David A. Patterson is the Pardee Professor of Computer Science, Emeritus at the
University of California at Berkeley, which he joined aer graduating from UCLA in
1977. His teaching has been honored by the Distinguished Teaching Award from the
University of California, the Karlstrom Award from ACM, and the Mulligan Education
Medal and Undergraduate Teaching Award from IEEE. Patterson received the IEEE
Technical Achievement Award and the ACM Eckert-Mauchly Award for contributions
to RISC, and he shared the IEEE Johnson Information Storage Award for contributions
to RAID. He also shared the IEEE John von Neumann Medal and the C & C Prize
with John Hennessy. Like his coauthor, Patterson is a Fellow of the American Academy
of Arts and Sciences, the Computer History Museum, ACM, and IEEE, and he was
elected to the National Academy of Engineering, the National Academy of Sciences,
and the Silicon Valley Engineering Hall of Fame. He served on the Information
Technology Advisory Committee to the US President, as chair of the CS division in the
Berkeley EECS department, as chair of the Computing Research Association, and as
President of ACM. is record led to Distinguished Service Awards from ACM, CRA,
and SIGARCH.
At Berkeley, Patterson led the design and implementation of RISC I, likely the rst
VLSI reduced instruction set computer, and the foundation of the commercial SPARC
architecture. He was a leader of the Redundant Arrays of Inexpensive Disks (RAID) project,
which led to dependable storage systems from many companies. He was also involved in the
Network of Workstations (NOW) project, which led to cluster technology used by Internet
companies and later to cloud computing. ese projects earned four dissertation awards
from ACM. His current research projects are Algorithm-Machine-People and Algorithms
and Specializers for Provably Optimal Implementations with Resilience and Eciency. e
AMP Lab is developing scalable machine learning algorithms, warehouse-scale-computer-
friendly programming models, and crowd-sourcing tools to gain valuable insights quickly
from big data in the cloud. e ASPIRE Lab uses deep hardware and soware co-tuning
to achieve the highest possible performance and energy eciency for mobile and rack
computing systems.
John L. Hennessy is a Professor of Electrical Engineering and Computer Science at
Stanford University, where he has been a member of the faculty since 1977 and was,
from 2000 to 2016, its tenth President. Hennessy is a Fellow of the IEEE and ACM; a
member of the National Academy of Engineering, the National Academy of Science,
and the American Philosophical Society; and a Fellow of the American Academy of
Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for
his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering
Award, and the 2000 John von Neumann Award, which he shared with David Patterson.
He has also received seven honorary doctorates.
In 1981, he started the MIPS project at Stanford with a handful of graduate students.
Aer completing the project in 1984, he took a leave from the university to cofound
MIPS Computer Systems (now MIPS Technologies), which developed one of the rst
commercial RISC microprocessors. As of 2006, over 2 billion MIPS microprocessors have
been shipped in devices ranging from video games and palmtop computers to laser printers
and network switches. Hennessy subsequently led the DASH (Director Architecture
for Shared Memory) project, which prototyped the rst scalable cache coherent
multiprocessor; many of the key ideas have been adopted in modern multiprocessors.
In addition to his technical activities and university responsibilities, he has continued to
work with numerous start-ups, both as an early-stage advisor and an investor.
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