41. Undergraduate Academics At Rensselaer Computer Science Experiment with the depth of the pipelining and analyze performance. build asimulation of a Extensions to a graphics package used in computer science I http://www.cs.rpi.edu/academics/undergrad/research.html

Recent Department News Upcoming events Site search: Admissions Academics Research People ... Graduate Institute Admissions: Undergraduate Graduate Colloquia Seminars ... Institute Computing No Menu Selected Academics Undergraduate Program Research Oppurtunities Rensselaer has a program called the Undergraduate Research Program (URP) to encourage undergraduates to get involved in the research of the faculty, either for pay or for course credit. Some students are even able to become co-authors of scientific papers. If you would like to find a URP project, look at our research and faculty web pages and then contact faculty in your area of interest to discuss possible projects. Return to main Undergraduate Program page General inquiries: info@cs.rpi.edu Technical issues: www@cs.rpi.edu RPI Home RPInfo 110 8th Street Troy, NY 12180-3590 setDefaultMenu( 'Academics' , 'Undergrad' );

42. Computer Science At Millersville University computer science at Millersville University Instructions. Arithmetic.The processor; datapath and control. pipelining and parallel processors. Memories. http://cs.millersv.edu/curriculum/courses/csci370.html

43. Department Of Computer Science The Department of computer science at the University of Chicago subsystems ofhigh performance computers pipelining, instruction level parallelism, http://www.cs.uchicago.edu/courses/description/CMSC/22200/9999-12-31

CMSC 22200 Computer Architecture Prerequisites: CMSC 15400 or 11700. Catalog Description: Survey of contemporary computer organization covering CPU design, instruction sets, control, processors, busses, ALU, memory, pipelined computers, multiprocessors, networking and case studies. We focus on the techniques of quantitative analysis and evaluation of modern computing systems, such as the selection of appropriate benchmarks to reveal and compare the performance of alternative design choices in system design. The emphasis is on the major component subsystems of high performance computers: pipelining, instruction level parallelism, memory hierarchies, input/output, and network-oriented interconnections. We may cover topics such as portable computers, high-performance parallel computers, graphics computers and performance modeling. Instructors: A. Rogers Quarter offered: Winter 2006, Autumn of odd-numbered years Last Verified by Sharon Salveter on 8 April, 2003. Course was retired on About Us Education People Research ... Login 1100 East 58th Street, Chicago, IL 60637 :: ph 773.702.6614 :: fax 773.702.8487

44. CS37 Spring 2003 computer science 37. Spring 2003. Chris Hawblitzel. Announcements. Syllabus Apr 28, Performance, pipelining, PH2 chapter 2, 6.1, slides http://www.cs.dartmouth.edu/~hawblitz/teach/cs37-03s/

Computer Science 37 Spring 2003 Chris Hawblitzel Announcements Syllabus Introduction, abstraction layers (PH2 chapter 1) Transistors, basic logic gates (PH2 appendix B) Combinational logic (no memory) (PH2 appendix B) Sequential logic (memory, clocks, transitions) (PH2 appendix B) Data representation (integers, ascii/unicode, floating point), arithmetic (PH2 chapter 4) Assembly language (PH2 chapter 3) Datapath and control implementation, performance (PH2 chapters 2, 5) Pipelining (PH2 chapter 6) Caching (PH2 chapter 7) Virtual memory (PH2 chapter 7) I/O (PH2 chapter 8) (If there's time) parallelism (PH2 chapter 9) Date Topic Suggested reading Handouts/supplements Mar 26 Introduction, materials and semiconductors Mar 28 Transistors, film: Silicon Run Lite Mar 31 Logic, boolean algebra PH2 B.1, B.2, B.3 (except for PLAs, ROMs) Apr 2 State PH2 B.4, B.5 intro,flip-flops,latches, B.6, B.7 Apr 4 State, Arithmetic, bit operations PH2 4.1, 4.2, 4.4 (except for assembly language stuff) handout Apr 7 Arithmetic, bit operations, graphics PH2 4.5, 4.6 thru p. 253, 4.8 thru p. 280 Apr 9 Floating point, characters, assembly language

45. CS37 Summer 2003 computer science 37. Summer 2003. Chris Hawblitzel. Announcements. Syllabus Jul 21, Performance, pipelining, PH2 chapter 2, 6.1, slides http://www.cs.dartmouth.edu/~hawblitz/teach/cs37-03x/

