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Hardware
Accurate Automation Corporation has designed and produced a line hardware, the Neural Network Processor (NNP®), that provides true MIMD processing for the fastest possible network training, evaluation, and implementation.
The heart of the NNP family is the MIMD Neural Network Processor, which provides the basic unit of processing. Multiple NNPs can operate in parallel through a unique bus and connector design.
PCI, ISA, and VME busses are supported with interface boards that have up to two built in NNPs. Additional NNPs can be stacked on the baseboard. The VME board includes two TMS320C40 DSP Chips.
The boards are supported on a variety of PC and SGI platforms.
NNP Features
True Multiple Instruction-Multiple Data (MIMD) architecture
NNPs Stack to Max of 10 Processors
8,192 Neurons per system
32,768 Connections per processor
32 million multiply-accumulate cycles per second per processor
Unique Neural Network Processor Language; neural network tools and compiler provided with the NNP.
Program and run standard paradigms or your own unique paradigm
Powerful architecture concept that avoids memory bottlenecks.
System Requirements
The following hardware platforms are supported:
- PC Platforms running Windows 98 or NT 4.0:
- PC with ISA Bus
- PC with PCI Bus
- Silicon Graphics Platforms running IRIX 5.2 and above:
- Indy using Bit3 Corporation GIO32 to VME bus adaptor
- Indigo using Bit3 Corporation GIO32 to VME bus adaptor
- Indigo 2 using internal EISA bus
- Onyx using internal VME bus
- Power Series with single IO3 board using internal VME bus
- VME
- VME 6U dual TMS320C40 DSP card with the ability to support one to four Neural Network Processors
Support Software
Accurate Automation Corporation's programming tools include an assembler, linker, debugger, and diagnostics program that allow users to quickly design and use networks on the NNP.
Accurate Automation Corporation's Neural Network Tools NNPTools™ allows rapid prototyping of neural network solutions and integration in real-world applications. The NNPTools supports a variety of paradigms trained with supervised and/or unsupervised training algorithms.
Applications
Neural Networks Processors are being used to speedily solve difficult problems in many areas. Some current applications of the NNP include:
- Flight Control
- Financial Predictions
- Intelligent Modems
- Medical Image Classification
- On-Line Learning
- Robot Control
- Satellite Communications
- Signal Processing
- University AI Research
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