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cs.DC2023
Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O
S. Isaac Geronimo Anderson, Daniel M. Dunlavy
We extend an existing approach for efficient use of shared mapped memory across Chapel and C++ for graph data stored as 1-D arrays to sparse tensor data stored using a combination…
cs.DC2023
Analyzing the Performance Portability of Tensor Decomposition
S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy +1
We employ pressure point analysis and roofline modeling to identify performance bottlenecks and determine an upper bound on the performance of the Canonical Polyadic Alternating Po…