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2 edition of On predicting communication delay in distributed shared memory multiprocessors found in the catalog.

On predicting communication delay in distributed shared memory multiprocessors

Karim Harzallah

On predicting communication delay in distributed shared memory multiprocessors

a practical modelling methodology

by Karim Harzallah

  • 63 Want to read
  • 18 Currently reading

Published by University of Toronto, Dept. of Computer Science in Toronto .
Written in English


Edition Notes

Thesis (Ph.D.)--University of Toronto, 1996.

StatementKarim Harzallah.
The Physical Object
Pagination174 p.
Number of Pages174
ID Numbers
Open LibraryOL15457919M
ISBN 100612190048

First, an experimental evaluation shows that our analysis technique is accurate and efficient for a variety of shared-memory programs, including programs with large and/or complex task graphs, sophisticated task scheduling, highly nonuniform task times, and significant communication and resource contention. Distributed-memory multiprocessors usually have to perform interprocess communicaton by passing messages from one processor to another. Many techniques are known for programming shared-memory multiprocessors. Communication can be performed by simply writing to memory for the other processors to read.

by using the (hardware) shared memory available. It then follows that to achieve a single paradigm for both local and remote interprocess communication, DSM is the natural choice. 2 The Performance Challenge The cost of communication in a distributed memory environment is high relative to a shared memory machine. anism. Second, shared memory provides a natural communication abstraction well understood by most developers. Third, the shared memory organisation allows multithreaded or multiprocess applications developed for uniprocessors to run on shared-memory multiprocessors with minimal or .

  A performance prediction method is presented, which accurately predicts the expected program execution time on massively parallel systems. We consider distributed-memory architectures with SMD nodes and a fast communication network. The method is based on a relaxed task graph model, a queuing model, and a memory hierarchy model. Since the field of parallel architecture is such a large one, only distributed shared memory (DSM) multiprocessors will be focused on in this paper, with the emphasis being placed on the typical interconnection networks employed in this class of systems. Distributed shared memory machines are one of the prevalent types of shared memory machines.


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On predicting communication delay in distributed shared memory multiprocessors by Karim Harzallah Download PDF EPUB FB2

Dissertation: On Predicting Communication Delay in Distributed Shared Memory Multiprocessors: A Practical Modeling Methodology. Mathematics Subject Classification: 68—Computer science. Advisor: Kenneth Clem Sevcik.

No students known. In particular, memory has been physically distributed among processors, therefore reducing the memory access time for local accesses and increasing scalability. These parallel computers are referred to as distributed shared-memory multiprocessors (DSMs).

Accesses to remote memory are performed through an interconnection network, very much like. Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression which causes a significant routing or switching delay in the additional switching Gibbons, P., Gupta, A., & Hennessy, J.

Memory consistency and event ordering in scalable shared-memory multiprocessors. In Cited by:   This paper focuses on the energy/delay exploration of a distributed shared memory architecture, suitable for low-power on-chip multiprocessors based on NoC. A mechanism is proposed for the data allocation on the distributed shared memory space, dynamically managed by an on-chip hardware memory management unit (HwMMU).Cited by: A shared-memory multiprocessor is an architecture consisting of a modest number of processors, all of which have direct (hardware) access to all the main memory in the system (Fig.

).This permits any of the system processors to access data that any of the other processors has created or will use.

The key to this form of multiprocessor architecture is the interconnection network that. Algorithms Implementing Distributed Shared Memory Michael Stumm and Songnian Zhou University of Toronto raditionally, communication sage passing) communication system.

Shared memory multiprocessors • A system with multiple CPUs “sharing” the same main memory is called multiprocessor. • In a multiprocessor system all processes on the various CPUs share a unique logical address space, which is mapped on a physical memory that can be distributed.

delay neural network (TDNN) (Lang, 90) to learn and predict the memory access patterns of three parallelized scientific applications: a2-D relaxation algorithm, a matrix multiply, and a 1-D FFT.

The next section presents the environment of our experiment where we describe a shared memory multiprocessor model employing predic-tion units.

