41 citations · 124 across the 20 of their papers we have counts for
24 papers
Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation
Emmanuel Agullo, Hartwig Anzt, Daniel Bauer +37
Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accel…
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…
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge
Cristian Ramírez, Adrián Castelló, Héctor Martínez +1
The devices designed for the Internet-of-Things encompass a large variety of distinct processor architectures, forming a highly heterogeneous zoo. In order to tackle this, we emplo…
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…