Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ryan Hensley
dblp:270/3967
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1
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 · 77% Memory systems · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
branch prediction |
0.4 | 1 | 2020 | Evolution of the Samsung Exynos CPU Microarchitecture · ISCA 2020 |
Memory systems
memory latency reduction |
0.4 | 1 | 2020 | Evolution of the Samsung Exynos CPU Microarchitecture · ISCA 2020 |
Processor architecture and microarchitecture › front-end
micro-op cache |
0.4 | 1 | 2020 | Evolution of the Samsung Exynos CPU Microarchitecture · ISCA 2020 |
Processor architecture and microarchitecture › branch prediction
neural branch prediction |
0.4 | 1 | 2020 | Evolution of the Samsung Exynos CPU Microarchitecture · ISCA 2020 |
Processor architecture and microarchitecture › speculative execution
speculative execution security |
0.1 | 1 | 2020 | Evolution of the Samsung Exynos CPU Microarchitecture · ISCA 2020 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Evolution of the Samsung Exynos CPU MicroarchitectureabstractThe Samsung Exynos family of cores are highperformance “big” processors developed at the Samsung Austin Research & Design Center (SARC) starting in late 2011. This paper discusses selected aspects of the microarchitecture of these cores - specifically perceptron-based branch prediction, Spectre v2 security enhancements, micro-operation cache algorithms, prefetcher advancements, and memory latency optimizations. Each micro-architecture item evolved over time, both as part of continuous yearly improvement, and in reaction to changing mobile workloads. Brian Grayson, Jeff Rupley, Gerald D. Zuraski, Eric Quinnell, Daniel A. Jiménez, Tarun Nakra, Paul Kitchin, Ryan Hensley, Edward Brekelbaum, Vikas Sinha, Ankit Ghiya |
ISCA | 8 |