SCHEDULE: NOV 10-16, 2012
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Beyond von Neumann With a 1 Million Element Massively Parallel Cognitive Memory
SESSION: Memory Systems
EVENT TYPE: Exhibitor Forums
TIME: 4:00PM - 4:30PM
Presenter(s):Bruce McCormick
ROOM:155-C
ABSTRACT:
Presentation details a demonstrable & scalable pattern recognition system solution ("Beyond"). It is based on 1000 chips connected in parallel. Each chip integrates 1024 fully parallel and general purpose pattern recognition & machine learning memory processing elements. These 1 million memory processing elements are non- linear classifiers (kNN and Radial Basis Functions) implemented as a 3 layer network. The system provides a constant 10usec latency of fuzzy or exact vector comparison of 1 versus up to 1 million 256 byte vectors offering equivalent of .13 petaops of performance at a miserly 250 watts. It eliminates the bottleneck in traditional von Neumann architectures between processing and memory.
Applications range from DNA, iris, fingerprint, hash matching to scientific modeling, video analytics & data mining including techniques such as anomaly detection, clustering, sorting, general-purpose pattern recognition and more. Green Graph 500 benchmark will be verified and presented.
Chair/Presenter Details:
Bruce McCormick - Cognimem Technologies, Inc.
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Beyond von Neumann With a 1 Million Element Massively Parallel Cognitive Memory
SESSION: Memory Systems
EVENT TYPE:
TIME: 4:00PM - 4:30PM
Presenter(s):Bruce McCormick
ROOM:155-C
ABSTRACT:
Presentation details a demonstrable & scalable pattern recognition system solution ("Beyond"). It is based on 1000 chips connected in parallel. Each chip integrates 1024 fully parallel and general purpose pattern recognition & machine learning memory processing elements. These 1 million memory processing elements are non- linear classifiers (kNN and Radial Basis Functions) implemented as a 3 layer network. The system provides a constant 10usec latency of fuzzy or exact vector comparison of 1 versus up to 1 million 256 byte vectors offering equivalent of .13 petaops of performance at a miserly 250 watts. It eliminates the bottleneck in traditional von Neumann architectures between processing and memory.
Applications range from DNA, iris, fingerprint, hash matching to scientific modeling, video analytics & data mining including techniques such as anomaly detection, clustering, sorting, general-purpose pattern recognition and more. Green Graph 500 benchmark will be verified and presented.
Chair/Presenter Details:
Bruce McCormick - Cognimem Technologies, Inc.
Click here to download .ics calendar file