Coherence Communication Prediction in Shared-Memory Multiprocessors Stefanos Kaxiras and Cliff Young Bell Laboratories, Lucent Technologies {kaxiras,cyoung}@ Abstract—Sharing patterns in shared-memory multipro-cessors are the key to performance: uniprocessor latency-tolerating techniques such as out-of-order execution and.

This large memory will not incur disk latency due to swapping like in traditional distributed systems. Unlimited number of nodes can be used. Unlike multiprocessor systems where main memory is accessed via a common bus, thus limiting the size of the multiprocessor system.

Programs written for shared memory multiprocessors can be run on DSM systems. A shared-memory multiprocessor is a computer system composed of multiple independent processors that execute different instruction streams.

Using Flynns’s classification [ 1], an SMP is a multiple-instruction multiple-data (MIMD) processors share a common memory address space and communicate with each other via memory.

To obtain a uniform memory access pattern we propose a shared-memory architecture with a multibus ICN, with each logical memory connected to its own bus. Further, the PEs are provided with a set of cache memories connected to the buses, as illustrated in Figure Each cache memory is split into two parts, one of which is connected to the PE and the other to the memory.

software support to provide a shared memory programming model (i.e., distributed shared memory systems, DSMs) can be viewed as a logical evolution in parallel processing.

Distributed Shared Memory (DSM) systems aim to unify parallel processing systems that rely on message passing with the shared memory systems. The use of. – M. Stumm and S.

Zhou: Algorithms Implementing Distributed Shared Memory, IEEE Computer, ppMay Distributed Shared Memory • Shared memory: difficult to realize vs.

easy to program with. • Distributed Shared Memory (DSM): have collection of workstations share a single, virtual address space. • Vanilla implementation. REFERENCE Multi-Core Embedded Systems Edited by Georgios Kornaros CRC Press Pages 1–29 Print ISBN: eBook ISBN: DOI: /c1.

gorithm on distributed memory multiprocessors, that is, on a shared-nothing parallel machine, and analytically and empirically validate our parallelization strategy. Specifically, we propose a parallel version of the popular k-means clus-tering algorithm [31,13] based on the message-passing model of parallel com-puting [32,33].

a single shared memory, but in fact the physical memory is distributed (see Figure ). The main point of DSM is that it spares the programmer the concerns of message passing when writing applications that might otherwise have to use it.

2 Multicomputers and Multiprocessors n Multiprocessors (shared memory) u Any process can use usual load / store operations to access any memory word 8Complex hardware — bus becomes a bottleneck with more than CPUs 4Simple communication between processes — shared memory locations 4Synchronization is well-understood, uses classical techniques.

amount the hardware can delay an instruction without lengthening the critical path of the execution. While prior research has demonstrated that instruction criticality is an effective metric for uniprocessors, this paper is the first research to extend the fine-grain criticality model and analysis to shared memory multiprocessors.

Increases in on-chip communication delay and the large working sets of server and scientific workloads complicate the design of the on-chip last-level cache for multicore processors.

The large working sets favor a shared cache design that maximizes the aggregate cache capacity and minimizes off-chip memory requests.

Computer Architecture MCQs: Multiple Choice Questions and Answers (Quiz & Tests with Answer Keys) provides mock tests for competitive exams to solve MCQs. "Computer Architecture MCQ" PDF helps with fundamental concepts, analytical, and theoretical learning for self-assessment study skills.

Computer Architecture Quizzes, a quick study guide can help to learn and practice .Shared memory vs. message passing in shared-memory multiprocessors Abstract: It is argued that the choice between the shared-memory and message-passing models depends on two factors: the relative cost of communication and computation as implemented by the hardware, and the degree of load imbalance inherent in the application.Multiprocessors (1) A bus-based multiprocessor.

Essential characteristics for software design • fast and reliable communication (shared memory) => cooperation at ”instruction level” possible • bottleneck: memory (especially the ”hot spots”) Kangasharju: Distributed Systems Octo 08