Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin D. Schatz"'
Publikováno v:
SIAM Journal on Scientific Computing. 42:C245-C264
Multidimensional discrete Fourier transforms (DFTs) are typically decomposed into multiple one-dimensional (1D) transforms. Hence, parallel implementations of any multidimentional DFT focus on para...
Publikováno v:
2021 IEEE High Performance Extreme Computing Conference (HPEC).
Publikováno v:
SIAM Journal on Scientific Computing. 38:C748-C781
We expose a systematic approach for developing distributed-memory parallel matrix-matrix multiplication algorithms. The journey starts with a description of how matrices are distributed to meshes of nodes (e.g., MPI processes), relates these distribu
Large-scale datasets in computational chemistry typically require distributed-memory parallel methods to perform a special operation known as tensor contraction. Tensors are multidimensional arrays, and a tensor contraction is akin to matrix multipli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96e7594035a62d7800df614c37c08db
https://doi.org/10.2172/1222973
https://doi.org/10.2172/1222973
Symmetric tensor operations arise in a wide variety of computations. However, the benefits of exploiting symmetry in order to reduce storage and computation is in conflict with a desire to simplify memory access patterns. In this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55974dfa1f8b2588bcf88070af700985
http://arxiv.org/abs/1301.7744
http://arxiv.org/abs/1301.7744