1989Unpublished venueOpen access

Parallel compilation for a parallel machine

Thomas R. Gross, A. Sobel, M. Zolg

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Abstract

An application for a parallel computer with multiple, independent processors often includes different programs (functions) for the individual processors; compilation of such functions can proceed independently. We implemented a compiler that exploits this parallelism by partitioning the input program for parallel translation. The host system for the parallel compiler is an Ethernet-based network of workstations, and different functions of the application program are compiled in parallel on different workstations. For typical programs in our environment, we observe a speedup ranging from 3 to 6 using not more than 9 processors. The paper includes detailed measurements for this parallel compiler; we report the system overhead, implementation overhead, as well as the speedup obtained when compared with sequential compilation.

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What this paper is about

An application for a parallel computer with multiple, independent processors often includes different programs (functions) for the individual processors; compilation of such functions can proceed independently. We implemented a compiler that exploits this parallelism by partitioning the input program for parallel translation. The host system for the parallel compiler is an Ethernet-based network of workstations, and different functions of the application program are compiled in parallel on different workstations. For typical programs in our environment, we observe a speedup ranging from 3 to 6 using not more than 9 processors. The paper includes detailed measurements for this parallel compiler; we report the system overhead, implementation overhead, as well as the speedup obtained when compared with sequential compilation.

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Available abstract

An application for a parallel computer with multiple, independent processors often includes different programs (functions) for the individual processors; compilation of such functions can proceed independently. We implemented a compiler that exploits this parallelism by partitioning the input program for parallel translation. The host system for the parallel compiler is an Ethernet-based network of workstations, and different functions of the application program are compiled in parallel on different workstations. For typical programs in our environment, we observe a speedup ranging from 3 to 6 using not more than 9 processors. The paper includes detailed measurements for this parallel compiler; we report the system overhead, implementation overhead, as well as the speedup obtained when compared with sequential compilation.

Key concepts: Computer science, Speedup, Compiler, Parallel computing, Workstation, Overhead (engineering), Parallelism (grammar), Host (biology)

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