3/29 【專題演講】Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads - Our insights after half a year of gem5 simulations

國網中心將邀請日本RIKEN理化學研究所Dr. Jens Domke至中心演講，
Dr. Jens Domke 目前是日本 RIKEN 計算科學中心 (R-CCS) 超級運算效能研究團隊的組長。
講題:「Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads -- Our insights after half a year of gem5 simulations」。
時間：2024/3/29(星期五) 下午13:30~15:00
地點：國網中心新竹本部2F圖書館

Dr. Jens Domke received his doctoral degree from the Technische Universität Dresden, Germany, in 2017 for his work on HPC routing algorithms and interconnects. Jens started his career in HPC in 2008, after he and a team of five students of the TU Dresden and Indiana University, won the Student Cluster Competition at SC08. Since then, he published dozens of peer-reviewed journal and conference articles. Jens contributed the DFSSSP and Nue routing algorithms to the subnet manager of InfiniBand, and built the first large-scale HyperX prototype at the Tokyo Institute of Technology. His research interests include system co-design, performance evaluation, extrapolation, and modelling, interconnect networks, and optimization of parallel applications and architectures.
【Abstract】
Over the last three decades, innovations in the memory subsystem were primarily targeted at overcoming the data movement bottleneck. In this talk, we focus on a specific market trend in memory technology: 3D-stacked memory and caches. We investigate the impact of extending the on-chip memory capabilities in future HPC-focused processors, particularly by 3D-stacked SRAM. First, we propose a method oblivious to the memory subsystem to gauge the upper-bound in performance improvements when data movement costs are eliminated. Then, using the gem5 simulator, we model two variants of LARC, a processor fabricated in 1.5 nm and enriched with high-capacity 3D-stacked cache.
With a volume of experiments involving a board set of proxy-applications and benchmarks, we aim to reveal where HPC CPU performance could be circa 2028.