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         Pipelining Computer Science:     more books (15)
  1. A Code Mapping Scheme for Dataflow Software Pipelining (The Springer International Series in Engineering and Computer Science) by Guang R. Gao, 1990-12-31
  2. Wave Pipelining: Theory and CMOS Implementation (The Springer International Series in Engineering and Computer Science) by C. Thomas Gray, Wentai Liu, et all 1993-11-30
  3. Compiling for dataflow software pipelining (Technical report / McGill University. School of Computer Science) by Guang R Gao, 1989
  4. University of California, Irvine. Dept. of Information and Computer Science. Technical report by Frederic M Tonge, 1978
  5. Specification and verification of pipelining in the ARM2 RISC microprocessor (Technical report / University of Michigan, Computer Science and Engineering ... Electrical Engineering and Computer Science) by James K Huggins, 1998
  6. Perfect pipelining: A new loop parallelization technique (Technical report. Cornell University. Dept. of Computer Science) by Alexander Aiken, 1987
  7. Pipelining techniques for vector reduction arithmetic (Technical report) by Lionel M Ni, 1983
  8. Computer Organization by Carl Hamacher, Zvonko Vranesic, et all 2001-08-02
  9. Fault-tolerance and two-level pipelining in VLSI systolic arrays by H. T Kung, 1983
  10. A study of instruction prefetching and pipelining of 8088/286/386 microprocessors (DISCS publication) by K. T Lua, 1988
  11. The force on the flex global parallelism and portability (SuDoc NAS 1.26:178161) by Harry F. Jordan, 1986
  12. Complexicty of Kronecker operations on sparse matrices with applications to the solution of Markov models (SuDoc NAS 1.26:206274) by NASA, 1997
  13. Parallelization of the pipelined Thomas algorithm (SuDoc NAS 1.26:208736) by A. Povitsky, 1998
  14. A parallel pipelined renderer for the time-varying volume data (SuDoc NAS 1.26:206275) by Tzi-cker Chiueh, 1997

1. Pipelining - Free Computer Science Tutorials - Provided By
Free tutorials and computer science help. Resource for computer tutorials.
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2. A Code Mapping Scheme For Dataflow Software Pipelining (Kluwer
A Code Mapping Scheme for Dataflow Software Pipelining (Kluwer International Series in Engineering and Computer Science, 125) by Gang R. Gao br
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

3. GetTextbooks.com - A Code Mapping Scheme For Dataflow Software
0 % A Code Mapping Scheme for Dataflow Software Pipelining (Kluwer International Series in Engineering and Computer Science, 125)
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

4. A Code Mapping Scheme For Dataflow Software Pipelining (Kluwer
A Code Mapping Scheme for Dataflow Software Pipelining (Kluwer International Series in Engineering and Computer Science, 125) by Gang R. Gao
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

5. Wave Pipelining Theory And Cmos Implementation (Kluwer
Search Options Wave Pipelining Theory and Cmos Implementation (Kluwer International Series in Engineering and Computer Science)
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

6. Wave Pipelining Theory And Cmos Implementation (Kluwer
Wave Pipelining Theory and Cmos Implementation (Kluwer International Series in Engineering and Computer Science, 248) Hotel Resource
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

7. Wave Pipelining Theory And Cmos Implementation (Kluwer
Wave Pipelining Theory and Cmos Implementation (Kluwer International Series in Engineering and Computer Science, 248) Edifying
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

8. USC Computer Science Department Technical Reports
USC COMPUTER SCIENCE DEPARTMENT A Pipelining Mechanism to Minimize the Latency Time in Hierarchical Multimedia Storage Managers
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

9. Carleton College Computer Science Course Information
programming, assembly languages, memory hierarchies, caches, RISC architectures and pipelining. Prerequisite Computer Science 127 or consent
http://tmsyn.wc.ask.com/r?t=an&s=hb&uid=24312681243126812&sid=343126

