This paper provides the first comprehensive study on the impact of sparse matrix representations on two emerging many-core architectures: the Intel's Knights ...
This paper provides the first comprehensive study on the impact of sparse matrix representations on two emerging many-core architectures: the Intel's ...
This paper presents adaptive optimization of Sparse Matrix-Vector Multiplication on two emerging many-core architectures. Download paper here. Recommended ...
Sep 11, 2024 · This paper provides the first comprehensive study on the impact of sparse matrix representations on two emerging many-core architectures: the ...
Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures ; Type. Conference paper ; Publication. The 20th IEEE ...
We present several optimization strategies especially effective for the multicore environment, and demonstrate significant performance improvements compared to ...
This work examines sparse matrix-vector multiply (SpMV) - one of the most heavily used kernels in scientific computing - across a broad spectrum of ...
This paper presents a new hybrid storage format for sparse matrices, specifically targeting multi-core CPUs with SIMDs.
Nov 15, 2017 · Abstract—This paper presents a low-overhead optimizer for the ubiquitous sparse matrix-vector multiplication (SpMV) ker- nel. Architectural ...
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In this paper, we propose an efficient data structure named AdELL+ for optimizing the SpMV kernel on GPUs, focusing on performance bottlenecks of sparse ...
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