Text compression
Parallel programming in Split-C
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Arithmetic coding for data compression
Communications of the ACM
Active Messages: a Mechanism for Integrated Communication and
Active Messages: a Mechanism for Integrated Communication and
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The paper reports the effect of compressed message delivery (a compression network) on a parallel processing system such as workstation clusters. Compression network is simulated on a massively parallel processor, the Thinking Machines CM-5, using the parallel language Split-C. To examine the benefit of data compression to the system, profiles, including message pattern, number of messages, and message size, are measured by simulation. The results indicate that compression increases the network bandwidth. A theoretical compression ratio of about a half was estimated for almost all messages. Network bandwidth can be efficiently doubled using data compression.