The multi-GPU sparse matrix library reduces energy consumption and time-to-solution by optimizing computations and minimizing data movement, outperforming comparable frameworks on benchmarks.
A survey of power and energy efficient techniques for high performance numerical linear algebra operations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On the energy efficiency of sparse matrix computations on multi-GPU clusters
The multi-GPU sparse matrix library reduces energy consumption and time-to-solution by optimizing computations and minimizing data movement, outperforming comparable frameworks on benchmarks.