Chester Gordon Bell

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Chester Gordon Bell Born August 19, 1934, Kirksville, Mo.; DEC designer of the PDP line of computers; with wife Gwen, founder of the Computer Museum, Boston. Education: BSEE, MIT, 1956; MSEE, MIT, 1957. Professional Experience: research engineer, Research Laboratory for Electronics, MIT, 1959-1961; manager, computer design, Digital Equipment Corp. 1961-1966; associate professor of computer science: Carnegie-Mellon University, 1966-1978; professor, electrical engineering and computer science, 1978; senior consultant, Stardent Computers, Sunnyvale, Calif. Honors and Awards: Mellon Institute Award, Carnegie Mellon University, 1973; fellow, IEEE, 1974; IEEE W. Wallace McDowell Award, 1975; National Academy of Engineering, 1977; IEEE Computer Society Pioneer Award, 1980; ACM/IEEE Eckert/Mauchly Award, 1982; National Medal of Technology, 1991; IEEE John von Neumann Medal, 1992. Bell's citation for the award of the IEEE Fellowship reads: “For contributions to the design of time-sharing computer systems, and for education in the understanding of computer structures.” Bell designed the first minicomputers and time-sharing computers at Digital Equipment Corp., and led the development of the company's VAX minicomputers. His other achievements include start-ups at Encore Computer, where he was responsible for one of the first multiple microprocessors, and at Ardent Computer, where he built the first graphics supercomputer. A director of several companies and a cofounder of the Computer Museum in Boston, Bell has received many prizes. President George Bush awarded him the National Medal of Technology “for his continuing intellectual and industrial achievements in the field of computer design, and for his leading role in establishing cost-effective, powerful computers that serve as a significant tool for engineering, science, and industry.” BIBLIOGRAPHY Biographical Slater, Robert, Portraits in Silicon, MIT Press, Cambridge, Mass., 1987, Chapter 19. Significant Publications Bell, C. G., and A. Newell, Computer Structures: Readings and Examples, McGraw-Hill, New York, 1971. UPDATES Portrait inserted (MRW, 2012). .

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What We Learned from the PDP-11
ABSTRACT Gordon Bell, William Il. Strecker November 8, 1975 COMPUTER STRUCTURES: WHAT HAVE WE LEARNED FROM THE PDP-ll? Over the FDP-11’S six year life behave in a particular way? about 20,000 specimens have been Where does it get inputs? HOW built based on 10 species (models). does it formulate and solve Al though range was a design goal, problems? it was unquantified; the actual range has exceeded expectations 3. The rest of the DEC (5OO:l in memory size and system organization--this includes price]. The range has stressed the applications groups assoc ia ted baa ic mini (mall computer with market groups # sales, architecture along all dimensions. service and manufacturing. The marn PM.5 structure, i.e. the UNIBUS, has been adopted as a de 4. The user, who receives the facto standard of interconnection final OUtQUt. for many micro and minicomputer systems. The architectural Note, that if we assume that a experience gained in the design and QrOduc t is done sequentially, and use of the PDP-11 will be described each stage has a gestation time of in terms Of its environment about two years, it takes roughly (initial goals and constraints, eight years for an idea from basic technology, and the organization research to finally appear at the that designs, builds and user’s site. Other organizations distributes the machine). ala0 affect the design : competitors (they establish a deaign level and determine the product life): and government IsI 1.0 TNTRODUCTTON and standards. There are an ever increasing number Although one might think that of groups who feel compel led to computer architecture is the sole control all products bringing them determinant of a machine, it is all common norm : the merely the focal point for a government (“5) , testing groups such specification.
