Title: A New Golden Age for Computer Architecture
Speaker: Dave Patterson
Date: 08/29/2019
Abstract
In the 1980s, Mead and Conway democratized chip design and high-level language programming surpassed assembly language programming, which made instruction set advances viable. Innovations like Reduced Instruction Set Computers (RISC), superscalar, and speculation ushered in a Golden Age of computer architecture, when performance doubled every 18 months. The ending of Dennard Scaling and Moore’s Law crippled this path; microprocessor performance improved only 3% last year! In addition to poor performance gains of modern microprocessors, Spectre recently demonstrated timing attacks that leak information at high rates. The ending of Dennard scaling and Moore's law and the deceleration of performance gains for standard microprocessors are not problems that must be solved but facts that if accepted offer breathtaking opportunities. We believe high-level, domain-specific languages and architectures, freeing architects from the chains of proprietary instruction sets and the demand from the public for improved security will usher in a new Golden Age. Aided by open source ecosystems, agilely developed chips will convincingly demonstrate advances and thereby accelerate commercial adoption. The instruction set philosophy of the general-purpose processors in these chips will likely be RISC, which has stood the test of time. We envision the same rapid improvement as in the last Golden Age, but this time in cost, energy, and security as well as in performance. Like in the 1980s, the next decade will be exciting for computer architects in academia and in industry!
SPEAKER
Dave Patterson
Distinguished Engineer, Google; ACM A.M. Turing Award Laureate
David Patterson is a Berkeley CS Professor Emeritus, a Google Distinguished Engineer, and the RISC-V Foundation Vice-Chair. He received his BA, MS, and PhD degrees from UCLA. His Reduced Instruction Set Computer (RISC), Redundant Array of Inexpensive Disks (RAID), and Network of Workstation projects helped lead to multibillion-dollar industries. This work led to 40 awards for research, teaching, and service plus many papers and seven books. The best known book is Computer Architecture: A Quantitative Approach and the newest is The RISC-V Reader: An Open Architecture Atlas. In 2018 he and John Hennessy shared the ACM A.M Turing Award.
MODERATOR
Cliff Young
Software Engineer, Google Brain
Cliff Young is a software engineer in the Google Brain team, where he works on codesign for deep learning accelerators. 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. Previously, Cliff built special-purpose supercomputers for molecular dynamics at D. E. Shaw Research and worked at Bell Labs. Cliff holds AB, MS, and PhD degrees in computer science from Harvard University.
