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Software Write Detection for a Distributed Shared Memory

Matthew J. Zekauskas and Wayne A. Sawdon
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213

Brian N. Bershad
Department of Computer Science and Engineering FR-35
University of Washington
Seattle, WA 98185


Most software-based distributed shared memory (DSM) systems rely on the operating system's virtual memory interface to detect writes to shared data. Strategies based on virtual memory page protection create two problems for a DSM system. First, writes can have high overhead since they are detected with a page fault. As a result, a page must be written many times to amortize the cost of that fault. Second, the size of a virtual memory page is too big to serve as a unit of coherency, inducing false sharing. Mechanisms to handle false sharing can increase runtime overhead and may cause data to be unnecessarily communicated between processors.

In this paper, we present a new method for write detection that solves these problems. Our method relies on the compiler and runtime system to detect writes to shared data without invoking the operating system. We measure and compare implementations of a distributed shared memory system using both strategies, virtual memory and compiler/runtime, running a range of applications on a small scale distributed memory multicomputer. We show that the new method has low average write latency and supports fine-grained sharing with low overhead. Further, we show that the dominant cost of write detection with either strategy is due to the mechanism used to handle fine-grain sharing.

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