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Pipelining Computer Science:     more books (16)

A Code Mapping Scheme for Dataflow Software Pipelining (The Springer International Series in Engineering and Computer Science) by Guang R. Gao, 1990-12-31 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 Compiling for dataflow software pipelining (Technical report / McGill University. School of Computer Science) by Guang R Gao, 1989 Pipelining peformance of structured networks (University of California, Irvine. Dept. of Information and Computer Science. Technical report) by Frederic M Tonge, 1978 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 Pipelining techniques for vector reduction arithmetic (Technical report) by Lionel M Ni, 1983 Computer Organization by Carl Hamacher, Zvonko Vranesic, et all 2001-08-02 Perfect pipelining: A new loop parallelization technique (Technical report. Cornell University. Dept. of Computer Science) by Alexander Aiken, 1987 Fault-tolerance and two-level pipelining in VLSI systolic arrays by H. T Kung, 1983 A study of instruction prefetching and pipelining of 8088/286/386 microprocessors (DISCS publication) by K. T Lua, 1988 A parallel pipelined renderer for the time-varying volume data (SuDoc NAS 1.26:206275) by Tzi-cker Chiueh, 1997 Complexicty of Kronecker operations on sparse matrices with applications to the solution of Markov models (SuDoc NAS 1.26:206274) by NASA, 1997 The force on the flex global parallelism and portability (SuDoc NAS 1.26:178161) by Harry F. Jordan, 1986 Parallelization of the pipelined Thomas algorithm (SuDoc NAS 1.26:208736) by A. Povitsky, 1998

lists with details

41. UCSD Department Of Computer Science And Engineering - CSE240A
    This course will cover fundamental concepts in computer architecture. Topics include instruction set architecture, pipelining, pipeline hazards, bypassing  
    http://www.cs.ucsd.edu/gradedu/courses/gradcoursedesc/CSE240A.html
    
    Extractions: 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.

42. UCSD Department Of Computer Science And Engineering - Computer Architecture And
    computer Arithmetic binary number systems, floatingpoint numbers, operations pipelining dependencies, data and control hazards, resolving hazards, forwarding  
    http://www.cs.ucsd.edu/gradedu/advising/exams/masterscompexam/computerarchitectu

43. University Of Maryland Computer Science Technical Reports
    The symmetric hash join operator supports such pipelining, but it Institute for Advanced computer studies, Department of computer science, University of  
    http://www.cs.umd.edu/TRs/authors/Michael_J_Franklin.html
    
    Extractions: To see a listing without abstracts You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format. However, this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the Department of Computer Science of the University of Maryland at College Park under terms that include this permission. All other rights are reserved by the author(s). CS-TR-4005 CS-TR-3994 CS-TR-3811 CS-TR-3714 Query Scrambling for Bursty Data Arrival..

44. Computer Science Graduate Course Descriptions
    computer ARCHITECTURE (3) Cache, pipelining, memory design, interconnection networks PROJECT (3) Research into a specific computer science problem, development  
    http://cs.hbg.psu.edu/ms/mscourses.html

45. WPI 2001-2002 Undergraduate Catalog - Computer Science Course Descriptions
    Intended audience computer science and computer engineering majors theoretical foundations, modern computer system components, pipelining of instruction  
    http://www.wpi.edu/Pubs/Catalogs/Ugrad/2002/cscourses.html
    
    Extractions: This course introduces computer systems to students who may need to write or use computer programs in their undergraduate engineering, science, or management courses. Topics include problem-solving and algorithm development, the program development cycle, structured programming design, coding, debugging and documentation. Students will be expected to implement a variety of programs using the FORTRAN programming language. Intended audience: noncomputer science majors desiring a practical introduction to programming. This course is not sufficient background for MQPs or IQPs involving extensive programming or most advanced computer science or computer engineering courses. Such background may be obtained by taking CS 1005 or CS 1006 followed by CS 2005 Recommended background: none.

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

47. Drexel University Library - Computer Engineering And Computer Science Resource G
    for Sigma Xi, honor society of science and Engineering instruction set, fundamentals of assembly language, computer arithmetic, pipelining, and memory  
    http://www.library.drexel.edu/research/guides/pdfs/compeng.html
    
    Extractions: The ACM (Association for Computing machinery) Digital Library includes abstracts, reviews, and the full-text articles published in ACM periodicals and proceedings since 1985. Full-text is available for most articles from 1985 through present. (While full-text is available for most articles, full-text is not yet available for every proceeding article published before 1991. Tables of contents are available from 1954 through present. ACM posts a running tally of their publication counts, well over 69,000 full text articles to date. Drexel subscribes to the full suite of publications, including conference proceedings.

