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5 edition of Comparing the NYU ultracomputer with other large-scale parallel processors. found in the catalog.

Comparing the NYU ultracomputer with other large-scale parallel processors.

by Allan Gottlieb

  • 41 Want to read
  • 26 Currently reading

Published by Courant Institute of Mathematical Sciences, New York University in New York .
Written in English


The Physical Object
Pagination10 p.
Number of Pages10
ID Numbers
Open LibraryOL17866482M

  The method to evaluate the parallel computational time and to optimize the parallel parameters are presented. The parallel computing systems are developed based on these techniques and applied to a large scale problem with , degrees of freedom using twenty-one by: 9. Assembling Genomes on Large-Scale Parallel Computers Anantharaman Kalyanaraman1, Scott J. Emrich1'2, Patrick S. Schnable2'3, Srinivas Aluru1'2 'Department of Electrical and Computer Engineering 2Bioinformatics and Computational Biology Program 3Departments ofAgronomy, and Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA.

Large Scale Processor Reference, or LSPR, is an oft-forgotten concept within the world of mainframe computing, but it continues to retain a practical application in the year Applying the concept of LSPR enables one to analyze the system capacity and speed on the basis of workload sensitive benchmarks.   The goals of this metacomputer are the orchestration of very large amounts of workstations and the integration of supercomputers into a pool of resources for distributed parallel computing. Based on a tree shaped logical interconnection topology, the system provides not only a parallel programmer interface but also a simple user interface to Cited by: 1.

We describe a strategy that uses a serial "front-end" computer to carry out the sparse part of the elimination and a massively parallel processor to complete the elimination on the dense block. Through computational tests, we show that two such computers working together can solve hard linear programs much faster than either could by: "Instruction-Level Parallel Processors." IEEE Computer Society Press Anujan Varma, C. S. Raghavendra. "Interconnection Networks for Multiprocessors and Multicomputers: Theory and Practice." IEEE Computer Society Press Cache/Memory Subsystem. Harvey G. Cragon. "Memory Systems and Pipelined Processors." Jones and Bartlett


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The resolutions, memorial, and vouchers of their High Mightinesses, shewing, that the States-General of the United Provinces are wrongfully chargd ... with having faild ... to furnish what they ought of their quota or contingent, according to their engagements

Comparing the NYU ultracomputer with other large-scale parallel processors by Allan Gottlieb Download PDF EPUB FB2

Comparing the NYU Ultracomputer with other large-scale parallel processors Technical Report Gottlieb, A We describe the proposed NYU Ultracomputer, a shared memory MIMD parallel machine composed of thousands of autonomous processing elements.

A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. This book provides a comprehensive introduction to parallel computing, discussing theoretical issues such as the fundamentals of concurrent processes, models of parallel and distributed computing, and metrics for evaluating and comparing parallel algorithms, as well as practical issues, including methods of designing and implementing shared Cited by: 4.

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Attention is also given to the DOE applied mathematical sciences research program, the NYU Ultracomputer project, the DARPA multiprocessor system architectures program, NSF research on multiprocessor systems, ONR activities in parallel computing, and NASA parallel processor projects.}, doi = {/MC}, journal = {Computer.

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the best and all other alternatives equals to ˙. 0 2, 4, 6, 8, 10, 0 × Number of alternatives Expected total sample size KN maximum Rinott KN average than the worst case, which makes fully sequential proce-dures more attractive for large-scale R&S problems than two-stage procedures such as Rinott’ Size: KB.

In the 80’s, a special purpose processor was popular for making multicomputers called Transputer. A transputer consisted of one core processor, a small SRAM memory, a DRAM main memory interface and four communication channels, all on a single chip.

To make a parallel computer communication. CS, Parallel Computing deals with the use of large scale computing platforms ranging from desktop multicore processors, tightly coupled SMPs, message passing platforms, and state-of-the-art virtualized cloud computing environments. The course consists of four major parts.

"Performance comparison of large-scale scientific processors: Scalar mainframes, mainframes with vector facilities, and supercomputers," Computer (March), Google Scholar Digital Library Jouppi, N. [].

ve Garbage Collection Strategy for Parallel Programming Languages on Large Scale Distributed-Memory Machines Kenjiro Taura* and Akinori Yonezawa Department of Information Science, Faculty of Science, University of Tokyo, Hongo, Bunkyo-ku Tokyo Japan {tau, yonezawa}~is.

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