Biologically-Inspired Massively Parallel Architectures - computing beyond a million processors
Lead Research Organisation:
University of Cambridge
Department Name: Computer Science and Technology
Abstract
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People |
ORCID iD |
Simon Moore (Principal Investigator) | |
Robert Mullins (Co-Investigator) |
Publications
Zaidi A
(2015)
Value State Flow Graph A Dataflow Compiler IR for Accelerating Control-Intensive Code in Spatial Hardware
in ACM Transactions on Reconfigurable Technology and Systems
Watts P
(2012)
Energy Implications of Photonic Networks With Speculative Transmission
in Journal of Optical Communications and Networking
Theodore Markettos A
(2014)
Interconnect for commodity FPGA clusters: Standardized or customized?
Philip Watts (Author)
(2011)
Requirements of low power photonic networks for Distributed Shared Memory computers
Naylor M
(2013)
A spiking neural network on a portable FPGA tablet
Naylor M
(2014)
Rapid codesign of a soft vector processor and its compiler
Greenfield D
(2009)
Implications of Electronics Technology Trends for Algorithm Design
in The Computer Journal
Fox P
(2014)
Reliably prototyping large SoCs using FPGA clusters
Description | There were many findings including: * Award winning work on "Communication Locality in Computation: Software, Chip Multiprocessors and Brains" that won the UK Distinguished dissertation prize. * Implications of Electronics Technology Trends to Algorithm Design * Interconnect for commodity FPGA clusters: standardized or customized? * Reliably Prototyping Large SoCs Using FPGA Clusters * Managing the FPGA Memory Wall: custom computing or vector processing? * Bluehive - A Field-Programmable Custom Computing Machine for Extreme-Scale Real-Time Neural Network Simulation * Rapid codesign of a soft vector processor and its compiler |
Exploitation Route | The papers produced on this project already have hundreds of citations, so we definitely influenced related research. |
Sectors | Digital/Communication/Information Technologies (including Software) |
URL | http://www.cl.cam.ac.uk/research/comparch/research/bimpa.html |
Description | Programme Grant |
Amount | £4,981,302 (GBP) |
Funding ID | EP/N031768/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2016 |
End | 11/2021 |
Description | BIMPA partners |
Organisation | University of Manchester |
Department | Materials Performance Centre |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Massively parallel computer architecture for neuronal systems |
Collaborator Contribution | Extensive collaboration on computer architectures and algorithms to describe massively parallel neuronal systems. |
Impact | Research papers. |
Start Year | 2009 |
Description | BIMPA partners |
Organisation | University of Sheffield |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Massively parallel computer architecture for neuronal systems |
Collaborator Contribution | Extensive collaboration on computer architectures and algorithms to describe massively parallel neuronal systems. |
Impact | Research papers. |
Start Year | 2009 |
Description | BIMPA partners |
Organisation | University of Southampton |
Department | School of Electronics and Computer Science Southampton |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Massively parallel computer architecture for neuronal systems |
Collaborator Contribution | Extensive collaboration on computer architectures and algorithms to describe massively parallel neuronal systems. |
Impact | Research papers. |
Start Year | 2009 |