Computer Organization and Design: The Hardware Software Interface David A Patterson, John L. Hennessy
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David A. Patterson is the Pardee Chair of Computer Science, Emeritus at the University of California Berkeley. 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.
Computer Organization and Design: The Hardware/Software Interface
Like his co-author, 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. President, as chair of the CS division in the Berkeley EECS department, as chair of the Computing Research Association, and as President of ACM. Shafi, with Micali (and later Rackoff) [6], had been thinking for a while about expanding the traditional notion of “proof” to an interactive process in which a "prover" can convince a probabilistic "verifier" of the correctness of a mathematical proposition with overwhelming probability if and only if the proposition is correct. They called this interactive process an "interactive proof" (a name suggested by Mike Sipser).
Summary Computer Organization and Design, Fifth Edition The HardwareSoftware Interface by Hennessy ...
It covers the revolutionary change from sequential to parallel computing, with a chapter on parallelism and sections in every chapter highlighting parallel hardware and software topics. It includes an appendix by the Chief Scientist and the Director of Architecture of NVIDIA covering the emergence and importance of the modern GPU, describing in detail for the first time the highly parallel, highly multithreaded multiprocessor optimized for visual computing. A companion CD provides a toolkit of simulators and compilers along with tutorials for using them, as well as advanced content for further study and a search utility for finding content on the CD and in the printed text.
John L. Hennessy
Because MyLife only collects this data and does not create it, we cannot fully guarantee its accuracy. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Shafi then started asking a number of questions concerning what kinds of security can be achieved without computational complexity assumptions. This led to a model for multi-party computation where, instead of an assumption, one changes the physical model so that every pair of parties has a secure channel between them. Shafi, with Michael Ben-Or and Avi Wigderson, showed [8] that with sufficiently many honest parties, function evaluation in this setting can be done securely.
Computer organization and design : the hardware/software interface
T e ASPIRE Lab uses deep hardware and sof ware co-tuning to achieve thehighest possible performance and energy ef ciency for mobile and rack computingsystems.J ohn L. Hennessy is the tenth president of Stanford University, where he has beena member of the faculty since 1977 in the departments of electrical engineering andcomputer science. He has also receivedseven honorary doctorates.I n 1981, he started the MIPS project at Stanford with a handful of graduate students.Af er completing the project in 1984, he took a leave from the university to cofoundMIPS Computer Systems (now MIPS Technologies), which developed one of the f rstcommercial RISC microprocessors. As of 2006, over 2 billion MIPS microprocessors havebeen shipped in devices ranging from video games and palmtop computers to laser printersand network switches.
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In recent work [18] with Tauman Kalai, Vinod Vaikuntanathan, Raluca Ada Popa, and Nickolai Zeldovich on “functional encryption,” Shafi introduced yet another new paradigm for general function obfuscation called “token-based obfuscation." Interactive proofs also play a major role in her recent research about how a user can delegate computation to a very fast but untrusted “cloud” computer. Shafi, with Yael Tauman Kalai and Guy Rothblum, introduced [15] one practical formulation of this question, and showed how to efficiently delegate the computation of small-depth functions. With Mihir Bellare, Carsten Lund and Alexander Russell, Shafi produced [11] one of the first works showing how to fine-tune some of the PCP parameters, leading to improved results on hardness of approximation. One computational problem, which quantum computers have not to date been able to attack and on which public-key cryptography can be based, is approximating the shortest vector size in an integer lattice.
Eckert-Mauchly Award
Patterson has been teaching computer architecture at the University ofCalifornia, Berkeley, since joining the faculty in 1977, where he holds the Pardee Chairof Computer Science. His teaching has been honored by the Distinguished TeachingAward from the University of California, the Karlstrom Award from ACM, and theMulligan Education Medal and Undergraduate Teaching Award from IEEE. Pattersonreceived the IEEE Technical Achievement Award and the ACM Eckert-Mauchly Awardfor contributions to RISC, and he shared the IEEE Johnson Information Storage Awardfor contributions to RAID.
Computer Organization and Design MIPS Edition
8 great ideas in computer architecture - Knovel
8 great ideas in computer architecture.
Posted: Wed, 21 May 2014 07:00:00 GMT [source]
On the algorithmic side, with Goldreich and Dana Ron, Shafi introduced the subject of “property testing” for combinatorial properties [13]. Given an object (such as a graph) for which either a given property holds or the object is far from any other object for which the property holds, we want to (probabilistically) determine which is the case by examining the object in only a small number of locations. In [13] property-testers are devised which need to examine only a constant number of edges in a graph for several NP-complete properties such as 3-coloring, max-cut, and other graph partition problems..
We can't explain all that development here, so we will cut to Shafi's next big contribution. As with previous editions, a MIPs processor is the core used to present the fundamentals of hardware technologies at work in a computer system. The book presents an entire MIPS instruction set—instruction by instruction—the fundamentals of assembly language, computer arithmetic, pipelining, memory hierarchies and I/O. Shafi, with Feige, Lovasz, Safra and Szegedy, by examining the power of multi-prover proofs, discovered [10] that the existence of these proofs (with certain parameters) implies a hardness of approximation result for certain NP-complete languages.
They wondered if one could prove some non-trivial statement (for example, membership of a string in a hard language) without giving away any knowledge whatsoever about why it was true. They defined that the verifier receives no knowledge from the prover if the verifier could simulate on his own the probability distribution that he obtains in interacting with the prover.The idea that “no knowledge” means simulatability was a very important contribution. They also gave the first example of these “zero knowledge interactive proofs” using quadratic residuosity. ACM named John L. Hennessy a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. 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.
The construction uses a form of algebraic “verifiable secret sharing”, a variant on an idea first proposed [2] by Goldwasser, Baruch Awerbuch, Benny Chor, and Micali. The first problem Shafi began working on with Micali was how to hide partial information in “mental poker”. Their solution [1] was an essentially perfect way of encrypting a single bit (against a computationally limited adversary), and they invented a “hybrid” technique to show that independently encrypting individual bits causes the whole message to be secure.
Shafi and Goldreich [12] showed an especially succinct interactive proof for this approximation problem, thus demonstrating it is unlikely to be NP-hard. Along with Silvio Micali, for transformative work that laid the complexity-theoretic foundations for the science of cryptography, and in the process pioneered new methods for efficient verification of mathematical proofs in complexity theory. This best selling text on computer organization has been thoroughly updated to reflect the newest technologies. Examples highlight the latest processor designs, benchmarking standards, languages and tools. MyLife aggregates publicly available information from government, social, and other sources, plus personal reviews written by others. This third-party data is then indexed through methods similar to those used by Google or Bing to create a listing.
Hennessy is a Fellow of the IEEE and ACM; amember of the National Academy of Engineering, the National Academy of Science,and the American Philosophical Society; and a Fellow of the American Academy ofArts and Sciences. Shafi Goldwasser has made fundamental contributions to cryptography, computational complexity, computational number theory and probabilistic algorithms. Her career includes many landmark papers which have initiated entire subfields of computer science. ACM named David A. Patterson a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry.
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