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ACM SIGARCH Computer Architecture News - Special issue: dasCMP'05
The BlackWidow High-Radix Clos Network
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Design tradeoffs for tiled CMP on-chip networks
Proceedings of the 20th annual international conference on Supercomputing
Distributed Microarchitectural Protocols in the TRIPS Prototype Processor
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
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Flattened Butterfly Topology for On-Chip Networks
Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture
Proceedings of the 41st annual IEEE/ACM International Symposium on Microarchitecture
Firefly: illuminating future network-on-chip with nanophotonics
Proceedings of the 36th annual international symposium on Computer architecture
Firefly: illuminating future network-on-chip with nanophotonics
Proceedings of the 36th annual international symposium on Computer architecture
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
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Proceedings of the 2013 Interconnection Network Architecture: On-Chip, Multi-Chip
Designing on-chip networks for throughput accelerators
ACM Transactions on Architecture and Code Optimization (TACO)
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Sharing on-chip network resources efficiently is critical in the design of a cost-efficient network on-chip (NoC). Concentration has been proposed for on-chip networks but the trade-off in concentration implementation and performance has not been well understood. In this paper, we describe cost-efficient implementations of concentration and show how external concentration provides a significant reduction in complexity (47% and 36% reduction in area and energy, respectively) compared to previous assumed integrated (high-radix) concentration while degrading overall performance by only 10%. Hybrid implementations of concentration is also presented which provide additional tradeoff between complexity and performance. To further reduce the cost of NoC, we describe how channel slicing can be used together with concentration. We propose virtual concentration which further reduces the complexity - saving area and energy by 69% and 32% compared to baseline mesh and 88% and 35% over baseline concentrated mesh.