Abstract—We report the progress in the development of an Operand Routing Network (ORN) for an SFQ Reconfigurable Data-Paths processor (SFQ-RDP). The SFQ-RDP is implemented as a two-dimensional array of Floating-Point Units (FPU), outputs of which can be connected to the inputs of one or more FPUs in the next row via ORN. We have considered two architectures of the ORN: one is based on NDRO switches and the other—on crossbar switches. The comparison shows that the crossbar-based ORN has better performance due to the regular pipelined structure. We have designed a crossbar switch with a multicasting function and a 1-to-2 ORN prototype for 2.5 process. The circuits have been experimentally tested at the frequencies up to 36 GHz. Index Term...
A novel idea presented in this paper is to combine multihop routing with single-frequency networks (...
Random neural network (RNN) is an analytically tractable spiked neural network model that has been i...
Abstract Modern processors rely heavily on broadcast networks to bypass instruction results todepend...
AbstractWe have previously proposed a clock distribution and data synchronization scheme to address ...
Dedicated tools for placing and routing data flow graphs extracted from computation-intensive applic...
the 24th Canadian Conference on Electrical and Computer Engineering (CCECE 2011) : Niagara Falls, On...
We propose a desk-side supercomputer with large-scale reconfigurable data-paths (LSRDPs) using super...
3rd Asia Symposium on Quality Electronic Design : July 19-20, 2011 : Kuala Lumpur, MalaysiaSingle-Fl...
Introduction / Large-Scale Reconfigurable Data-Path (LSRDP) General Architecture and Specifications ...
This conference paper was presented in the 27th IEEE International Conference on Advanced Informatio...
Abstract — To overcome issues originating from the CMOS technology, a large-scale reconfigurable dat...
Floating-point operations are complex, they are both power and area intensive. The performance of fl...
This article was published in the Journal of Parallel and Distributed Computing [© 2014 Elsevier Inc...
The Fibre Distributed Data Interface (FDDI) represents the new generation of local area networks (LA...
Random neural network (RNN) is an analytically tractable spiked neural network model that has been i...
A novel idea presented in this paper is to combine multihop routing with single-frequency networks (...
Random neural network (RNN) is an analytically tractable spiked neural network model that has been i...
Abstract Modern processors rely heavily on broadcast networks to bypass instruction results todepend...
AbstractWe have previously proposed a clock distribution and data synchronization scheme to address ...
Dedicated tools for placing and routing data flow graphs extracted from computation-intensive applic...
the 24th Canadian Conference on Electrical and Computer Engineering (CCECE 2011) : Niagara Falls, On...
We propose a desk-side supercomputer with large-scale reconfigurable data-paths (LSRDPs) using super...
3rd Asia Symposium on Quality Electronic Design : July 19-20, 2011 : Kuala Lumpur, MalaysiaSingle-Fl...
Introduction / Large-Scale Reconfigurable Data-Path (LSRDP) General Architecture and Specifications ...
This conference paper was presented in the 27th IEEE International Conference on Advanced Informatio...
Abstract — To overcome issues originating from the CMOS technology, a large-scale reconfigurable dat...
Floating-point operations are complex, they are both power and area intensive. The performance of fl...
This article was published in the Journal of Parallel and Distributed Computing [© 2014 Elsevier Inc...
The Fibre Distributed Data Interface (FDDI) represents the new generation of local area networks (LA...
Random neural network (RNN) is an analytically tractable spiked neural network model that has been i...
A novel idea presented in this paper is to combine multihop routing with single-frequency networks (...
Random neural network (RNN) is an analytically tractable spiked neural network model that has been i...
Abstract Modern processors rely heavily on broadcast networks to bypass instruction results todepend...
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