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Finding shuffle words that represent optimal scheduling of shared memory access This item was submitted to Loughborough University’s Institutional Repository by the/an author.

are of primary importance. We attack the prob-lem ofWCET analysis for several processing units access-ing a shared resource (the main memory) by support from the hardware. In this paper, we combine a time predictable Java processor and a direct memory access (DMA) unit with a regular access pattern (VGA

Scalable shared-memory multiprocessors distribute memory among the processors and use scalable interconnection networks to provide high bandwidth and low latency communication. In addition, memory accesses are cached, buffered, and pipelined to bridge the gap between the slow shared memory

This paper describes an enhancement to the Catamount lightweight kernel for direct shared memory access between processes running on a multi-core processor as part of a parallel application. Unlike traditional shared memory support for interprocess communication, which involves dynamic memory

Abstract. We present three explicit schemes for distributing M variables among N memory modules, where M = �(N 1.5), M = �(N 2), and M = �(N 3), respectively. Each variable is replicated into a constant number of copies stored in distinct modules. We show that N processors, directly accessing

changes to the basic structure of objects in the heap. However, these implementations perform poorly because they interpose on all accesses to shared memory in the atomic block, redirecting updates to a thread-private log which must be searched by reads in the block and later reconciled with the heap when

when we use it as a shared memory. As a result, we can show the performance of the proposed method to access the shared memory on photonic networks. 1.

ag variables, and for some other processor to terminate the spin with a single remote write operation at an appropriate time. Flag variables may be locally-accessible as a result of coherent caching, or by virtue of allocation in the local portion of physically distributed shared memory. We present a

We present an explicit memory organization scheme for distributing hl data items among N memory modules where M 6