| Fast sparse matrix-vector multiplication on GPUs for graph applications A Ashari, N Sedaghati, J Eisenlohr, S Parthasarath, P Sadayappan SC'14: Proceedings of the International Conference for High Performance …, 2014 | 191 | 2014 |
| An efficient two-dimensional blocking strategy for sparse matrix-vector multiplication on GPUs A Ashari, N Sedaghati, J Eisenlohr, P Sadayappan Proceedings of the 28th ACM international conference on Supercomputing, 273-282, 2014 | 87 | 2014 |
| On optimizing machine learning workloads via kernel fusion A Ashari, S Tatikonda, M Boehm, B Reinwald, K Campbell, J Keenleyside, ... ACM SIGPLAN Notices 50 (8), 173-182, 2015 | 59 | 2015 |
| Pipelined approach to fused kernels for optimization of machine learning workloads on graphical processing units A Ashari, M Boehm, KW Campbell, A Evfimievski, JD Keenleyside, ... US Patent 9,972,063, 2018 | 37 | 2018 |
| Characterizing dataset dependence for sparse matrix-vector multiplication on GPUs N Sedaghati, A Ashari, LN Pouchet, S Parthasarathy, P Sadayappan Proceedings of the 2nd workshop on parallel programming for analytics …, 2015 | 17 | 2015 |
| A model-driven blocking strategy for load balanced sparse matrix–vector multiplication on GPUs A Ashari, N Sedaghati, J Eisenlohr, P Sadayappan Journal of Parallel and Distributed Computing 76, 3-15, 2015 | 15 | 2015 |
| Pipelined approach to fused kernels for optimization of machine learning workloads on graphical processing units A Ashari, M Boehm, KW Campbell, A Evfimievski, JD Keenleyside, ... US Patent 10,223,762, 2019 | 3 | 2019 |
| Sparse Matrix-Vector Multiplication on GPU A Ashari The Ohio State University, 2014 | | 2014 |
| Machine Learning based Compiler Optimization A Ashari, D Del Vento, P Sadayappan AGU Fall Meeting Abstracts 2012, IN43C-1528, 2012 | | 2012 |
| Machine learning-based compiler optimization [poster] A Ashari, D Del Vento, P Sadayappan | | 2012 |
| Machine Learning based Compiler Optimization (IN43C-1528) A Ashari, P Sadayappan, D Del Vento | | |