TransDot unifies SIMD FMA and trans-precision DPA in one reconfigurable FPU, achieving 2x FP16, 4x FP8, and 8x FP4 throughput with FP32 accumulation plus 1.46x to 2.92x area efficiency gains over the FPnew baseline.
Configurable multi-precision floating-point multiplier architecture design for computation in deep learning
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TransDot: An Area-efficient Reconfigurable Floating-Point Unit for Trans-Precision Dot-Product Accumulation for FPGA AI Engines
TransDot unifies SIMD FMA and trans-precision DPA in one reconfigurable FPU, achieving 2x FP16, 4x FP8, and 8x FP4 throughput with FP32 accumulation plus 1.46x to 2.92x area efficiency gains over the FPnew baseline.