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Distinguished Lecture in Computer Science - Cliff Young

Cliff Young, Ph.D. is a member of the Google Brain team, whose mission is to develop deep learning technologies and deploy them throughout Google.  He is one of the designers of Google’s Tensor Processing Unit (TPU), which is used in production applications including Search, Maps, Photos, and Translate. TPUs also powered AlphaGo’s historic 4-1 victory over Go champion Lee Sedol. Before joining Google, Cliff worked at D. E. Shaw Research, building special-purpose supercomputers for molecular dynamics, and at Bell Labs.  His research areas include Hardware and Architecture, Machine Intelligence and Software Systems.

SYMPOSIUM - 11 a.m.
IN-DATA CENTER PERFORMANCE ANALYSIS OF A TENSOR PROCESSING UNIT

With the ending of Moore’s Law, many computer architects believe that major improvements in cost-energy performance must now come from domain-specific hardware. The Tensor Processing Unit (TPU), deployed in Google datacenters since 2015, is a custom chip that accelerates deep neural networks (DNNs). We compare the TPU to contemporary server-class CPUs and GPUs deployed in the same datacenters.  Our benchmark workload, written using the high-level TensorFlow framework, uses production DNN applications that represent 95% of our datacenters’ DNN demand. The TPU is an order of magnitude faster than contemporary CPUs and GPUs and its relative performance per Watt is even larger. The TPU’s deterministic execution model turns out to be a better match to the response-time requirement of our DNN applications than are the time-varying optimizations of CPUs and GPUs (caches, out-of-order execution, multithreading,
multiprocessing, prefetching, …) that help average throughput more than guaranteed latency. The lack of such features also helps explain why despite having myriad arithmetic units and a big memory, the TPU is relatively small and low power.

Check-in and refreshments 30 minutes before each lecture.

All events are free and open to the public.

PARKING OPTIONS:
• Visitors can purchase a half ($3) or full day ($5) permit from Parking Services, located at 605 17th St. North, in the parking ramp.
• Visitors can also use the new pay stations, any commuter lot, as well as the first level of the parking ramp. (pay-byphone app also available with these stations)
• Parking information, parking map and a link to purchase permits can be found online at www.uwlax.edu/parking.

When

Past occurrences (1)

  • 11 a.m. to noon Friday, Nov. 10, 2017

Where

Stzrelczyk Great Hall, Cleary Alumni & Friends Center

UWL campus map for building location and nearby parking lots.

University of Wisconsin-La Crosse Stzrelczyk Great Hall, Cleary Alumni %26 Friends Center

Contact

For questions about this event or to request disability accommodations , contact Becky Yoshizumi at 608.785.6805 or compsci@uwlax.edu.

Parking

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Use Passport Parking.

Additional parking info
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