Balancing On-Chip Network Latency in Multi-Application Mapping for Chip-Multiprocessors

As the number of cores continues to grow in chip multiprocessors (CMPs), application-to-core mapping algorithms that leverage the non-uniform on-chip resource access time have been receiving increasing attention. However, existing mapping methods for reducing overall packet latency cannot meet the requirement of balanced on-chip latency when multiple applications are present. In this paper, we address the looming issue of balancing minimized on-chip packet latency with performance-awareness in the multi-application mapping of CMPs. Specifically, the proposed mapping problem is formulated, its NP-completeness is proven, and an efficient heuristic-based algorithm for solving the problem is presented. Simulation results show that the proposed algorithm is able to reduce the maximum average packet latency by 10.42% and the standard deviation of packet latency by 99.65% among concurrently running applications and, at the same time, incur little degradation in the overall performance.