Computer Science 37 Summer 2003 Chris Hawblitzel Announcements Syllabus Introduction, abstraction layers (PH2 chapter 1) Transistors, basic logic gates (PH2 appendix B) Combinational logic (no memory) (PH2 appendix B) Sequential logic (memory, clocks, transitions) (PH2 appendix B) Data representation (integers, ascii/unicode, floating point), arithmetic (PH2 chapter 4) Assembly language (PH2 chapter 3) Datapath and control implementation, performance (PH2 chapters 2, 5) Pipelining (PH2 chapter 6) Caching (PH2 chapter 7) Virtual memory (PH2 chapter 7) I/O (PH2 chapter 8) parallelism (PH2 chapter 9) Date Topic Suggested reading Handouts/supplements Jun 20 Introduction, materials and semiconductors Jun 21( Saturday! 9:15am-10:20am! Transistors, film: Silicon Run Lite Jun 23 Logic, boolean algebra PH2 B.1, B.2, B.3 (except for PLAs, ROMs) Jun 25 State PH2 B.4, B.5 intro,flip-flops,latches, B.6, B.7 Jun 27 State, Arithmetic, bit operations PH2 4.1, 4.2, 4.4 (except for assembly language stuff) Jun 30 Arithmetic, bit operations, graphics PH2 4.5, 4.6 thru p. 253, 4.8 thru p. 280 handout Jul 1( Tuesday! 12:00pm-12:50pm!

46. UCSD Department Of Computer Science And Engineering - Computer Architecture And UCSD Department of computer science and Engineering. Advanced pipelining andInstruction Level Parallelism dynamic scheduling, branch prediction, http://www.cse.ucsd.edu/gradedu/advising/exams/masterscompexam/computerarchitect

Degree Programs Admissions Courses Advising ... CSE Comp Exam for Master Students Computer Architecture and Digital Logic Design Comprehensive Examination Syllabus TOPICS READINGS Basics of Logic Design Combinational logic, finite state machines [Patt94] Appendix B Performance metrics and calculations, performance equations, Amdahl's law Instruction Set Architecture instruction set classifications, addressing modes, instruction encoding, impact of high-level language and compilers Computer Arithmetic binary number systems, floating-point numbers, operations on binary numbers, implementations, ALU design, fast adder design CPU Design And Architecture stages of execution, basic CPU organization, single-cycle and multiple-cycle designs, microprogramming vs. hardwired control, interrupts Pipelining dependencies, data and control hazards, resolving hazards, forwarding, exceptions, multiple-functional-unit pipelines Advanced Pipelining and Instruction Level Parallelism dynamic scheduling, branch prediction, superscalar issue, compiler and architectural support for ILP, register renaming Memory Hierarchy caches and cache hierarchies, cache organizations, cache performance, compiler support for cache performance, main memory organization, virtual memory, TLBs

47. UCSD Department Of Computer Science And Engineering - CSE240A UCSD Department of computer science and Engineering. Topics include instructionset architecture, pipelining, pipeline hazards, bypassing, http://www.cse.ucsd.edu/gradedu/courses/gradcoursedesc/CSE240A.html

Degree Programs Admissions Courses This Year Schedule ... Graduate Course Descriptions Select a Course Graduate Course Descriptions CSE240A - Principles in Computer Architecture (Formerly CSE 240 - Revised Fall 2002) Units: 4 Course Description: This course will cover fundamental concepts in computer architecture. Topics include instruction set architecture, pipelining, pipeline hazards, bypassing, dynamic scheduling, branch prediction, superscalar issue, memory-hierarchy design, advanced cache architectures, and multiprocessor architecture issues. Prerequisites: CSE 141 or consent of instructor back to top ^ 9500 Gilman Drive, La Jolla, CA 92093-0114 About CSE CSE People Graduate Education Undergraduate Education ... webmaster@cse.ucsd.edu

48. Jim Huggins: Curriculum Vita Doctor of Philosophy Degree, computer science and Engineering, The University ofMichigan Specification and Verification of pipelining in the ARM2 RISC http://www.kettering.edu/~jhuggins/vita.html