48. College Of Information Technology: Computer Sciences Department
    computer science. Specialized study in a selected area of computer science. Topics include parallel computer systems, pipelining techniques, vector  
    http://cit.georgiasouthern.edu/cs/grad.html
    
    Extractions: Menu CS Homepage Undergraduate Information Graduate Information Alumni ... Transfer Information for Graduate Students 30 HOURS COURSEWORK / 6 HOURS RESEARCH PROJECT Applying Applications for graduate admission can be obtained from the College of Graduate Studies . When applying, write CS OPTION on the application. General questions about admission to the College of Graduate Studies , graduate assistantships, and requests for application materials and catalogs should be directed to: The College of Graduate Studies College of Information Technology, Department of Computer Science, Graduate Coordinator, Georgia Southern University, P.O. 7997, Statesboro, GA 30460, 912-486-7430, bobcook@gasou.edu Admission: For regular admission to the College of Graduate Studies to pursue work leading to this degree, the applicant must have:

49. Computer Science, Rutgers University: [198:505 ] Advanced Computer Architecture
    Objectives Core material for computer science degree candidates. Advanced topics are covered such as pipelining, parallel architecture, and communication.  
    http://www.cs.rutgers.edu/cs/academics/graduate/courses/node11.html
    
    Extractions: Objectives Core material for Computer Science degree candidates. The course is designed to provide a solid understanding of the architecture, organization, and design of digital systems. The emphasis is on theoretical issues rather than on the physical hardware. Advanced topics are covered such as pipelining, parallel architecture, and communication. Prerequisites Entrance requirements, and a course that covers fundamentals of computer architecture such as combinational and sequential logic design, data representation, memory management, assembly language, and microprogramming. Outline Advanced computer arithmetic

50. Computer Science
    undergraduate program has included a substantial computer science content will Poehlman Traditional performance enhancement techniques pipelining, RISC, VLIW  
    http://www.mcmaster.ca/graduate/2000-2001/compsci.htm
    
    Extractions: The Department of Computing and Software offers a research-oriented program leading to the M.Sc. degree in Computer Science. Applications will be considered from candidates holding bachelor's degrees in Computer Science or Computer Engineering. Candidates with degrees in other disciplines who have included a substantial Computer Science component in their programs are also encouraged to apply. Full-time study is preferred, but part-time study is a possible option. Enquiries: 905 525-9140 Ext. 27863

51. Öйú¿ÆѧԺ¼ÆËã¼¼ÊõÑо¿Ëù :: Www.ICT.ac.cn
    10(11),1987,()? · The Design and Implementatuon of a Very Fast Experimental pipelining computer. J. computer science and Technology  
    http://www.ict.ac.cn/3-2-1.htm

52. Computer Science
    architecture, assembly programming, computer arithmetic, data architecture and control, pipelining, memory hierarchy biological, and social sciences solution of  
    http://www.yale.edu/bulletin/html2003/grad/cpsc.html
    
    Extractions: Dana Angluin, Ronald Coifman (Mathematics), Julie Dorsey, Stanley Eisenstat, Joan Feigenbaum, Michael Fischer, David Gelernter, Paul Hudak, Ravindran Kannan, Drew McDermott, A. Stephen Morse (Electrical Engineering), Zhong Shao (on leave), Martin Schultz, Abraham Silberschatz, Steven Zucker Associate Professor

53. VCU School Of Engineering -- Computer Science
    Selected topics in computer science such as theory of CMSC 605/ENGR 635 Advanced computer Architecture. memory design and management, pipelining and pipeline  
    http://www.egr.vcu.edu/compsci/cs_courseinfo.html
    
    Extractions: School of Engineering Home Biomedical Chemical Computer Science Electrical Mechanical Undergraduate Admissions Graduate Admissions Graduate Programs Research Facilities People About Us Student Activities Student Services Employment Opportunities Computer Science Home Undergrad. CS Curriculum Course Info Graduate Programs People Student Resources Contact Info Course Info Select a course from Computer Science CMSC 245 - Introduction to Programming Using C++ CMSC 246 - Advanced Programming Using C++ CMSC 255 - Introduction to Programming CMSC 256 - Data Structures and Object Oriented Programming CMSC 301 - Introduction to Discrete Structures CMSC 311 - Computer Organization and Assembler Language Programming CMSC 312 - Introduction to Operation Systems CMSC 355 - Program Design CMSC 391 - Topics in Computer Science CMSC 401 - Algorithm Analysis with Advanced Data Structure CMSC 403 - Programming Languages CMSC 419 - Software Development Methods CMSC 490 - Research Seminar CMSC 492 - Independant Study CMSC 502 - Parallel Programming CMSC 504 - Compiler Construction CMSC 505 - Computer Architecture CMSC 506 - Computer Networks and Communications CMSC 508 - Data Base Theory CMSC 509 - Artificial Intelligence CMSC 511 - Computer Graphics CMSC 519 - Software Engineering; Specification and Design

54. University Of Warwick: Computer Science: Undergraduate: Modules
    Department of computer science logo. the performance analysis of both conventional computers and parallel system usage and architecture; pipelining and pipeline  
    http://www.dcs.warwick.ac.uk/undergraduate/modules/cg251.html
    
    Extractions: Privacy CG251 12 CATS (6 ECTS) Term 1 Availability Core - CS, CMS, CBS, CSE and Physics with Computing. 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.

