c31 lecture 16

Fabric can ne tune optim decisions simd vect other

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Unformatted text preview: r LLVM opts. Executable CPU/core code LLVM H/W desc. input to LLVM and AutoESL RTL synthetiser Clang Accel. Lib. Extract. OpenCL Fixed accelerator libraries (Xilinx ISE) OpenCL compiler (vendor) FPGA bitstream Feedback from lower layer: performance GPU code RTL to FPGA with calls to Accel. lib 53 Execution Layer Executable CPU/core code Feedback to upper layer (performance) FPGA bitstream GPU code Unified Adaptive Runtime system (schedules tasks across CPUs, GPUs, Accelerators, FPGA processors) Performance feedback Convey HC-1 testbed CHP simulator 54 So, what for you? If your application targets a handheld device Likely, will be about interacting with the user, and displaying data Will need to connect to the cloud for intense computing May be Java, or even computer-assisted design Or, you may be a hardcore/performance programmer… If your application targets the cloud No idea about the actual hardware running Still use a generic language (Java, C++?) 55...
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This note was uploaded on 04/03/2014 for the course CS 31 taught by Professor Melkanoff during the Fall '00 term at UCLA.

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