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Yuya Degawa

dblp:309/4329 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2023
0009-0001-2323-4569ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture
instruction set architecture
0.712023
Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023
Processor architecture and microarchitecture › out-of-order execution
out-of-order processor
0.712023
Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023
Processor architecture and microarchitecture › out-of-order execution
register renaming
0.712023
Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023
Compilers and program optimization › code layout optimization
instruction placement
0.212023
Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023

Methods — techniques the papers use, named apart from their topics

operand specification by inter-instruction distance · 1.3
YearPublicationVenuePosition
2023 Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors
abstract
Out-of-order superscalar processors are currently the only architecture that speeds up irregular programs, but they suffer from poor power efficiency. To tackle this issue, we focused on how to specify register operands. Specifying operands by register names, as conventional RISC does, requires register renaming, resulting in poor power efficiency and preventing an increase in the front-end width. In contrast, a recently proposed architecture called STRAIGHT specifies operands by inter-instruction distance, thereby eliminating register renaming. However, STRAIGHT has strong constraints on instruction placement, which generally results in a large increase in the number of instructions.
Toru Koizumi 0001, Ryota Shioya, Shu Sugita, Taichi Amano, Yuya Degawa, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai
MICRO5
2022 T-SKID: Predicting When to Prefetch Separately from Address Prediction
abstract
Prefetching is an important technique for reducing the number of cache misses and improving processor performance, and thus various prefetchers have been proposed. Many prefetchers are focused on issuing prefetches sufficiently earlier than demand accesses to hide miss latency. In contrast, we propose aT-SKID prefetcher, which focuses on delaying prefetching. If a prefetcher issues prefetches for demand accesses too early, the prefetched line will be evicted before it is referenced. We found that existing prefetchers often issue such too-early prefetches, and this observation offers new opportunities to improve performance. To tackle this issue, T-SKID performs timing prediction indepen-dently of address prediction. In addition to issuing prefetches sufficiently early as existing prefetchers do, T-SKID can delay the issue of prefetches until an appropriate time if necessary. We evaluated T-SKID by simulations using SPEC CPU 2017. The result shows that T-SKID achieves a 5.6 % performance improve-ment for multi-core environment, compared to Instruction Pointer Classifier based Prefetching, which is a state-of-the-art prefetcher.
Toru Koizumi 0001, Tomoki Nakamura, Yuya Degawa, Hidetsugu Irie, Shuichi Sakai, Ryota Shioya
DATE3
2021 Accurate and Fast Performance Modeling of Processors with Decoupled Front-end
abstract
Various techniques, such as cache replacement algorithms and prefetching, have been studied to prevent instruction cache misses from becoming a bottleneck in the processor frontend. In such studies, the goal of the design has been to reduce the number of instruction cache misses. However, owing to the increasing complexity of modern processors, the correlation between reducing instruction cache misses and reducing the number of executed cycles has become smaller than in previous cases. In this paper, we propose a new guideline for improving the performance of modern processors. In addition, we propose a method for estimating the approximate performance of a design two orders of magnitude faster than a full simulation each time the designers modify their design.
Yuya Degawa, Toru Koizumi 0001, Tomoki Nakamura, Ryota Shioya, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai
ICCD1