Title :
Network-on-Chip with Long-Range Wireless Links for High-Throughput Scientific Computation
Author :
Majumder, Turbo ; Pande, Partha Pratim ; Kalyanaraman, Ananth
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
Several emerging application domains in scientific computing demand high computation throughputs to achieve terascale or higher performance. Dedicated centers hosting scientific computing tools on a few high-end servers could rely on hardware accelerator co-processors that contain multiple lightweight custom cores interconnected through an on-chip network. While network-on-chip (NoC) driven platforms have been studied in the context of accelerating individual applications, this work studies the efficacy of NoC-based platforms to enhance overall computation throughput in the presence of several concurrently executing jobs. Use of long-range links has been shown to reduce network diameter and we use this property in conjunction with different resource allocation strategies to deliver high throughput. Our experiments using a computational biology application suite as a demonstration study show that the use of long-range wireless shortcuts coupled with the appropriate resource allocation strategy delivers computation throughput over 1011 operations per second, consuming ~0.5 nJ per operation.
Keywords :
coprocessors; network servers; network-on-chip; resource allocation; NoC; computational biology; hardware accelerator co-processors; high-end servers; high-throughput scientific computation; long-range wireless links; multiple lightweight custom cores; network diameter; network-on-chip; resource allocation; Computational modeling; Multicore processing; Resource management; System-on-chip; Throughput; Wireless communication; Network-on-chip; computation throughput; long-range links; multicore;
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-4979-8
DOI :
10.1109/IPDPSW.2013.72