Adaptive Data Compression for High-Performance Low-Power On-Chip Networks

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Executive Summary

With the recent design shift towards increasing the number of processing elements in a chip, high-bandwidth support in on-chip interconnect is essential for low-latency communication. Much of the previous work has focused on router architectures and network topologies using wide/long channels. However, such solutions may result in a complicated router design and a high interconnect cost. This paper exploits a table-based data compression technique, relying on value patterns in cache traffic. Compressing a large packet into a small one can increase the effective bandwidth of routers and links, while saving power due to reduced operations. The main challenges are providing a scalable implementation of tables and minimizing overhead of the compression latency.

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