55. University Of Warwick: Computer Science: Research: Reports And Theses
    of computer science logo. J. Papay, MJ Zemerly and GR Nudd, pipelining the Givens Linear Solver on Distributed Memory Machines (November 1, 1995). Abstract.  
    http://www.dcs.warwick.ac.uk/reports/294.html
    
    Extractions: Privacy J. Papay, M.J. Zemerly and G.R. Nudd, Pipelining the Givens Linear Solver on Distributed Memory Machines (November 1, 1995). 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. cs-rr-294.ps.gz

56. Software Engineering International Computer Science Series Textbooks & Books Pri
    A Code Mapping Scheme for Dataflow Software pipelining (Kluwer International Series in Engineering and computer science, 125) Hardcover Show all editions  
    http://www.directtextbook.com/title/software-engineering-international-computer-

57. Ohio University Electrical Engineering And Computer Science Graduate Programs
    in the physical sciences, mathematics, computer science, or engineering SIMD, MISD, and MIMD computer organizations; parallelism versus pipelining.  
    http://www.ohiou.edu/gcatalog/95-97/AREAS/engineer/ee.html
    
    Extractions: Graduate Catalog Programs leading to the Master of Science and Doctor of Philosophy degrees are offered. Areas of interest include computers and control systems; VLSI design; communications; information and electronic circuitry; solid state; energy conversion; computing and power systems; computer-integrated manufacturing; electromagnetics; avionics; microwave circuits; signal processing; image processing; and network theory. To be considered for entrance into the master's program, you must have a B.S. degree in electrical engineering or an equivalent degree in physical science, mathematics, computer science, or engineering. B.S.E.E. deficiencies must be made up by self study or by auditing (or taking without graduate credit) appropriate undergraduate courses. To be admitted to the Ph.D. program, you must have an M.S. degree in electrical engineering or equivalent in the physical sciences, mathematics, computer science, or engineering. If you do not have an M.S. degree in electrical engineering, you must enroll in courses as specified by the graduate committee.

58. 3BA5 - Computer Engineering
    in the book section or the paper such as pipelining, superscalar, superpipeline paper copy of your essay to the office in the computer science Department before  
    http://www.cs.tcd.ie/Michael.Manzke/3ba5.html
    
    Extractions: 3BA5 Computer Engineering Semester 1 - Microprocessor Systems Engineering Lecturer: Michael Manzke Duration: 1 semester, 3 hours per week. Time Table: B.A. (Mod) Computer Science, Junior Sophister 2003-2004 Software: VHDL (XILINX - ISE Logic Design Tools), Mentor Graphics, ModelSim Prerequisites: 1ba3, 1ba4, 2ba4, VHDL Aims of Course To learn the architecture, organization and design of high performance processing systems with emphasis on pipelined systems Course Work: Two projects using VHDL ModelSim. Contents: Bit-parallel memory and arithmetic, I/O processors, interleaved memory, cache memory, instruction look-ahead, multiple functional units, instruction pipelines, pipeline functional units, processor arrays, multiprogramming, timesharing, multiprocessing, data-flow, Flynn's taxonomy. Textbooks

59. * Certificate In Computer Science
    CISC, pipelining, caches, I/O, virtual memory and related performance issues better in CS 2318 and CS 3409.); 6 hours of advanced computer science electives (CS  
    http://www.cs.txstate.edu/Certificate.shtml
    
    Extractions: Department of Computer Science Certificate in Computer Science Educational Objectives: The certificate program in computer science offers a broad-based curriculum in computer science to those working professionals who already have a degree in other fields and who wish to pursue a career in a field which is in high demand. The certificate program will meet the exponentially growing demand for computer science professionals and will help industry to find scarce professionals trained in various areas of computer science.  The certificate program also provides the background courses for students with a baccalaureate degree in a field other than computer science to pursue a master's degree in computer science or software engineering. The educational objectives of the certificate program include: Provide students with a broad knowledge of computer science technology. Provide leadership in advancing the state of the practice of computer science education. Provide students with specific knowledge and skills required to develop methodologies and to analyze and design complex computer systems. Prepare students to enter master's degree programs in computer science.

60. NYU Computer Science
    topics in the core computer science graduate courses datapath and control, pipelining, memmory hierarchy 2243 High Performance computer Architecture Prerequisite  
    http://www.cs.nyu.edu/csweb/Academic/Graduate/courses.html
    
    Extractions: Graduate Course Descriptions Note: Descriptions of courses in the Special Topics in Computer Science Series (G22.3033) are listed separately. Note: Students should be prepared to spend considerable time doing assignments outside of class hours. Although PAC is intended as a first course in computer science, experience with programming concepts in any language is assumed for all entering PAC students. Students who complete G22.1144 (PAC II) with a grade of A are qualified for admission to the MS program in Computer Science. G22.1133 Intensive Introduction to Graduate Study in CS (PAC I)

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