Abstract: Artificial intelligence (AI) edge devices increasingly require the enhanced accuracy of floating-point (FP) multiply-and-accumulate (MAC) operations as well as nonvolatile on-chip memory to ...
Abstract: In this brief, a variable-precision approximate floating-point multiplier is proposed for energy efficient deep learning computation. The proposed architecture supports approximate ...
Floating-point converter for FP32, FP64, FP16, bfloat16, TensorFloat-32 and arbitrary IEEE 754-style floating-point types. This is a website for hands-on exploration of floating-point types, and a ...
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