Quadric Publishes Paper on GPNPU General-Purpose Neural Processor Architecture
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Quadric proposes a General Purpose Neural Processor (GPNPU) architecture in an IEEE paper. Delivered as licensable IP, the architecture is a single programmable processor design that unifies scalar, vector, and matrix execution into one ISA (instruction set architecture), and provides a unified C++/Python programming model, targeting workloads such as generative AI on a single architecture. The main source of facts for this event is the paper report itself; there is no latest information yet on commercialization or licensing partnerships.
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- Semiconductor Engineering Chips and PackagingGenerative AI On A General-Purpose Neural Processor (GPNPU)
Quadric proposed the General-Purpose Neural Processor (GPNPU) in an IEEE paper, a single programmable processor architecture delivered as configurable IP that unifies scalar, vector and matrix execution into one ISA and a C++/Python programming model.
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