3 edition of implementation of a combining network for the NYU ultracomputer. found in the catalog.
by Courant Institute of Mathematical Sciences, New York University in New York
Written in English
|Statement||By Susan Dickey, Richard Kenner, Marc Snir.|
|Contributions||Kenner, Richard, Snir, Marc|
|The Physical Object|
|Number of Pages||14|
NYU ultracomputer • Implements fetch-and-add • PROS: • Can use message combining, scales well • Efﬁcient barrier implementation • CONS: • Very complex network • Adders in each memory module. In , Schwartz joined the faculty at New York University (NYU) as associate professor, and in was promoted to his current position of professor. In this paper he proposed the notion of an ideal shared memory parallel computer and an implementation called the Ultracomputer, based on a shuffle-exchange network, to approximate the.
the memory reference combining mechanism, introduced in the NYU Ultracomputer, to arbitrary RMW operations. A formal correctness proof of this combining mechanism is given. Gen- eral requirements for the practicality of combining are dis- cussed. Combining is shown to be practical for many useful. This result in turn shows that the bitonic network is not the only counting network with depth O log 2 n. Section 5 covers the implementation of counting networks and demonstrates their utility by showing applications to the highly concurrent implementation of three data structures: shared counters, producerconsumer buffers, and barriers.
NYU WIRELESS is an innovative academic research center with a focus on 5G and beyond wireless research. NYU WIRELESS is a vibrant academic research center that is pushing the boundaries of wireless communications, sensing, networking, and devices. Centered at NYU Tandon and involving leaders from industry, faculty and students throughout the entire NYU community, NYU WIRELESS . multithreading and smart combining networks, such as the NYU Ultracomputer , SBPRAM by Wolfgang Paul’s group in Saarbrucken [1,30,40], XMT by Vishkin , and ECLIPSE by Forsell . PRAM is a general purpose model that is completely insensitive to data locality. PRAM model variants have been proposed.
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The NYU Ultracomputer is a class of highly parallel, shared-memory multiprocessors featuring two innovations: the fetch-and-add process coordination primitive, and a hardware method to combine (nearly simultaneous) memory references directed at the same location.
These references can be loads, stores, or fetch-and-adds. 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.
NYU (New York University) Ultracomputer. and the design and implementation of full-custom VLSI chips for combining memory references. (RRH)Author: Allan Gottlieb. Paperback. Book Condition: New. x mm. Language: English. Brand New Book ***** Print on Demand *****.Excerpt from An Overview of the Nyu Ultracomputer Project 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 modules.
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 modules.
A new coordination primitive fetch-and-add is defined and the network is enhanced to combine simultaneous requests, including fetch-and-adds, directed at the same memory Author: Allan Gottlieb.
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. 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. 2. 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 .
Such networks are indeed utilized by research prototypes like the NYU Ultracomputer  and IBM RP3 . The CHoPP  and the NYU Ultracomputer  methods of request combining are instances of IIC: the interconnection network determines the combining set and distributes the results.
The IBM RP3  researchers proposed the basic ideas of the Ultracomputer method of combining for their implementation. However, the RP3. Abstract. In a multiprocessor computer communication among the components may be based either on a simple router, which delivers messages point-to-point like a mail service, or on a more elaborate combining network that, in return for a greater investment in hardware, can combine messages to the same address prior to delivery.
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. 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. A VLSI Combining Network for the NYU Ultracomputer Susan Dickey, Richard Kenner, Marc Snlr and Jon Solworth Computer Science Department Courant Institute of Mathemúal Sciences New York University Mercer Street New York, NY ABSTRACT The NYU Ultracomputer architecture, a shared memory MIMD parallel machine composed of thousands of.
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. Work with the NYU Ultracomputer project included: design of an efficient CMOS implementation of systolic queues using the NORA clocking methodology; production of a two-way combining Title: Retired Software Engineer.
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 implementation of a number of parallel. The NYU Ultracomputer project continues to pioneer the study of architecture and software for large-scale, shared-memory parallel computers.
During this past year, we have achieved several very significant milestones, most notably we fabricated and used that first-ever combining switches and we increased our industrial involvement.
More specifically, it is shown how a complete network of processors can deterministically simulate one PRAM step in O(log n/(log log n) 2) time when both models use n processors and the size of the PRAM's shared memory is polynomial in n.
(The best previously known upper bound was the trivial O(n)). A Cache Technique for Synchronization Variables in Highly Parallel, Shared Memory Systems by Wayne Berke Ultracomputer Note # December, Ultracomputer Research Laboratory New York University Courant Institute of Mathematical Sciences Division of Computer Science Mercer Street, New York, NY w^^Jm.
About NYU. Connecting talented and ambitious people in the world's greatest cities, our mission is to be a top quality institution. An overview of the NYU ultracomputer project. / Gottlieb, Allan.
Experimental parallel computing architectures. ed. / Jack J. Dongarra. North-Holland, p. In Networks-On-Chip, Message combination. Barrier synchronization is an important class of collective communication, in which a reduction operation is executed first, followed by a broadcast.
Gathering and broadcasting worms have been proposed .Many supercomputers, including the NYU Ultracomputer , CM-5 , Cray T3D , Blue Gene/L , and TianHe-1A , utilize.efEcient implementation of, as well as fair access to, binary semaphores. We also Propose t0 implement Fetch-and-Add with combining in software rather than hardware.
This allows an architecture to scale to a huge number of processors while avoiding the cost of hardware combining. Scenarios for common synchronization events such.