4 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS
Rahulkumar Gayatri, Stan Moore, Evan Weinberg +5
The exascale race is at an end with the announcement of the Aurora and Frontier machines. This next generation of supercomputers utilize diverse hardware architectures to achieve t…
Transparency Tools for Fairness in AI (Luskin)
Mingliang Chen, Aria Shahverdi, Sarah Anderson +5
We propose new tools for policy-makers to use when assessing and correcting fairness and bias in AI algorithms. The three tools are: - A new definition of fairness called "controll…