PDNOC: An Efficient Partially Diagonal Network-on-Chip Design
: Thomas Canhao Xu, Ville Leppänen, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
: Roman Wyrzykowski, Jack Dongarra, Konrad Karczewski, Jerzy Waśniewski
: Parallel Processing and Applied Mathematics
Publisher: Springer
: 2014
: Lecture Notes in Computer Science
: Parallel Processing and Applied Mathematics
: LNCS
: 8384
: 513
: 522
: 10
: 978-3-642-55223-6
: 0302-9743
DOI: https://doi.org/10.1007/978-3-642-55224-3_48
With the constantly increasing of number of cores in multicore processors, more emphasis should be paid to the on-chip interconnect. Performance and power consumption of an on-chip interconnect are directly affected by the network topology. The efficiency can also be optimized by proper mapping of applications. Therefore in this paper, we propose a novel Partially Diagonal Network-on-Chip (PDNOC) design that takes advantage of both heterogeneous network topology and congestionaware application mapping. We analyse the partially diagonal network in terms of area usage, power consumption, routing algorithm and implementation complexity. The key insight that enables the PDNOC is that most communication patterns in real-world applications are hot-spot and bursty. We implement a full system simulation environment using SPLASH-2 benchmarks. Evaluation results shown that, the proposed PDNOC provides up to 25% improvement in execution time over concentrated mesh, and 3.6x better energy delay product over fully connected diagonal network.