James K. Huggins Kettering University 1700 West Third Avenue Flint, MI 48504-4898 Phone: 810-762-9500 x5439 Toll-Free: 800-955-4464 x5439 Fax: 810-762-9796 jhuggins@kettering.edu http://www.kettering.edu/~jhuggins/ Education Doctor of Philosophy Degree, Computer Science and Engineering The University of Michigan , Ann Arbor, May 1995. Thesis Title: Evolving Algebras: Tools for Specification, Validation, and Program Transformation . Thesis Advisor: Yuri Gurevich Master of Science Degree, Computer Science and Engineering The University of Michigan , Ann Arbor, May 1991. Bachelor of Science Degree With Highest Distinction, Honors in Computer Science College of Literature, Science, and the Arts The University of Michigan , Ann Arbor, May 1989. Experience Kettering University , Flint, Michigan. Associate Professor of Computer Science , July 2002present. Assistant Professor of Computer Science , July 1997June 2002. Wayne State University , Detroit, Michigan. Lecturer, September 1996May 1997. University of Michigan , Ann Arbor, Michigan. Visiting Scholar, September 1996present.

49. Computer Science Department - COMP 462: Computer Architecture The major hazards introduced by pipelining, including structural hazards, datahazards, Department of computer science Loyola University Chicago http://www.cs.luc.edu/academics/graduate/courses/cs462

@import url(http://www.cs.luc.edu/ploneColumns.css); @import url(http://www.cs.luc.edu/plone.css); @import url(http://www.cs.luc.edu/ploneCustom.css); Skip to content Computer Science Department Search CS Home About CS Academic Programs and Information Graduate Programs ... Student Activities Related Links About Loyola Maps/Direction COMP 462: Computer Architecture Credit hours Prerequisites COMP 264 (old 260) or COMP 360 or comparable background. Expected background includes: Understanding of basic computer organization, including familiarity with such components as CPU, ALU, multiplexors, registers, main memory, caches, and buses, familiarity with the roles of compilers, assemblers, and operating systems, some familiarity with assembly language, ability to understand simple C programs and to run programs in a UNIX environment, and familiarity with the representation of numbers in digital computers Description This course presents key principles underlying the design of modern digital computers. The course introduces quantitative techniques used to guide the design process. It describes CPU performance issues and introduces instruction set architectures. The course then uses a hypothetical computer design, with a simple RISC architecture, to show how modern digital computers are implemented, first using a simple non-pipelined implementation, followed by a higher-performace pipelined implementation. The major hazards introduced by pipelining, including structural hazards, data hazards, and control hazards are discussed and techniques for overcoming them are described. Additional topics covered in this course include the design of the memory hierarchy in modern digital computers, caching and virtual storage techniques, multiprocessor systems, and distributed shared memory systems.

50. Department Of Computer Science - Course Offering By Semester A capstone course for the precomputer science curriculum, CISC, pipelining,parallelism, interrupts, and networking discussed in detail. http://www.cs.usu.edu/classes_semesters.html?id=63

51. Department Of Computer Science - Course Offering By Semester For noncomputer science majors the laboratory, although advised, CISC,pipelining, parallelism, interrupts, and networking discussed in detail. http://www.cs.usu.edu/classes_semesters.html?id=63&pf=true

52. Courses - High Performance Computer Architecture - BYU Computer Science Departme BYU computer science Department. Summary, Advanced topics in computerarchitecture, including pipelining, super pipelining, VLIW, superscalar, http://www.cs.byu.edu/courses/index.php?id=72

53. Princeton Computer Science :: Technical Reports computer science. View printable page View printable page For example, theproblem of {it software pipelining} in parallel compilers is modeled as a http://www.cs.princeton.edu/research/techreps/TR-430-93

Department of Computer Science View printable page Computer Science Main Page Academics Course Information Course Catalog Graduate Program Undergraduate Program ... Interdisciplinary Programs Research Research Areas Colloquia Technical Reports People Faculty Graduate Students Undergraduate Students Administrative Staff ... Alumni/ae About Princeton CS Contact Us Facilities Industrial Affiliates Visit Us Job Openings Open Positions Links CS Computing SEAS Links Libraries Technical Reports Display by Author: A B C D ... Z Search by Report Title Author Year TR Number for: TR-430-93 Scheduling and Behavioral Transformations for Parallel Systems (Thesis) Authors: Chao, Liang-Fang Date: October 1993 Pages: Download Formats: Postscript Abstract: Site Map Webmaster About Princeton University Computer Science Department

