교수소개

Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support

Hardware transactional memory (HTM) is widely supported by commodity processors. While the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still remains unexplored to quantify the performance and energy efficiency of HTM for scientific workloads on large-scale NUMA systems, which have been increasingly adopted to high-performance computing.

Event

알림마당

UNIST 게놈산업기술센터 연구원 모집

□ 선발예정인원 및 지원자격 채용분야 담당업무 선발예정인원 지원자..

2019년 05월 20일