BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.5//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:88@escience.washington.edu DTSTART:20240509T003000Z DTEND:20240509T012000Z DTSTAMP:20240502T163944Z URL:https://escience.washington.edu/events/uw-data-science-seminar-ang-li/ SUMMARY:UW Data Science Seminar: Ang Li DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar event on Wedn esday\, May 8th from 4:30 to 5:20 p.m. PDT. The seminar will feature Ang L i\, Assistant Professor of Electrical and Computer Engineering at UW.\n\nT he seminar will be held in the Physics/Astronomy Auditorium (PAA)\, Room A 118 – campus map.\n\n"Tightly Integrated\, Programmable Hardware Accele ration"\n\nAbstract:\n\nThe slow-down of Moore's law and transistor perfor mance scaling have motivated specialized hardware accelerators that sacrif ice generality for higher performance and efficiency. Commodity accelerato rs (GPUs\, FPGAs\, etc.) that are attached to PCIe buses or connected over large networks have successfully accelerated several important applicatio ns such as artificial intelligence\, genome sequencing\, etc. However\, th e vast majority of applications cannot be easily accelerated with these sy stems due to the dynamic\, irregular control flows and data movements. Add ressing this challenge\, my research studies tightly integrated\, programm able accelerators that have very low communication overhead with the CPU p rocessors (i.e.\, system-on-chip). This enables a new computing paradigm c alled fine-grained acceleration\, which partitions an algorithm at functio n or loop body level\, executes each fragment on the most suitable process ing unit\, and minimizes the communication and orchestration overhead with novel hardware/software mechanisms.\n\n\n \;\n\n\n\nBiography:\n\nAng Li (he/his) is an Assistant Professor of Electrical and Computer Engineer ing at UW. He earned his B.Sc. in Electrical Engineering from Tsinghua Uni versity\, his M.A. in Electrical Engineering from Princeton University\, a nd his Ph.D. in Electrical and Computer Engineering from Princeton Univers ity. He directs the PN Computer Engineering Lab (PNCEL)\, which innovates from computing systems to semiconductor circuits and explores the interpla y between classic and emerging computing technologies.\n\nIn his doctoral research\, Dr. Li has developed a silicon-proven\, open-source\, FPGA rese arch and prototyping framework (PRGA) and studied tightly integrated\, man ycore-eFPGA\, system-on-chip (SoC) architectures. He has been a leading me mber in two multi-university teams who successfully taped out\, brought up \, and evaluated two silicon prototypes\, including a 2.2-billion-transist or\, Linux-capable\, fully cache-coherent\, manycore-accelerator-eFPGA SoC \, which is one of the biggest academic tape-outs to date.\n\n \;\nThe  UW Data Science Seminar is an annual lecture series at the University o f Washington that hosts scholars working across applied areas of data scie nce\, such as the sciences\, engineering\, humanities and arts along with methodological areas in data science\, such as computer science\, applied math and statistics. Our presenters come from all domain fields and includ e occasional external speakers from regional partners\, governmental agenc ies and industry.\n \; LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0 END:VEVENT END:VCALENDAR