41 citations · 124 across the 20 of their papers we have counts for
13 papers · 1 filter
DMRlib: Easy-coding and Efficient Resource Management for Job Malleability
Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí +1
Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource…
LOw-cOst yet High-Performant Sparse Matrix-Matrix Multiplication on Arm SME Architectures
Kelun Lei, Hailong Yang, Kaige Zhang +8
Sparse matrix-dense matrix multiplication (SpMM) is a critical kernel in both scientific computing and emerging graph learning workloads. The recent Armv9 architecture introduces S…
Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning
Jie Lei, Enrique S. Quintana-Ortí
This paper investigates the design of parallel general matrix multiplication (GEMM) for a Versal Adaptive Compute Accelerated Platform (ACAP) equipped with a VC1902 system-on-chip…
Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors
Andres E. Tomas, Enrique S. Quintana-Orti, Hartwig Anzt
We investigate the solution of low-rank matrix approximation problems using the truncated SVD. For this purpose, we develop and optimize GPU implementations for the randomized SVD…
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt +33
This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by a…
DMR API: Improving cluster productivity by turning applications into malleable
Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti +2
Adaptive workloads can change on--the--fly the configuration of their jobs, in terms of number of processes. In order to carry out these job reconfigurations, we have designed a me…