Name
Abstract | ||
|---|---|---|
Generalized Sparse Matrix-Matrix Multiplication (Sparse GEMM) is widely used across multiple domains, but the computation’s regularity is dependent on the input sparsity pattern. The majority of sparse GEMM accelerators are based on the inner product method and propose new storage formats [5], [28], [31] to regularize computation. We find that these storage formats are more suited for denser matri... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/HPCA51647.2021.00017 | 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) |
Keywords | DocType | ISSN |
Performance evaluation,Schedules,Microarchitecture,Prefetching,Random access memory,Prototypes,Bandwidth | Conference | 1530-0897 |
ISBN | Citations | PageRank |
978-1-6654-2235-2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reza Hojabr | 1 | 0 | 0.68 |
| Ali Sedaghati | 2 | 0 | 0.34 |
| Amirali Sharifian | 3 | 0 | 0.34 |
| Ahmad Khonsari | 4 | 210 | 42.43 |
| Arrvindh Shriraman | 5 | 292 | 17.70 |