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1 edition of An implementation of a combining network for the NYU ultracomputer found in the catalog.

An implementation of a combining network for the NYU ultracomputer

by Susan Dickey

  • 371 Want to read
  • 15 Currently reading

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


Edition Notes

StatementBy Susan Dickey, Richard Kenner, Marc Snir
ContributionsKenner, Richard, Snir, Marc
The Physical Object
Pagination14 p.
Number of Pages14
ID Numbers
Open LibraryOL25400364M

NYU-Ultracomputer. Combining fetch-and-add in Omega network. The main idea is as follows. Suppose there is a set of processors and a set of memory modules with a multi-staged interconnection network. Back then, this was one reasonable way of thinking about a parallel machine. We describe the Symunix operating system for the NYU Ultracomputer, a machine with hardware support for Fetch&Phi operations and combining of memory references. Avoidance of serial bottlenecks, through careful design of interfaces and use of highly parallel algorithms and data structures, is the primary goal of the system.

Simulation results are provided for implementation alternatives using switches of varying capabilities, in order to compare the effectiveness of different methods. We show that a practical combining switch design, the two-and-a-half-way combining switch, provides performance equivalent to that of other more expensive designs for systems with up Cited by: 1. machine learning research. Combining neural network-based function approximation with psychologically-driven reinforce-ment learning, research in deep RL has achieved superhuman performance on Atari games (Mnih et al., ), board games such as chess and Go (Silver et al., ), and modern video games such as DotA 2 (OpenAI, ).

Network performance Engineering & Materials Science. Synchronization Engineering & Materials Science. Memory architecture Engineering & Materials Science. View . The Faculty Handbook is a guide to the faculty and is designed to present general information about New York University, and some of the more important University policies and practices as they apply to the Faculty of the University. It is also meant to inform and serve other members of the University community.


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An implementation of a combining network for the NYU ultracomputer by Susan Dickey Download PDF EPUB FB2

A new formalism is given for read-modify-write (RMW) synchronization operations. This formalism is used to extend the memory reference combining mechanism introduced in the NYU Ultracomputer Author: P KruskalClyde, RudolphLarry, SnirMarc.

New York University Abstract The NYU Ultracomputer is a shared memory MIMD parallel computer design to contain thousands of processors connected by an Omega network to a like number of memory : Allan Gottlieb. The NYU Ultracomputer is a shared memory MIMD parallel computer design to con-tain thousands of processors connected by an Omega network to a like number of memory modules.

A new coordination primitive fetch-and-add is defined and the net-work is enhanced to combine simultaneous requests, including fetch-and-adds, directed.

The NYU Ultracomputer Project The NYU Ultracomputer Lab conducts research in parallel computer architecture and software design. Specifically, we have constructed two generations of shared memory machines: an 8 processor bus-based machine in the 's and, our current prototype, a 16 processor, 16 memory-module machine with custom VLSI switches supporting the Fetch-and-Add coordination.

We present the design for the NYU Ultracomputer, a shared-memory MIMD parallel machine composed of thousands of autonomous processing elements. The Message-Driven Processor (MDP) is an integrated multicomputer node that provides efficient mechanisms for parallel computing.

It incorporates a bit integer processor, a memory management unit, a router for a 3-D mesh network, a network interface, a 4K-word x bit SRAM, and an ECC DRAM controller in a single M transistor VLSI chip.

Overall accomplishments include the architectural innovations, numerous algorithms and algorithmic analyses, the construction of fully functional multiprocessors, two generations of Author: Allan Gottlieb.

• Two networks: Low latency Banyan and a combining Omega ==> Goal was to build the NYU Ultracomputer model • Interesting aspects: • Data distribution scheme to address locality and module hot spots • Combining network design to address synchronization bottlenecks P Mem Map unit Cache NI main memory L G (interleave) NETWORKS moveable.

To alleviate the contention, restricted combining, in which two requests can be combined into a single request at a 2 x 2 switch, was suggested for the NYU Ultracomputer. 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.

Combining Operations in the Network Idea: Combine multiple operations on a shared memory location Example: Omega network switches combine fetch-and-add operations in NYU Ultracomputer Fetch-and-add(M, I): return M, replace M with M+I Common when parallel processors modify a shared variable, e.g.

obtain a chunk of the array Combining reduces. NYU-NET is NYU's campus-wide, Internet-connected network of computers, computer-related equipment, and information resources. Underlying NYU-NET is a collection of hardware, software, operating procedures, and policies that define and manage how NYU-based computers connect to each other and to the Internet.

To alleviate the contention, restricted combining, in which two requests can be combined into a single request at a 2 x 2 switch, was suggested for the NYU Ultracomputer. We study the effectiveness of combining by considering several schemes under the nonuniform traffic model.

An overview of the NYU ultracomputer project. / Gottlieb, Allan. Experimental parallel computing architectures. / Jack J. Dongarra. North-Holland, p. Cited by: A combining switch was fabricated in 2 micron CMOS for use in the 16 by 16 processor/memory interconnection network of the NYU Ultracomputer prototype.

Details are given about the internal logic of the two component types used in the network. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This note describes a proposed extension to the architecture of shared memory multiprocessors with combining fetch-and-add operations, such as the NYU Ultracomputer and the IBM RPn.

The extension involves addition of a small amount of hardware between the network and the memory, which permits the efficient. Combining Operations in the Network.

Idea: Combine multiple operations on a shared memory location. Example: Omega network switches combine fetch-and-add operations in NYU Ultracomputer. Fetch-and-add(M, I): return M, replace M with M+I. Common when parallel processors modify a shared variable, e.g.

obtain a chunk of the array. Fetch-and-conditional-swap The only way to implement a shared object that supports highly concurrent access by multiple processes is by use of a combining multistage interconnection network [3].

Such networks are indeed utilized by research prototypes like the NYU Ultracomputer [1] and IBM RP3 [4].Cited by: 1. Busy-wait techniques are heavily used for mutual exclusion and barrier synchronization in shared-memory parallel programs. Unfortunately, typical implementations of busy-waiting tend to produce large amounts of memory and interconnect contention, introducing performance bottlenecks that become markedly more pronounced as applications scale.

libigl - A C++ Geometry Processing Library libigl is a simple c++ geometry processing library. We have a wide functionality including construction of sparse discrete differential geometry operators and finite-elements matrices such as the contangent Laplacian and diagonalized mass matrix, simple facet and edge-based topology data structures, mesh-viewing utilities for opengl and glsl, and many.

A low-level, flexible set of parallel primitives is provided that can support a wide spectrum of parallel programming styles. ZLISP currently runs on the NYU Ultracomputer prototype. A version that simulates parallelism runs on VAX and SUN minicomputers. I begin this thesis by discussing ZLISP's design and implementation.CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Molasses is a simulator for a complete Ultracomputer system, containing processors, memory modules, and a multi-stage interconnection network supporting combining.

The simulated machine is quite close to the Ultra-3 prototype. A large number of parameters may be set by the user to alter the characteristics of the.About NYU. Connecting talented and ambitious people in the world's greatest cities, our mission is to be a top quality institution.