Affiliation:
1. Colorado State University, CO, USA
2. Broadcom Ltd., Colorado Springs, USA
Abstract
On-chip communication is widely considered to be one of the major performance bottlenecks in contemporary chip multiprocessors (CMPs). With recent advances in silicon nanophotonics, photonics-based network-on-chip (NoC) architectures are being considered as a viable solution to support communication in future CMPs as they can enable higher bandwidth and lower power dissipation compared to traditional electrical NoCs. In this article, we present
SwiftNoC
, a novel reconfigurable silicon-photonic NoC architecture that features improved multicast-enabled channel sharing, as well as dynamic re-prioritization and exchange of bandwidth between clusters of cores running multiple applications, to increase channel utilization and system performance. Experimental results show that
SwiftNoC
improves throughput by up to 25.4× while reducing latency by up to 72.4% and energy-per-bit by up to 95% over state-of-the-art solutions.
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Cited by
27 articles.
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1. Routing and Wavelength Assignment for Multiple Multicasts in Optical Network-on-Chip (ONoC);IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12
2. Design of Sparsity Optimized Photonic Deep Learning Accelerators;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-10
3. Co-designing Photonic Accelerators for Machine Learning on the Edge;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-10
4. Photonic NoCs for Energy-Efficient Data-Centric Computing;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01
5. Light Speed Machine Learning Inference on the Edge;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01