54. Princeton Computer Science :: Technical Reports computer science. View printable page View printable page greedy softwarepipelining (a variant of perfect pipelining), and top down scheduling. http://www.cs.princeton.edu/research/techreps/TR-360-92

Department of Computer Science View printable page Computer Science Main Page Academics Course Information Course Catalog Graduate Program Undergraduate Program ... Interdisciplinary Programs Research Research Areas Colloquia Technical Reports People Faculty Graduate Students Undergraduate Students Administrative Staff ... Alumni/ae About Princeton CS Contact Us Facilities Industrial Affiliates Visit Us Job Openings Open Positions Links CS Computing SEAS Links Libraries Technical Reports Display by Author: A B C D ... Z Search by Report Title Author Year TR Number for: TR-360-92 An Empirical Comparison of Loop Scheduling Algorithms on a Shared Memory Multiprocessor Authors: Blumrich, Matthias A. Brownhill, Carrie J. Li, Kai Nicolau, Alexandru Date: January 1992 Pages: Download Formats: Postscript Abstract: This paper studies several methods of instruction level parallelization applied at the statement level on a shared memory multiprocessor, and reports the results of an empirical evaluation to determine which of the methods yields the best results. Using sequential code as a base case, we compared doacross, list scheduling, greedy software pipelining (a variant of perfect pipelining), and top down scheduling. The experiments were performed on loops both with and without loop carried dependencies. We find that statement level parallelism does yield speedups on the shared memory multiprocessor. In addition, we observed an interesting superlinearity effect for fully vectorized loops. Site Map Webmaster About Princeton University Computer Science Department

55. UNM Computer Science January 16, 1997 computer science Department University of New Mexico Explain the difference between simple pipelining and super pipelining. http://www.cs.unm.edu/degrees/phd_degrees/comprehensive_examinations/spring_97_s

UNM Computer Science Department Home Degrees PhD Degrees Comprehensive Examinations In This section: Committee on Studies Course Requirements Residency Requirements Candidacy ... Suggested Reading List Operating Systems and Architecture Comprehensive Exam In-Class Version January 16, 1997 Computer Science Department University of New Mexico The test monitor will answer some parts of these questions for you if you are unsure of what some of these terms mean. The only penalty is that you will not get any points for the part that was answered for you. You can still answer the other parts of the question. This can get you started on a question even if you are not sure of the definitions. Do enough questions to total at least 100 points. It is okay to go over 100 points and you can answer as many questions as you wish but all the questions you answer will be counted in your grade and the total will be normalized to 100 points. We will not take the best 100 points. Election algorithms ) (20 points) In a parallel operating system it is sometimes necessary to have an election , that is, one of the machines on the network is elected to fulfill some function (like be a file server). Describe as many situations as you can where such an election would be necessary. Sketch out one algorithm to do such an election. Analyze the algorithm in terms of the likelihood that different kinds of failures will cause the algorithm to fail.

56. School Of Computer Science And Engineering, Seoul National University In this course, many examples from computer science and engineering will bediscussed. Major concepts discussed in this course includes pipelining, http://web.cse.snu.ac.kr/english/academics/academics01.asp

Courses Admission Regulations Courses The details prescribed in this curriculum are effective as ancillary regulations or by-laws of the Academic Regulations. The curriculum provides the undergraduate and graduate program offered by each department or program. The undergraduate programs consist of general courses designed for liberal arts education and major courses designed for specialization in various areas of study. The graduate programs comprise both the master's program and the doctoral program, but no such distinction is made in the graduate curricula. In other words, departments may have their own requirements for the master's program and the doctoral program, but both programs are integrated in the present curriculum. Undergraduate Graduate Undergraduate Courses 4190.101 Discrete Mathematics 3-3-0

57. WVU Computer Science Courses Applications of discrete mathematics to computer science. memory and I/Ostructures; pipelining and memory management; introduction to parallel and high http://www.cs.wvu.edu/dept/courses.html

