Analysis of Photonic Networks for a Chip Multiprocessor Using Scientific Applications
Abstract
As multiprocessors scale to unprecedented numbers of cores in order to sustain performance growth, it is vital that these gains are not nullified by high energy consumption from inter-core communication. With recent advances in 3D Integration CMOS technology, the possibility for realizing hybrid photonic-electronic networks-on-chip warrants investigating real application traces on functionally comparable photonic and electronic network designs. We present a comparative analysis using both synthetic benchmarks as well as real applications, run through detailed cycle accurate models implemented under the OMNeT++ discrete event simulation environment. Results show that when utilizing standard process-to-processor mapping methods, this hybrid network can achieve 75 improvement in energy efficiency for synthetic benchmarks and up to 37 improvement for real scientific applications, defined as network performance per energy spent, over an electronic mesh for large messages across a variety of communication patterns.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2009
- Accession Number
- ADA630713
Entities
People
- Aleksandr Biberman
- Ankit Jain
- Benjamin G Lee
- Gilbert Hendry
- John Kubiatowicz
- Johnnie Chan
- Keren Bergman
- Luca P. Carloni
- Marghoob Mohiyuddin
- Shoaib Kamil
Organizations
- Columbia University