Fpga And Cell Processor Performance Optimization For Brain State In A Box Bsb Cognitive Computing
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Fpga And Cell Processor Performance Optimization For Brain State In A Box Bsb Cognitive Computing
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Author :
language : en
Publisher:
Release Date : 2007
Fpga And Cell Processor Performance Optimization For Brain State In A Box Bsb Cognitive Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
On Large Scale Hybrid Computing Architecture For Neocortical Models With An Application In Realizing Cognizance Operations Of The Visual Cortex
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Author :
language : en
Publisher:
Release Date : 2008
On Large Scale Hybrid Computing Architecture For Neocortical Models With An Application In Realizing Cognizance Operations Of The Visual Cortex written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
This report describes working hardware and software developed to realize large-scale Brain-State-in-a-Box (BSB) models on a workstation with hardware acceleration using a Field Programmable Gate Array (FPGA). Just one Xilinx XC2VP70 FPGA was able to support about 600 128-dimensional BSB models to run at 10ms reaction time. Software was developed that controls the hardware operations and sends/receives data through publish/subscribe routines provided by an open-source package. Next, the confabulation based knowledge base training function on the Cell Broadband Engine (CBE) was implemented. The workload of the training function was distributed to 6 Synergistic Processing Elements (SPEs) in the Cell processor. Dynamic memory management techniques were developed to enable the SPE to load and write back information from/to the main memory during the training process. Preliminary software profiling was performed to indicate the performance bottleneck and guide the software optimization. The Cell-based implementation achieved 4X~9X speedups comparing to traditional processors.
Fpga Based Hardware Acceleration For Brain State In A Box Models In Neoromorphic Computing
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Author : Siva Aneesh Gadela
language : en
Publisher: ProQuest
Release Date : 2008
Fpga Based Hardware Acceleration For Brain State In A Box Models In Neoromorphic Computing written by Siva Aneesh Gadela and has been published by ProQuest this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.