10. Pipelining - Free Computer Science Tutorials - Provided By Laynetworks.com
Free tutorials and computer science help. Resource for computer tutorials.
http://www.laynetworks.com/Pipelining.htm
Web laynetworks.com CS 01 CS 02 CS 03 CS 04 ... CS 17
Pipelining: Pipelining is sometimes compared to a manufacturing assembly line in which different parts of a product are being assembled at the same time although ultimately there may be some parts that have to be assembled before others are. Even if there is some sequential dependency, the overall process can take advantage of those operations that can proceed concurrently. Computer processor pipelining is sometimes divided into an instruction pipeline and an arithmetic pipeline. The instruction pipeline represents the stages in which an instruction is moved through the processor, including its being fetched, perhaps buffered, and then executed. The arithmetic pipeline represents the parts of an arithmetic operation that can be broken down and overlapped as they are performed.

11. USC Computer Science Department Technical Reports
Send problem reports comments to the USC computer science Tech Report Librarian 94584 compressed A pipelining Mechanism to Minimize the Latency Time
http://www.usc.edu/dept/cs/technical_reports.html
USC COMPUTER SCIENCE DEPARTMENT
Technical Reports
This following is a listing of all the technical reports published by the USC Computer Science Department. You can access them as either compressed or uncompressed postscript documents. If a report's link is not highlighted, then it is not available online. Related Information: Submission instructions for USC faculty and students.
Send to the USC Computer Science Tech Report Librarian Tech reports of affiliated centers and institutes: CSE Tech Reports
IRIS Tech Reports

ISI Tech Reports

00-736 compressed
Feature Matrices: A Model for Efficient and Anonymous Mining of Web Navigations
by Cyrus Shahabi, Farnoush Banaei-Kashani, Jabed Faruque, Adil Faisal
00-735 compressed
Pushing the Limits of Multicast in Ad Hoc Networks
by Katia Obraczka, Gene Tsudik, Kumar Viswanath
00-734 compressed
Multicast-based Architecture for IP Mobility: Simulation Analysis and Comparison with Basic Mobile IP
by Ahmed Helmy
00-733 compressed
Resiliency and Robustness of Alternative Shape-Based Image Retrieval Techniques
by Maytham Safar, Cyrus Shahabi and Chung-hao Tan

12. CS 61C Summer 2005 Machine Structures
721, pipelining 2 (ppt, pdf, 6up), P H Sec 6.4, 6.5, 6.6 The only prerequisiteis that you have taken computer science 61B, or at least have solid
http://www-inst.eecs.berkeley.edu/~cs61c/su05/

13. Computer Science Department
The master of science program in computer science offers students the opportunity Analysis and design of highperformance computer systems, pipelining
http://www.cs.aucegypt.edu/academics/MS_Program.jsp

14. Fine-grain Real-time Reconfigurable Pipelining - Author Bios
Conrad H. Ziesler Advanced computer Architecture Laboratory, Department ofElectrical Engineering and computer science, University of Michigan, Ann Arbor,
http://www.research.ibm.com/journal/rd/475/kimaut.html
Home My account Select a country Journals Home ... Contact Us Related link: IBM Microelectronics Volume 47, Number 5/6, 2003
Power-efficient computer technologies Table of contents: HTML PDF This article: HTML PDF
Fine-grain real-time reconfigurable pipelining - Author Bios
by S. Kim , C. H. Ziesler , and M. C. Papaefthymiou
Biographical sketches of authors
Suhwan Kim suhwan@us.ibm.com Conrad H. Ziesler Advanced Computer Architecture Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109 ( cziesler@eecs.umich.edu Mr. Ziesler received the B.S. degree in electrical engineering in 1999 from the California Institute of Technology, Pasadena, and the M.S. degree in electrical engineering and computer science in 2002 from the University of Michigan, Ann Arbor. He received First Prize in the VLSI Design Contest of the 32nd ACM/IEEE Design Automation Conference, and an NSF Graduate Research Honorable Mention. Mr. Ziesler is currently pursuing his Ph.D. at the University of Michigan, with research interests including energy-recovering circuits for low-energy and high-performance VLSI systems, as well as parallel architectures and algorithms for scientific computing. Marios C. Papaefthymiou

