Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing
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Abstract (arXiv)
While posit format offers superior dynamic range and accuracy for transprecision computing, its adoption in RISC-V processors is hindered by the lack of a unified solution for lightweight, precision-scalable, and IEEE-754 arithmetic compatible hardware implementation. To address these challenges, we enhance RISC-V processors by 1) integrating dedicated posit codecs into the original FPU for lightweight implementation, 2) incorporating multi/mixed-precision support with dynamic exponent size for precision-scalability, and 3) reusing and customizing ISA extensions for IEEE-754 compatible posit operations. Our comprehensive evaluation spans the modified FPU, RISC-V core, and SoC levels. It demonstrates that our implementation achieves 47.9% LUTs and 57.4% FFs reduction compared to state-of-the-art posit-enabled RISC-V processors, while achieving up to 2.54× throughput improvement in various GEMM kernels.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 37 references that are in the map. First posted on arXiv 25 May 2025.
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References · 12
- 2017Mixed Precision Trainingcited by 1,156
- 2016A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devicescited by 17
- 2023A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edgecited by 11
- 2020FPnew: An Open-Source Multi-Format Floating-Point Unit Architecture for Energy-Proportional Transprecision Computingcited by 7
- 2021DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nmcited by 7
- 2019Training Deep Neural Networks Using Posit Number Systemcited by 6
- 2021Fixed-Posit: A Floating-Point Representation for Error-Resilient Applicationscited by 5
- 2021PERCIVAL: Open-Source Posit RISC-V Core with Quire Capabilitycited by 4
- 2021The Accuracy and Efficiency of Posit Arithmeticcited by 2
- 2023PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applicationscited by 2
- 2023Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computingcited by 1
- 2023PPU: Design and Implementation of a Pipelined Full Posit Processing Unitcited by 1
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