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Gordon's Personal View of Personal Computing: Before the PC
Gordon’s Personal View of Personal Computing: before the PC Vintage Computer Society 27 September 1998 Gordon Bell [email protected] http://www.research.microsoft.com/~gbell Apple II First personal computer Micral In the beginning: Manchester “Baby” ran the first program 22 June 1948 English Electric Deuce Console 1955 Whirlwind c1953 … 1st generation, 16-bit word; 4 KB memory; 8 K drum Whirlwind begot TX-O/TX-2 begot DEC PDP-1 Real time, first compiler, ECAD, text editor Whirlwind console, drum, 1 Kw core SAGE Control Room c 1962. Whirlwind used for first experiments. SAGE (Semi-Automatic Ground Environment) Operator Console TX-0 Console c1959… one of the first transistorized personal computers Speech, handwriting recognition, neuro data analysis, etc. Interactive editors, debuggers, etc. MIT Speech group with TX-0, c1959. DEC Computer before PDP-11 1957 1961 1963 DEC PDP-1 c1961 Wes Clark & LINC c1962: Personal computers for bio-medical research PDP-5 c1964: PDP-8 predecessor Process control, real time experiments. Fortran ran in 4 K, 12 bit words Gbell with LINC and PDP-8 c1965 PDP-8: first mini First OEM computer. OS/8 (from timesharing) begot RT-11 begot CPM PDP-8 Modules PDP-8/E PDP-8 and Linc Family Tree PDP-8 12 bit word price (t) PDP-8 prices (t) Timesharing: given everyone their own, low cost, personal computer PDP-6 c1965 : First commercial time shared computer. Gbell & Alan Kotok PDP-6 Development team c1965 PDP-6/10/ DECsystem 10/20 family tree TThheerree iiss nnoo rreeaassoonn aannyyoonnee wwoouulldd wwaanntt aa ccoommppuutteerr iinn tthheeiirr hhoommee.
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Thesis May Never Have Been Completed
UvA-DARE (Digital Academic Repository) Digital Equipment Corporation (DEC): A case study of indecision, innovation and company failure Goodwin, D.T. Publication date 2016 Document Version Final published version Link to publication Citation for published version (APA): Goodwin, D. T. (2016). Digital Equipment Corporation (DEC): A case study of indecision, innovation and company failure. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:26 Sep 2021 Digital Equipment Corporation (DEC) (DEC) Corporation Digital Equipment David Thomas David Goodwin Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure David Thomas Goodwin Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure David Thomas Goodwin 1 Digital Equipment Corporation (DEC): A Case Study of Indecision, Innovation and Company Failure ACADEMISCH PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam op gezag van de Rector Magnificus prof.
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Bell's Law of Computer Classes
Bell’s Law; P,M,S Structures; Rules of thumb; and Taxonomies 1957-1998. 41 yrs. 4 generations: Tubes > transistors > ICs, VLSI (micros) > clusters - winner take all How computer classes form, evolve …and die (according to economically based laws) Gordon Bell Microsoft Research, Silicon Valley Laboratory References Moore’s Law http://www.computerhistory.org/semiconductor/timeline/1965-Moore.html Bell’s Law: http://research.microsoft.com/research/pubs/view.aspx?0rc=p&type=technical +report&id=1389 Bell, C. G., R. Chen and S. Rege, "The Effect of Technology on Near Term Computer Structures," Computer 2 (5) 29-38 (March/April 1972). IEEE History Center's Global History Network: http://ieeeghn.org/wiki/index.php/STARS:Rise_and_Fall_of_Minicomputers In retrospect…by 1971, the next 50 years of computing was established 1. Moore’s Law (1965) transistors/die double every 18 mos. 2. Intel 4004, Processor-on-a-chip (1971) Clearly, by 1978 16-bit processor-on-a-chip 3. Bell et al 1971 observation...computer evolution 1. Computers evolve at constant price (Moore’s Law) 2. Computer clases form every decade (Bell’s Law) New technology, manufacturers, uses and markets How I think about computers • P,M,S describes architectures i.e. the components and how they are interconnected and interact – Reveals structure (size, cost, performance, power, etc.) – Parallelism, bottlenecks, and rules of thumb – Functional evolution to compete with larger computers • Bell’s Law determines classes birth & death • Rules of thumb determine goodness • Taxonomies enumerate alternatives A Walk-Through Computer Architectures from The Largest & Fastest to the Digestible Computers have evolved from a bi-furcation of: • calculating (P) aka scientific and record keeping (M) aka commerce to • control (K), • interfacing (T/Transduction) including GUIs, NUI, and • Communication (L), switching (S) and networking (N) Every information carrier from greeting cards to phones is an embedded computer.
