3 papers
cs.DC2026
Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Ruimin Shi, Maya Gokhale, Pei-Hung Lin +2
The RISC-V Vector Extension~(RVV) is a cornerstone for supporting compute throughout in scientific and machine learning workloads. Yet compiler support and performance monitoring o…
cs.DC2026
High-performance Vector-length Agnostic Quantum Circuit Simulations on ARM Processors
Ruimin Shi, Gabin Schieffer, Pei-Hung Lin +3
ARM SVE and RISC-V RVV are emerging vector architectures in high-end processors that support vectorization of flexible vector length. In this work, we leverage an important workloa…
cs.DC2025
ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Ruimin Shi, Gabin Schieffer, Maya Gokhale +3
Vector architectures are essential for boosting computing throughput. ARM provides SVE as the next-generation length-agnostic vector extension beyond traditional fixed-length SIMD.…