JOURNAL ARTICLE

PERCIVAL: Open-Source Posit RISC-V Core With Quire Capability

David MallasénRaúl MurilloAlberto A. Del BarrioGuillermo BotellaLuís PiñuelManuel Prieto

Year: 2022 Journal:   IEEE Transactions on Emerging Topics in Computing Vol: 10 (3)Pages: 1241-1252   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The posit representation for real numbers is an alternative to the ubiquitous IEEE 754 floating-point standard. In this work, we present PERCIVAL, an application-level posit RISC-V core based on CVA6 that can execute all posit instructions, including the quire fused operations. This solves the obstacle encountered by previous works, which only included partial posit support or which had to emulate posits in software. In addition, Xposit, a RISC-V extension for posit instructions is incorporated into LLVM. Therefore, PERCIVAL is the first work that integrates the complete posit instruction set in hardware. These elements allow for the native execution of posit instructions as well as the standard floating-point ones, further permitting the comparison of these representations. FPGA and ASIC synthesis show the hardware cost of implementing 32-bit posits and highlight the significant overhead of including a quire accumulator. However, results show that the quire enables a more accurate execution of dot products. In general matrix multiplications, the accuracy error is reduced up to 4 orders of magnitude. Furthermore, performance comparisons show that these accuracy improvements do not hinder their execution, as posits run as fast as single-precision floats and exhibit better timing than double-precision floats, thus potentially providing an alternative representation.

Keywords:
Computer science Field-programmable gate array Application-specific integrated circuit Reduced instruction set computing Embedded system Overhead (engineering) Instruction set Software Accumulator (cryptography) Parallel computing Algorithm Operating system

Metrics

46
Cited By
12.11
FWCI (Field Weighted Citation Impact)
22
Refs
0.98
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Numerical Methods and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Low-power high-performance VLSI design
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
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