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Oral History Interview with Joseph F. Traub
An Interview with JOSEPH F. TRAUB OH 94 Conducted by William Aspray on 29 March 1985 Columbia University (New York, NY) Charles Babbage Institute The Center for the History of Information Processing University of Minnesota, Minneapolis Copyright, Charles Babbage Institute 1 Joseph F. Traub Interview 29 March 1985 Abstract The main topic is institutions in computing. Traub begins by discussing why computer science has developed as a discipline at some institutions but not others. Institutions that are highlighted include Stanford, Berkeley, University of Pennsylvania, MIT, and Carnegie-Mellon. Traub discusses his experiences as chairman of the computer science departments at Carnegie-Mellon and later Columbia. Other topics include: industrial and government funding of computer science departments (in particular the role of the Advanced Research Projects Agency of the Defense Department); the relationships between academic centers, such as M.I.T., Stanford, Columbia, and Carnegie-Mellon; and the importance of educational institutions to regional centers of industrial computing. At the end of the interview Traub returns to a topic of his earlier interviews, his experiences at Bell and Watson Laboratories. 2 JOSEPH F. TRAUB INTERVIEW DATE: 29 March 1985 INTERVIEWER: William Aspray LOCATION: Columbia University (New York, NY) ASPRAY: This is a session on the 29th of March, 1985, with Joseph Traub in his office at Columbia University. It is the third in a series of interviews, and the main topic in this session is institutions in computing. Why don't we start by talking about why certain universities - Pennsylvania, Harvard, Columbia, which had strong early activities in computing - didn't develop into first-rate research and teaching centers in computer science? TRAUB: It seems to me that in each of the institutions, that have become the major centers one can usually identify one or two people who were responsible.
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Computing History: a Personal and Industry View
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Oral History of Gordon Bell
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ALLEN NEWELL March 19, 1927–July 19, 1992
NATIONAL ACADEMY OF SCIENCES A L L E N N E W ELL 1927—1992 A Biographical Memoir by HER BE R T A. S IMON Any opinions expressed in this memoir are those of the author(s) and do not necessarily reflect the views of the National Academy of Sciences. Biographical Memoir COPYRIGHT 1997 NATIONAL ACADEMIES PRESS WASHINGTON D.C. ALLEN NEWELL March 19, 1927–July 19, 1992 BY HERBERT A. SIMON ITH THE DEATH from cancer on July 19, 1992, of Allen WNewell the field of artificial intelligence lost one of its premier scientists, who was at the forefront of the field from its first stirrings to the time of his death and whose research momentum had not shown the slightest diminu- tion up to the premature end of his career. The history of his scientific work is partly my history also, during forty years of friendship and nearly twenty of collaboration, as well as the history of the late J. C. (Cliff) Shaw, a longtime colleague; but I will strive to make this account Allen-cen- tric and not intrude myself too far into it. I hope I will be pardoned if I occasionally fail.1 If you asked Allen Newell what he was, he would say, “I am a scientist.” He played that role almost every waking hour of every day of his adult life. How would he have answered the question, “What kind of scientist?” We hu- mans have long been obsessed with four great questions: the nature of matter, the origins of the universe, the nature of life, the workings of mind.
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Computational Database Systems for Massive Scientific Datasets
Computational Database Systems for Massive Scientific Datasets David O’Hallaron, Anastassia Ailamaki, and Gregory Ganger Carnegie Mellon University Pittsburgh, PA 15213 (This page will not be included in the submitted version) March 1, 2004 Proposal submitted to the National Science Foundation Directorate for Computer and Information Sciences and Engineering, SEIII Program Announcement (NSF 04-528), Division of Information and Intelligent Systems (IIS), Science and Engineering Informatics Cluster, -1 Part A Project Summary We propose to push the frontiers of scientists’ ability to explore and understand massive scientific datasets by devel- oping a new approach called computational database systems. The idea is to integrate scientific datasets stored as spatial databases with specialized, tightly-coupled, and highly-optimized functions that query and manipulate these databases. Doing so will simultaneously simplify domain-specific programming (since datasets are now in a form that can be queried generally) and greatly increase the scale of problems that can be studied efficiently (since the complete dataset no longer needs to fit into memory). Many scientific problems are constrained by the complexity of manipulating massive datasets. Recently, for example, a group of us at Carnegie Mellon received the Gordon Bell Prize for producing and simulating the largest unstructured finite element model ever. The model simulates ground motion during an earthquake in the Los Angeles basin across a mesh with over 1B nodes and elements. Although exciting, this achievement came with some painful lessons about the shortcomings of our current capabilities of dealing with massive datasets. In particular, the dataset that we generated for the Gordon Bell Prize has limited scientific value because it is too large to be queried and explored effectively, requiring heroic efforts just to extract a few waveforms for publication.