15. Computer Science 624
computer science 624. Advanced Topics in computer Architecture About halfthe course would cover advanced pipelining techniques VLIW, superscalar,
http://www.cs.iastate.edu/~tyagi/624.html
Computer Science 624 Advanced Topics in Computer Architecture Spring Semester, 1998
    M W F, 2:10 - 3:00 pm, 217 Atanasoff
Instructor Assignments List of Projects
  • Suggested Projects
  • Check this list often as it is being updated. Please contact me ASAP if you have thought about a project.
Course Description
    This course covers advanced trends in computer architecture. Here is an outline of topics to be covered in this course this semester. About half the course would cover advanced pipelining techniques: VLIW, superscalar, multiscalar, general scheduling methods and compiler techniques targeted towards instruction-level parallelism. We will also discuss counterflow pipeline, a different kind of pipeline proposed by Sproull and Sutherland. The rest of the course would be about newer architectures and technologies (most likely topics: reconfigurable computing and intelligent DRAM (IRAM) architectures).
Textbook
    D. J. L. Hennessy and A. Patterson

16. COMPUTER SCIENCE GRADUATE COURSE DESCRIPTIONS
computer science GRADUATE COURSE DESCRIPTIONS. Each course states the number ofsemester Advanced pipelining, cache and memory design techniques.
http://www.cs.iastate.edu/grad-info/courses.html
COMPUTER SCIENCE GRADUATE COURSE DESCRIPTIONS Each course states the number of semester credits assigned to the course, preceded in parentheses by the number of hours in class (contact hours) expected of the student. The first of the two contact-hour numbers indicates the number of lecture or recitation class hours per week for the semester. The second is the number of laboratory or studio hours required per week. Within each course description may be found one or more of the following letters: F. S. SS., indicating which term fall, spring, summer session of the academic year the course is offered. All 600 level Com S courses (excluding Com S 610) will be offered on an alternate year basis. A course number followed by a "DL" means the course is dual listed with the indicated course. Numerical Solution of Ordinary Differential Equations. (Math 507) (3-0) Cr. 3 F.SS. Prereq. 415, 465, or 481; knowledge of FORTRAN or C. One step methods for initial value problems, one-step methods for systems, multi-step methods, boundary-value problems. Examples using university computers. Computational Methods of Linear Algebra.

17. Computer Science-Course Catalog Bucknell University
computer science Major. Switching theory, processor design, pipelining, cacheand storage systems. Prerequisite CSCI 206 or permission of the
http://www.bucknell.edu/Academics/Course_Catalog/Course_Descriptions/Computer_Sc
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Computer Science
(CSCI)
Computer Science (CSCI) Professors : Maurice F. Aburdene, Gary Haggard (Chair) Associate Professors : Stephen M. Guattery, Daniel C. Hyde, Jerud J. Mead, Xiannong Meng, Patricia A.Wenner, Richard J. Zaccone Assistant Professors : Antonio Miranda (visiting), Luiz Felipe Perrone, Lea Wittie Students who wish to major in computer science may enroll in the bachelor of science in computer science and engineering curriculum, in the bachelor of science curriculum, or the bachelor of arts curriculum. The minor in computer science requires five computer science courses: CSCI 203, 204, 206, and two additional courses chosen from CSCI 208 or the 300-level computer science courses. 180. Introduction to a Microcomputer Environment (I and II; 3, 1) Topics include the history of computers, hardware, software, file organization, data communications, systems analysis and design, programming, and societal issues. Labs use an operating system, a wordprocessor, a spreadsheet, and a programming language. Not open to computer science majors or students who have taken CSCI 203, CSCI 204, or who are enrolled in the College of Engineering.

