Extended VLIW Processor with Overlapping RISC-V Compressed and Privileged Instructions

RISC-V is an instruction set architecture that has attracted interest in both academic and industrial fields in recent years.RISC-V provides compressed instructions that reduce the size of each instruction.This feature contributes to the reduction of program size and is advantageous for embedded processors that have tight constraints on instruction and data memories.Therefore, implementation of compressed instructions is advantageous in terms of program size, but disadvantageous in terms of hardware for embedded processors with heavy area constraints.To solve the increase amount of hardware caused by supporting compressed instructions, we propose Converting All Integer-instructions to Compressed-instructions (CAIC) method.Additionally, we propose an extended VLIW processor called RVC-VOI (RISC-V Compressed -VLIW with Overlapping Instructions) that adapts the CAIC method.The processor implements privileged instructions which are not defined in compressed instructions, without increasing the issue slot executes privileged instructions or hardware to align instruction length, by overlapping instruction fields.This paper evaluates the code size reduction rate achieved by the CAIC method and the area of RVC-VOI.The CAIC method achieved a 7.2% reduction in the code size of QuickSort and a 25.9% reduction in the code size of Dhrystone, and RVC-VOI achieved significant reductions in energy consumption of up to 98.7% and circuit scale of up to 98.6% while maintaining execution time comparable to that of superscalar processors.

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Publication Details

Journal
International Journal of Networking and Computing
Published
2025-01-01
DOI
https://doi.org/10.15803/ijnc.15.2_182
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Extended VLIW Processor with Overlapping RISC-V Compressed and Privileged Instructions

Haruo Tanaka, Takahiro Sasaki
1 links
International Journal of Networking and Computing
Advanced Memory and Neural Computing
article

Extended VLIW Processor with Overlapping RISC-V Compressed and Privileged Instructions

Haruo Tanaka, Takahiro Sasaki
article en

Abstract

RISC-V is an instruction set architecture that has attracted interest in both academic and industrial fields in recent years.RISC-V provides compressed instructions that reduce the size of each instruction.This feature contributes to the reduction of program size and is advantageous for embedded processors that have tight constraints on instruction and data memories.Therefore, implementation of compressed instructions is advantageous in terms of program size, but disadvantageous in terms of hardware for embedded processors with heavy area constraints.To solve the increase amount of hardware caused by supporting compressed instructions, we propose Converting All Integer-instructions to Compressed-instructions (CAIC) method.Additionally, we propose an extended VLIW processor called RVC-VOI (RISC-V Compressed -VLIW with Overlapping Instructions) that adapts the CAIC method.The processor implements privileged instructions which are not defined in compressed instructions, without increasing the issue slot executes privileged instructions or hardware to align instruction length, by overlapping instruction fields.This paper evaluates the code size reduction rate achieved by the CAIC method and the area of RVC-VOI.The CAIC method achieved a 7.2% reduction in the code size of QuickSort and a 25.9% reduction in the code size of Dhrystone, and RVC-VOI achieved significant reductions in energy consumption of up to 98.7% and circuit scale of up to 98.6% while maintaining execution time comparable to that of superscalar processors.

International Journal of Networking and ComputingVol. 15(2)
Aichi Prefectural University (JP)
North Carolina State University, University of Tokyo
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
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Extended VLIW Processor with Overlapping RISC-V Compressed and Privileged Instructions — Haruo Tanaka, Takahiro Sasaki · International Journal of Networking and Computing (2025) | TGRS Research Map | TGRS