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Exploiting parallelism for the performance enhancement of non-numeric applications

David J. DeWitt, Dina Friedland

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Abstract

In this paper we examine the design of computer architectures that use parallelism to enhance the performance of non-numeric applications. In particular we examine how the technology of mass-storage devices has affected the design of computer architectures for non-numeric processing.

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What this paper is about

In this paper we examine the design of computer architectures that use parallelism to enhance the performance of non-numeric applications. In particular we examine how the technology of mass-storage devices has affected the design of computer architectures for non-numeric processing.

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Available abstract

In this paper we examine the design of computer architectures that use parallelism to enhance the performance of non-numeric applications. In particular we examine how the technology of mass-storage devices has affected the design of computer architectures for non-numeric processing.

Key concepts: Computer science, Parallelism (grammar), Parallel computing, Task parallelism, Data parallelism, Computer architecture, Instruction-level parallelism, Parallel processing

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