Architectural Support and Mechanisms for Object Caching in Dynamic Multithreaded Computations

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Abstract

High-level parallel programming models supporting dynamic fine-grained threads in a global object space are becoming increasingly popular for expressing irregular applications based on sophisticated adaptive algorithms and pointer-based data structures. However, implementing these multithreaded computations on scalable parallel machines poses significant challenges, particularly with respect to object caching. Object caching techniques must be able to tolerate unresponsive processors and protocol handler occupancy delays. This paper examines whether these challenges can be offset by leveraging responsive general-purpose communication architectural features (such as remote memory access and atomic operations), possibly compensating for the lack of more sophisticated hardware primitives by relying upon increased involvement of the run-time system and the compiler. A detailed performance analysis of four irregular applications, using the Illinois Concert System on the Cray T3D and the SGI Origin 2000, finds that existing software distributed shared memory (DSM) systems are capable of delivering good performance only in the presence of a high level of responsive communication architecture support (specifically, support for remote atomic operations). Recognizing that this situation stems from the synchronous request-reply nature of DSM protocols, we present a composable object caching framework, called view caching, which exploits knowledge of application data access semantics to construct custom protocols that require reduced processor synchronization. View caching protocols are more tolerant to responsiveness and occupancy delays and are able to exploit even lower level responsive communication primitives (such as nonatomic remote memory accesses) for a performance benefit. © 1999 Academic Press.

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APA

Karamcheti, V., & Chien, A. A. (1999). Architectural Support and Mechanisms for Object Caching in Dynamic Multithreaded Computations. Journal of Parallel and Distributed Computing, 58(2), 260–300. https://doi.org/10.1006/jpdc.1999.1555

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