Adaptive data compression for high-performance low-power on-chip networks Conference Paper uri icon

abstract

  • 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. In this paper, we exploit 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. First, we propose a shared table scheme that needs one encoding and one decoding tables for each processing element, and a management protocol that does not require in-order delivery. Next, we present streamlined encoding that combines flit injection and encoding in a pipeline. Furthermore, data compression can be selectively applied to communication on congested paths only if compression improves performance. Simulation results in a 16-core CMP show that our compression method improves the packet latency by up to 44% with an average of 36% and reduces the network power consumption by 36% on average. © 2008 IEEE.

name of conference

  • 2008 41st IEEE/ACM International Symposium on Microarchitecture (MICRO)

published proceedings

  • 2008 41st IEEE/ACM International Symposium on Microarchitecture

author list (cited authors)

  • Yuho Jin, .., Yum, K. H., & Kim, E. J.

citation count

  • 30

complete list of authors

  • Yum, Ki Hwan||Kim, Eun Jung

publication date

  • November 2008

publisher