GPU

CacheQ exposes GPU support for the QCC development environment

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LOS GATOS, CALIF., – CacheQ Systems, Inc. announced GPU support for its QCC Acceleration Platform. It is a heterogeneous computing development environment that provides faster performance and lower development time for computer architectures including multi-core processors, GPUs, and programmable gate arrays (FPGA). “The demand for hardware acceleration with GPUs and other heterogeneous computing hardware is … Read more

What is a Field Programmable Gate Array (FPGA): FPGA vs. GPU for Artificial Intelligence (AI)

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Field Programmable Gate Array (FPGA) is an integrated circuit that can be configured and customized after manufacturing. These chips are called “field programmable” because of this ability. They consist of programmable logic blocks that can be set up to perform a wide variety of functions or act as logic gates, providing the user with great … Read more