Stony Brook College’s Arie Kaufman
Sept. 5, 2024, Stony Brook, NY — Arie Kaufman, distinguished professor within the Division of Pc Science at Stony Brook College, has been honored with the SC24 Take a look at of Time Award (TOTA) for supercomputing for his seminal 2004 paper, “GPU Cluster for Excessive Efficiency Computing.”
20 years in the past, Kaufman, together with Postdoc Suzanne Yoakum-Stover and PhD college students Zhe Fan and Feng Qiu, revolutionized excessive efficiency computing (HPC) with their groundbreaking analysis on GPU clusters. This pioneering work laid the muse for the intensive use of graphics processing items (GPUs) in clusters and supercomputers at this time, incomes this prestigious accolade.
“This distinguished recognition not solely honors the distinctive high quality and lasting impression of our analysis but in addition displays the dedication and innovation of our school,” mentioned Samir Das, professor and chair of the Department of Computer Science. “It highlights the modern and influential work that continues to form the way forward for computing and underscores our division’s dedication to advancing the sphere of laptop science. Congratulations to everybody concerned for this exceptional achievement and for setting such a excessive normal in our subject.”
Kaufman — who can also be chief scientist on the Center of Excellence in Wireless and Information Technology (CEWIT) — and his college students beforehand advocated for leveraging a single GPU — initially designed for graphics rendering — for normal computations; their 2004 paper was the primary to discover and validate the potential of GPU clusters for large-scale, high-performance computations. At present, GPUs are integral to clusters and supercomputers, driving developments in machine studying and synthetic intelligence (AI).
“This TOTA award represents a significant recognition for the powerhouse of the Middle for Visible Computing (CVC) in creating visionary and disruptive applied sciences,” mentioned Kaufman, who has directed CVC for practically three many years and led the SC04 paper analysis. “The paper is considered one of my two most cited papers and was a results of a decade of ardour for GPUs.”
