Demo Data from EDBT 2026 / reviewers in the wild / expert
Brian Grayson
dblp:13/6645
· DBLP profile ↗
4ranked-venue papers
2as 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 · 3 · 2 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorTheory of computation · 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
2 papers |
Processor architecture and microarchitecture · 75% Memory systems · 23% Parallel and multicore computing · 2% |
Topics — the 7 heaviest of 7, 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 |
Parallel and multicore computing › parallel algorithms
parallel algorithm design |
0.0 | 1 | 1999 | Emulations Between QSM, BSP, and LogP: A Framework for General-Purpose Parallel Algorithm Design · SODA 1999 |
Parallel and multicore computing
parallel computation models |
0.0 | 1 | 1999 | Emulations Between QSM, BSP, and LogP: A Framework for General-Purpose Parallel Algorithm Design · SODA 1999 |
| 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 | 1 |
| 2003 | Emulations between QSM, BSP and LogP: a framework for general-purpose parallel algorithm design
Vijaya Ramachandran, Brian Grayson, Michael Dahlin |
J. Parallel Distributed Comput. | 2 |
| 1999 | Emulations Between QSM, BSP, and LogP: A Framework for General-Purpose Parallel Algorithm Design
Vijaya Ramachandran, Brian Grayson, Michael Dahlin |
SODA | 2 |
| 1995 | Statistics on concurrent fault and design error simulationabstractBasic data of the nature presented here on fault and design error simulation processes have not been previously reported. Experiments are performed on c-sim, a gate level concurrent simulator developed at the University of Texas at Austin. Three types of statistics are considered: event based statistics, gate evaluation statistics and memory requirements. These statistics are important for design verification researchers and engineers for numerous reasons. For example, they help simulator developers tune up or optimize their concurrent simulators. They also fulfill the increasing need for experimental data concerning design error simulation. Most importantly, these statistics provide guidance to hardware accelerator designers in evaluating and comparing various design options. Brian Grayson, Saghir A. Shaikh, Stephen A. Szygenda |
ICCD | 1 |