Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuya Degawa
dblp:309/4329
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
instruction set architecture |
0.7 | 1 | 2023 | 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 |
0.7 | 1 | 2023 | Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023 |
Processor architecture and microarchitecture › out-of-order execution
register renaming |
0.7 | 1 | 2023 | Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors · MICRO 2023 |
Compilers and program optimization › code layout optimization
instruction placement |
0.2 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Clockhands: Rename-free Instruction Set Architecture for Out-of-order ProcessorsabstractOut-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 |
MICRO | 5 |
| 2022 | T-SKID: Predicting When to Prefetch Separately from Address PredictionabstractPrefetching 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 |
DATE | 3 |
| 2021 | Accurate and Fast Performance Modeling of Processors with Decoupled Front-endabstractVarious 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 |
ICCD | 1 |