Presentation 2019-05-09
Efficient Instruction Fetch Architectures for a RISC-V Soft Processor
Hiromu Miyazaki, Junya Miura, Kenji Kise,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We aim to develop a cost-effective RISC-V scalar processor of pipelining for FPGAs. In this report, we try to implement an efficient instruction fetch unit. We clarify the problem of an instruction fetch unit in the processor that support the RISC-V compressed instructions. To solve the problem, we propose two instruction fetch units. We implement the proposed fetch units and evaluate their performance, hardware resources, and operating frequency. Through the evaluation, we show that the proposed unit with a compressed cache is the best and achieves 21.8% better fetch performance than a baseline architecture.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Soft Processor / RISC-V / FPGA / Instruction Fetch / Instruction Cache / Compressed Instruction
Paper # RECONF2019-1
Date of Issue 2019-05-02 (RECONF)

Conference Information
Committee RECONF
Conference Date 2019/5/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Tech Front
Topics (in Japanese) (See Japanese page)
Topics (in English) Reconfigurable system, etc.
Chair Masato Motomura(Tokyo Tech.)
Vice Chair Yuichiro Shibata(Nagasaki Univ.) / Kentaro Sano(RIKEN)
Secretary Yuichiro Shibata(Hiroshima City Univ.) / Kentaro Sano(e-trees.Japan)
Assistant Yuuki Kobayashi(NEC) / Hiroki Nakahara(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Reconfigurable Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Efficient Instruction Fetch Architectures for a RISC-V Soft Processor
Sub Title (in English)
Keyword(1) Soft Processor
Keyword(2) RISC-V
Keyword(3) FPGA
Keyword(4) Instruction Fetch
Keyword(5) Instruction Cache
Keyword(6) Compressed Instruction
1st Author's Name Hiromu Miyazaki
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
2nd Author's Name Junya Miura
2nd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
3rd Author's Name Kenji Kise
3rd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
Date 2019-05-09
Paper # RECONF2019-1
Volume (vol) vol.119
Number (no) RECONF-18
Page pp.pp.1-6(RECONF),
#Pages 6
Date of Issue 2019-05-02 (RECONF)