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Larry Portner, Bob Puffer. Andy Knowles Was Important, Particularly in the Way We Worked, There Was Enormous Stress Between Marketing and Engineering
DEC -- Gordon Bell, 6/28/91 EDITED AND APPROVED Tape 1, Page 1 GB: Probably you want [to get on tape] Larry Portner, Bob Puffer. Andy Knowles was important, particularly in the way we worked, there was enormous stress between marketing and engineering. The more you can try to center it into the different activities, the better off it is. Because it's a complex story, and you want to try to keep it that way and then talk about the interactions between the various forces. There is a way of doing it a little bit chronologically, too. When Glenn Rifkin approached me about his book he had an outline. He wanted to come interview. I said, "Vo, don't do that. I'd like to think a lot more about this. Why don't you give me every question you want and I will answer the questions and think about them in that context." I did that. He had an outline and I gave him comments on it, how I would organize it. There's a lot of stuff in here, essentially a lot of stories. As we go through the questions I'll try to remember it. He came back after that several times. [BELL HANDS OVER 20+ PAGES OF NOTES HE WROTE FOR RIFKIN'S BOOK.] I talked to Henry Burckhardt the other day, and I was out talking to Dave Cutler. Henry said, "Well, it turns aut it takes eight years to get it out of your system. You're just able to be calm about it now." So it's been roughly eight years, and eight days now since I left.
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PDP-8 - Wikipedia, the Free Encyclopedia 1/22/12 1:06 PM PDP-8 from Wikipedia, the Free Encyclopedia (Redirected from Pdp8)
PDP-8 - Wikipedia, the free encyclopedia 1/22/12 1:06 PM PDP-8 From Wikipedia, the free encyclopedia (Redirected from Pdp8) The 12-bit PDP-8 was the first successful commercial minicomputer, produced by Digital Equipment Corporation (DEC) in the 1960s. DEC introduced it on 22 March 1965, and sold more than 50,000 systems, the most of any computer up to that date.[1] It was the first widely sold computer in the DEC PDP series of computers (the PDP-5 was not originally intended to be a general-purpose computer). The chief engineer who designed the initial version of the PDP-8 was Edson de Castro, who later founded Data General.[2] The earliest PDP-8 model (informally known as a "Straight-8") used diode-transistor logic, packaged on flip chip cards, and was about the size of a minibar-fridge. This was followed by the PDP-8/S, available in desktop and rack-mount models. By using a one-bit serial ALU implementation, the PDP-8/S was smaller, less expensive, but vastly slower than the original PDP-8. The only mass storage peripheral available for the PDP-8/S was the A PDP-8 on display at the DF32 disk. Smithsonian's National Museum of American History in Washington, Later systems (the PDP-8/I and /L, the PDP-8/E, /F, and /M, and the D.C.. This example is from the first PDP-8/A) returned to a faster, fully parallel implementation but used generation of PDP-8s, built with much less-expensive TTL MSI logic.
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ETHERNET and the FIFTH GENERATION Gordon Bell Vice
THE ENGINEERING OF THE VAX-11 COMPUTING ENVIRONMENT The VAX-11 architectural design and implementation began in 1975 with the goals of a wide range of system sizes and different styles of use. While much of the implementation has been "as planned", various nodes (eg. computers, disk servers) and combined structures (eg. clusters) have evolved in response to the technology forces, user requirements and constraints. The future offers even more possibilities for interesting structures. ETHERNET AND THE FIFTH GENERATION Gordon Bell Vice President, Engineering Digital Equipment Corporation In the Fifth Computer Generation, a wide variety of computers will communicate with one another. No one argues about this. The concern is about how to do it and what form the computers will take. A standard communications language is the key. I believe Ethernet is this unifying key to the 5th computer generation because it interconnects all sizes and types of computers in a passive, tightly-coupled, high performance fashion, permiting the formation of local-area networks. HOW THE JAPANESE HAVE CONVERTED WORLD INDUSTRY INTO DISTRIBUTORSHIPS -- CONCERN NOW FOR SEMICONDUCTORS AND COMPUTERS Gordon Bell Vice President Digital Equipment Corporation Abstract We all must be impressed with the intense drive, technical and manufacturing ability of the Japanese. As an island with few natural resources, and only very bright, hard working people they have set about and accomplished the market domination of virtually all manufactured consumer goods and the components and processes to make these goods (i.e., vertical integration). Currently the U.S. has a dominant position in computers and semiconductors. However, there's no fundamental reason why the Japanese won't attain a basic goal to dominate these industries, given their history in other areas and helped by our governments.
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