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Tuesday, July 14, 2020 | History

2 edition of Software approaches to memory latency reduction for scalable shared-memory multiprocessors found in the catalog.

Software approaches to memory latency reduction for scalable shared-memory multiprocessors

Hui Li

Software approaches to memory latency reduction for scalable shared-memory multiprocessors

by Hui Li

  • 76 Want to read
  • 34 Currently reading

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


Edition Notes

Thesis (Ph.D.)--University of Toronto, 1995.

StatementHui Li.
The Physical Object
Pagination144 leaves.
Number of Pages144
ID Numbers
Open LibraryOL16863850M
ISBN 100612027961

Book: Introduction to Parallel Algorithms by Joseph JaJa Latency-Tolerant Software Distributed Shared Memory Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs A Scalable Processing-in-Memory . Parallel Programming Environments Introduction. To implement a parallel algorithm you need to construct a parallel program. The environment within which parallel programs are constructed is called the parallel programming mming environments correspond roughly to languages and libraries, as the examples below illustrate -- for example, HPF is a set of .

This paper "Memory Resource Management in VMware ESX Server", introduces the various mechanisms and policies that were used to manage memory in ESX server. ESX Server is a thin software layer, which virtulizes physical hardware so .   A parallel computing approach to this problem has led to develop a multithreaded application based upon a parallel algorithm that allows reducing processing time. The algorithm has been implemented on a shared memory multiprocessor machine, using ANSI C++ language and Posix Threads libraries, in order to exploit code portability.

Many future computers will be shared-memory multiprocessors. These hardware systems must define for software the allowable behavior of memory. A reasonable model is sequential consistency (SC), which makes a shared memory multiprocessor behave like a multiprogrammed uniprocessor. Since SC appears to limit. Applications based on parallel programming are fast, robust, and easily scalable. This updated edition features cutting-edge techniques for building effective concurrent applications in Python The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism.


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Software approaches to memory latency reduction for scalable shared-memory multiprocessors by Hui Li Download PDF EPUB FB2

On the other hand, shared-memory multiprocessors formed by connect- ing chips that integrate the processor, caches, coher- ence logic, switch and memory controller through a low-cost, low-latency. Dynamic Self-Invalidation: Reducing Coherence Overhead in Shared-Memory Multiprocessors Article (PDF Available) in ACM SIGARCH Computer.

performance bottlenecks on large-scale shared-memory multiprocessors a dissertation submitted to the department of electrical engineering and the committee on graduate studies of stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy robert c.

kunz december on Shared-Memory Multiprocessors. IEEE Transactions on Parallel and Distributed Systems, 5(4){, April Earlier version presented at Supercomputing ’ [58] J. Mellor-Crummey and M. Scott. Algorithms for Scalable Synchronization on Shared-Memory Multiprocessors. ACM Transactions on Computer Systems, 9(1){65, February Scott, S.

A Cache-Coherence Mechanism for Scalable Shared-Memory Multiprocessors. Proc. Int'l Symposium on Shared Memory Multiprocessing (April) Google Scholar; Scott, S.

Synchronization and Communication in the T3E Multiprocessor. Proc. Dimitrios S. Nikolopoulos, Theodore S. Papatheodorou, Constantine D.

Polychronopoulos, Jesús Labarta, Eduard Ayguadé, UPMLIB: A Runtime System for Tuning the Memory Performance of OpenMP Programs on Scalable Shared-Memory Multiprocessors, Selected Papers from the 5th International Workshop on Languages, Compilers, and Run-Time Cited by: Efficient shared-memory support for parallel graph reduction.

The average latency of shared-memory accesses is therefore greater than necessary, resulting in extended execution times.

(Eds.), Workshop on Scalable Shared Memory Multiprocessors (Seattle), Kluwer Academic Publishers, Cambridge, MA USA (), pp. Google Cited by: 4. Shared memory is expected to be much faster than global memory as mentioned in Thread Hierarchy and detailed in Shared Memory.

It can be used as scratchpad memory (or software managed cache) to minimize global memory accesses from a CUDA block as illustrated by the following matrix multiplication example. Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously.

Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

Full text of "DTIC ADA Internationnal Conference on Software for Multiprocessors and Supercomputers Theory, Practice, Experience (2nd) Held in Moscow on September 19 - 23, " See other formats.

“Parallel Data mining for Association Rules on Shared Memory Multiprocessors” by Zaki et al. indescribes a parallel approach to data mining on shared memory multiprocessors, which is yet another hash-based approach.

The contribution of the present report included optimization of joining, pruning, balancing of hash trees and concluded Cited by: For shared-memory communication, the advan-tages include Compatibility with the well-understood mechanisms in use in centralized multiprocessors, which all use shar ed-memory communication.

The OpenMP consortium (see for description) has proposed a standard-ized programming interface for shared-memory multiprocessors. Although. While the public is well aware of the great strides made in recent decades in the areas of microprocessor and memory performance, HDD technology has been advancing at an even faster pace in some respects ().Microprocessors have shown a 30 percent increase in clock speed and a 45 percent increase in MIPS (million instructions per second) per year over two decades.

In computer science, consistency models are used in distributed systems like distributed shared memory systems or distributed data stores (such as a filesystems, databases, optimistic replication systems or web caching).The system is said to support a given model if operations on memory follow specific rules.

The data consistency model specifies a contract between. RCL optimization algorithms. Let there is multi-core CS with shared memory, including N processor cores: P = 1, 2,er system has hierarchical structure, which can be described as a tree, comprising L levels Fig. Each level of the system is represented by individual type of structural elements of CS (NUMA-nodes, processor cores and multilevel Author: Alexey Paznikov.

latency capacity copy instructions implementation multiprocessor partitioning organization sum modified Post a Review You can write a book review and share your experiences.

Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not. Using destination-set prediction to improve the latency/bandwidth tradeoff in shared-memory multiprocessors Milo M.

Martin, Pacia J. Harper, Daniel J. Sorin, Mark D. Hill, David A. Wood ISCA '03 Proceedings of the 30th annual international symposium on Computer architecture, C. K Luk, "Tolerating memory latency through software-controlled pre-execution in simultaneous multithreading processors," ISCA C.

Zilles and G. Sohi, “Understanding the backward slices of performance degrading instructions,” ISCA Cooperative Shared Memory: Software and Hardware for Scalable Multiprocessors, Mark D. Hill, James R. Larus, Steven K. Reinhardt, and David A. Wood, International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), October Recommended for ACM Transactions on Computer Systems (TOCS), November Conference Papers "A pJ/Op, TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm.".

Software related to Shared Memory Models. We have been active in developing prototype software that helps explore shared memory consistency issues (also known as memory ordering issues, or formal memory models). A collection of tools appears here. MultiProcessor Execution Checker (MPEC).You can write a book review and share your experiences.

Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them., Free ebooks since A method and an apparatus for reconciling communication and locality by enabling a user/programmer to write programs in an extended procedural language which explicitly manipulate locality.

The multiprocessor includes a plurality of processing elements connected to each other each processing element having a unique address and including a central Cited by: