NDLI: Distributed filaments: efficient fine-grain parallelism on a cluster of workstations

Content Provider	ACM Digital Library
Author	Andrews, Gregory R. Lowenthal, David K. Freeh, Vincent W.
Abstract	A fine-grain parallel program is one in which processes are typically small ranging from a few to a few hundred instructions. Fine-grain parallelism arises naturally in many situations such as iterative grid computations recursive fork/join programs the bodies of parallel FOR loops and the implicit parallelism in functional or dataflow languages. It is useful both to describe massively parallel computations and as a target for code generation by compilers. However fine-grain parallelism has long been thought to be inefficient due to the overheads of process creation context switching, and synchronization. This paper describes a software kernel. Distributed Filaments (DF) that implements fine-grain parallelism both portably and efficiently on a workstation cluster DF runs on existing off-the-shelf hardware and software. It has a simple interface so it is easy to use. DF achieves e ciency by using stateless threads on each node overlapping communication and computation, employing a new reliable datagram communication protocol and automatically balancing the work generated by fork/join computations.
File Format	PDF
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1994-11-14
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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Distributed filaments: efficient fine-grain parallelism on a cluster of workstations