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- research-articleJune 2019
Optimizing the linear fascicle evaluation algorithm for many-core systems
ICS '19: Proceedings of the ACM International Conference on SupercomputingPages 425–437https://doi.org/10.1145/3330345.3332469Sparse matrix-vector multiplication (SpMV) operations are commonly used in various scientific and engineering applications. The performance of the SpMV operation often depends on exploiting regularity patterns in the matrix. Various representations and ...
- research-articleJune 2019
Least squares solvers for distributed-memory machines with GPU accelerators
ICS '19: Proceedings of the ACM International Conference on SupercomputingPages 117–126https://doi.org/10.1145/3330345.3330356This work presents an implementation of a linear least squares solver for distributed-memory machines with GPU accelerators, developed as part of the Software for Linear Algebra Targeting Exascale (SLATE) package. From the algorithmic standpoint, the ...
- research-articleJune 2019
IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication
ICS '19: Proceedings of the ACM International Conference on SupercomputingPages 94–105https://doi.org/10.1145/3330345.3330354Sparse matrix-matrix multiplication (SpGEMM) is a sparse kernel that is used in a number of scientific applications. Although several SpGEMM algorithms have been proposed, almost all of them are restricted to the compressed sparse row (CSR) format, and ...
