Data Distribution Schemes of Sparse Arrays on Distributed Memory Multicomputers

A data distribution scheme of sparse arrays on a distributed memory multicomputer, in general, is composed of three phases, data partition, data distribution, and data compression. To implement the data distribution scheme, methods proposed in the literature first perform the data partition phase, then the data distribution phase, followed by the data compression phase. We called this scheme as Send Followed Compress (SFC) scheme. In this paper, we propose two other data distribution schemes, Compress Followed Send (CFS) and Encoding-Decoding (ED), for sparse array distribution. In the CFS scheme, the data compression phase is performed before the data distribution phase. In the ED scheme, the data compression phase can be divided into two steps, encoding and decoding. The encoding step and the decoding step are performed before and after the data distribution phase, respectively. To evaluate the CFS and the ED schemes, we compare them with the SFC scheme. Both theoretical analysis an...

• Type: Conference
• Year: 2002
• Where: ICPPW
• Authors: Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
• Keywords: Data Compression, Data Distribution, Data Distribution Schemes, ICPPW 2002