18. Computer Science - Arts & Sciences-Course Catalog Bucknell University
computer science Major Arts sciences. Switching theory, processor design,pipelining, cache and storage systems. Prerequisite CSCI 206 or
http://www.bucknell.edu/Academics/Course_Catalog/Computer_Science_AS.html
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Select one Prospective Student Alumni Visitors
Computer Science
(CSCI)
Computer Science (CSCI)
(College of Arts and Sciences)
Professors : Maurice F. Aburdene, Gary Haggard (Chair) Associate Professors : Stephen M. Guattery, Daniel C. Hyde, Jerud J. Mead, Xiannong Meng, Patricia A.Wenner, Richard J. Zaccone Assistant Professors : Antonio Miranda (visiting), Luiz Felipe Perrone, Lea Wittie Computer science programs stress the foundations of the experimental discipline. In each course, students solve programming problems whose solutions draw on capabilities learned in earlier courses. This problem solving guides the student toward a more complete understanding of the programming process. The programs give all the students particular expertise in the systems area of computer science. Students are prepared for lifelong learning in this rapidly evolving discipline. Typically graduates take entry-level positions in hardware and software systems application and design or continue their education at the graduate level.

19. COMP 206: Official Syllabus (UNC-CH Computer Science)
Basics notations, speedup, classification of pipelines; Instruction pipelining Department of computer science Campus Box 3175, Sitterson Hall
http://www.cs.unc.edu/Admin/Courses/descriptions/206.html
Search our Site ON THIS PAGE: Course Objectives Prerequisites Approach Typical Text ... Course Outline COMP 206: Computer Architecture and Implementation
(3 hours)
Syllabus approved April 1989; renamed 206 in Spring 1994;
syllabus revised April 1996
Course Objectives
Develop an understanding of the architecture and implementation of von Neumann computer systems. Understand the interdependence of architectural and implementation decisions through the detailed examination of one simple, complete computer. Prerequisites
COMP 120 and digital logic (PHYS 102) Approach
Study architecture by topics, using relevant portions of various real computers to illustrate each topic. Study implementation chiefly through the detailed examination of one simple, complete computer. Supplement the textbook with selected readings from the literature. Do not emphasize programming or hardware laboratory. Typical Text
Hennessy and Patterson, Computer Architecture: A Quantitative Approach (2nd edition), Chapters 1-6. Course Outline
Numbers in parentheses indicate approximate number of weeks
  • Basics of machine organization (review) (0.5)

20. Exploiting Pipelining To Relax Register-File Port Constraints Of Instruction-Set
Exploiting pipelining to Relax RegisterFile Port Constraints of Instruction-SetExtensions Glenn Reinman, Department of computer science, UCLA
http://www.casesconference.org/cases2005/advance.html
2005 International Conference on
Compilers, Architectures and Synthesis
of Embedded Systems (CASES’05) The Sir Francis Drake Hotel, San Francisco, CA, USA
Sept. 24 – Sept. 27, 2005 Advance Program Main Conference Program
Sunday, Sept. 25
 8:45 -  9:00 Welcome Tom Conte, Paolo Faraboschi
 9:00 – 10:00 Keynote Presentation Introduction: Paolo Faraboschi        How Compilers and Tools Differ for Embedded Systems. [abstract]  Michael Wolfe, STMicroelectronics 10:00 – 10:30 Coffee Break 10:30 - 12:30 Session 1: Hardware Specialization Session Chair: Eric Debes, Intel Exploiting Pipelining to Relax Register-File Port Constraints of Instruction-Set Extensions Laura Pozzi, Ecole Polytechnique Fédérale de Lausanne (EPFL)     Paolo Ienne, Ecole Polytechnique Fédérale de Lausanne (EPFL) Exploring the Design Space of LUT-based Transparent Accelerators     Sami Yehia, ARM Ltd.     Nathan T Clark, University of Michigan     Scott A Mahlke, University of Michigan     Krisztian Flautner, ARM Ltd. Automating Custom-Precision Function Evaluation for Embedded Processors     Ray C.C. Cheung, Imperial College London

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