kjolstad Proceedings of the 43rd ACM SIGPLAN International Conference on Programming …, 2022 | 23 | 2022 |
The sparse abstract machine O Hsu, M Strange, R Sharma, J Won, K Olukotun, JS Emer, MA Horowitz, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 21 | 2023 |
Autoscheduling for sparse tensor algebra with an asymptotic cost model W Ahrens, F Kjolstad, S Amarasinghe Proceedings of the 43rd ACM SIGPLAN International Conference on Programming …, 2022 | 21 | 2022 |
Automatic datatype generation and optimization F Kjolstad, T Hoefler, M Snir Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of …, 2012 | 21 | 2012 |
Aha: An agile approach to the design of coarse-grained reconfigurable accelerators and compilers K Koul, J Melchert, K Sreedhar, L Truong, G Nyengele, K Zhang, Q Liu, ... ACM Transactions on Embedded Computing Systems 22 (2), 1-34, 2023 | 18 | 2023 |
Sparse tensor algebra compilation F Kjolstad Massachusetts Institute of Technology, 2020 | 18 | 2020 |
Bringing the HPC Programmer’s IDE into the 21st Century through Refactoring F Kjolstad, D Dig, M Snir SPLASH 2010 Workshop on Concurrency for the Application Programmer (CAP’10 …, 2010 | 16 | 2010 |