GPU Vs FPGA : A Comparative Analysis for Non-Standard Precision

Provided by: Imperial College London
Topic: Hardware
Format: PDF
FPGAs and GPUs are increasingly used in a range of high performance computing applications. When implementing numerical algorithms on either platform, the authors can choose to represent operands with different levels of accuracy. A trade-off exists between the numerical accuracy of arithmetic operators and the resources needed to implement them. Where algorithmic requirements for numerical stability are captured in a design description, this trade-off can be exploited to optimize performance by using high-accuracy operators only where they are most required.

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