WVU Computer Science Courses Lower Division Courses CS 15. Introduction to Computer Science CS 16. Principles of Computer Science CS 26. Discrete Mathematics ... CS 388. Interactive Computer Graphics Please send any comments or suggestions to: webmaster@cs.wvu.edu LOWER DIVISION COURSES CS 15 Introduction to Computer Science Programming and program design; simple data types, variables, and expressions; block structures; program modularization through procedures, functions, and packages; repetition and selection through control structures; structured data types, including arrays and records; representative applications. CS 16 Principles of Computer Science PR: CS 15 Design and implementation of programs manipulating complex data structures; sets, files, stacks, lists, trees; searching and sorting; comparison of implementation techniques; analysis of efficiency; dynamic allocation; recursion. CS 26 Discrete Mathematics PR: CS 16 and Math. 15 Traditional mathematics such as functions, relations, set theory, and graph theory: applications to computer science: switching circuits, Boolean algebra, and Karnaugh maps. CS 56 Computer Organization and Assembler Programming PR: CS 16 Machine organization, number systems, assembler and machine language, macros, subroutines, and the use of several computational formats.

58. Personal Information Name Sumit Sanghai Address 490 Allen Bachelor of Technology, Deparment of computer science and Engineering. 2001 A paper titled pipelining in MultiQuery Optimization was accepted at the http://www.cs.washington.edu/homes/sanghai/resume.html

Personal Information: Name Sumit Sanghai Address 490 Allen Center, Department of Computer Science, Box 352350, University of Washington, Seattle, WA 98195-2350 Phone Email sanghai@cs.washington.edu Objective: To obtain an internship position in a research lab/industry Education: University of Washington, Seattle, WA Ph.D., Department of Computer Science. (9/01 - till date) PhD Qualifiers : Inference in Dynamic Probabilistic Relational Models Third Year Student Indian Institute of Technology, Bombay, India. Bachelor of Technology, Deparment of Computer Science and Engineering. Thesis: Pipelining in Multi-Query Optimization. GPA 9.43/10 Research Interests: Artificial Intelligence, Machine Learning, Probabilistic Inference, Game Theory, Theoretical Computer Science Academic Honors: 2005: A paper titled Relational Dynamic Bayesian Networks was accepted in the Journal of Artificial Intelligence Research (JAIR). 2004: A paper titled Adversarial Classification was accepted at the International Conference on Knowledge Discovery and Data Mining (KDD 2004).

59. Warwick: DCS: Modules University of Warwick computer science Undergraduate Modules. system usageand architecture; pipelining and pipeline processors; Array processors; http://www.dcs.warwick.ac.uk/undergraduate/modules/cs208.html

Accessibility Contact Us A-Z Index Home ... Local Local Navigation Courses in CS Computer Science Computer and Management Sciences Computer and Business Studies ... List of CS Modules Modules Study Skills Visiting Students Privacy CS208 Computer System Design CS208 12 CATS (6 ECTS) Term 1 Availability Core - CS, CMS and CBS Prerequisites Academic Aims A second-level module to provide students with a sound (core) fundamental knowledge of computer hardware and systems, and data communications and networks. Design and performance are central themes in consideration of the material, and the module concentrates on the underlying principles, the design concepts, and the choice and comparison of various implementations. Learning Outcomes On completion of the module the student will have: an understanding of the organisation of computer systems and the way that data is communicated via computer networks; a knowledge of how computer systems are designed and implemented, and how the design choices are influenced by applications; an understanding (and practice) of the performance analysis of both conventional computers and parallel systems.

60. Warwick: DCS: Reports And Theses University of Warwick computer science Research Reports and Theses. J.Papay, MJ Zemerly and GR Nudd, pipelining the Givens Linear Solver on http://www.dcs.warwick.ac.uk/reports/294.html

Accessibility Contact Us A-Z Index Home ... Local Local Navigation Research Algorithms and Complexity Computational Biology High-Performance Systems ... Theory and Practice of Programming Reports and Theses Privacy Research Report CS-RR-294 J. Papay, M.J. Zemerly and G.R. Nudd, Pipelining the Givens Linear Solver on Distributed Memory Machines (November 1, 1995). Abstract Pipelining is normally associated with shared memory and vector computers and rarely used as an algorithm design technique for distributed memory architectures. In this paper we show how pipelining enables communication and computation to be overlapped on a distributed memory parallel computer (128 T800 Parsytec SuperCluster) yielding a significant speedup. A linear solver based on Givens rotations is selected and parallelised using two different techniques. A non-overlapping algorithm using collective communication, such as optimised broadcast and collection, is compared with a pipelined (overlapping) algorithm using only simple point-to-point communications between neighbouring processors. Both algorithms use the same computational modules which have been identified and extracted from the sequential code. Download cs-rr-294.ps.gz

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