Begin forwarded message:From: "SLICE Administration" (via eecs-announce Mailing List) <eecs-a...@lists.eecs.berkeley.edu>Subject: [eecs-announce] Talk by Scott Beamer (UCSC) at SLICE Lab on Wed., 9/25/24 at 11:05 A.M., Room 380 SodaDate: 23. September 2024 at 10:00:00 GMT-7To: undisclosed-recipients:;Reply-To: SLICE Administration <slice...@eecs.berkeley.edu>----------------------------------------------------------------Hi All,SLICE Lab is welcoming Scott Beamer (UC Santa Cruz) this Wednesday, 9/25/24 at 11:05 a.m.in 380 Soda or via Zoom.When: Wed., 9/25/24 at 11:05 a.m.Where: 380 Soda or ZoomSpeaker: Scott Beamer, UC Santa CuzTitle: Accelerating RTL Simulation with a Vertically-Integrated Approach
Abstract: Simulation is a critical tool for hardware design but its current slow speed often bottlenecks the entire design process. Simulation speed becomes even more crucial for agile and open-source hardware design methodologies, because the designers not only want to iterate on designs quicker, but they may also have less resources with which to simulate them.In this work, we survey our various techniques for accelerating hardware (RTL) simulation. We explore the challenge of efficiently detecting opportunities for reuse due to low activity factors, and we demonstrate streamlined techniques to profitably exploit them. We take advantage of the replication that is common in large designs to increase scalability. We parallelize simulation for multicore and achieve super-linear speedups. Throughout our work, we leverage insights about both the application workload and the host platform. Many of our innovations are enabled by novel graph partitioning algorithms or optimizations for the host processor. Our simulators outperform both leading open-source and industrial simulators, and we use performance counters to analyze our performance advantages.
Bio: Scott Beamer is an assistant professor of Computer Science & Engineering at the University of California, Santa Cruz where he leads the Vertical Architectures, Memory, and Algorithms (VAMA) research group. His research interests include agile hardware design, high-performance graph processing, and computer architecture. His work has been recognized with an NSF CAREER Award, the Kaivalya Dixit Distinguished Dissertation Award from SPEC, best paper awards from the International Parallel & Distributed Processing Symposium (IPDPS) and the International Symposium on Workload Characterization (IISWC), and a distinguished paper award from International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). He earned all of his degrees (PhD, MS, BS) from UC Berkeley and was a postdoctoral scholar at Lawrence Berkeley National Laboratory.
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