EDBT 2026 Demo / reviewers in the wild / expert
Shane Mottishaw
dblp:29/7411
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
—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 |
Parallel and multicore computing · 50% Distributed systems · 50% | |
| Software engineering, system software, and programming languages
1 paper |
Concurrent programming · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › workflow management
dependency management |
0.1 | 1 | 2011 | Synchronization via scheduling: techniques for efficiently managing shared state · PLDI 2011 |
Parallel and multicore computing
parallel programming models |
0.1 | 1 | 2011 | Synchronization via scheduling: techniques for efficiently managing shared state · PLDI 2011 |
Distributed systems › distributed coordination
shared state management |
0.1 | 1 | 2011 | Synchronization via scheduling: techniques for efficiently managing shared state · PLDI 2011 |
Parallel and multicore computing › task scheduling
task graph scheduling |
0.1 | 1 | 2011 | Synchronization via scheduling: techniques for efficiently managing shared state · PLDI 2011 |
Concurrent programming
synchronization |
0.0 | 1 | 2011 | Synchronization via scheduling: techniques for efficiently managing shared state · PLDI 2011 |
Methods — techniques the papers use, named apart from their topics
task graph model · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Synchronization via scheduling: techniques for efficiently managing shared stateabstractShared state access conflicts are one of the greatest sources of error for fine grained parallelism in any domain. Notoriously hard to debug, these conflicts reduce reliability and increase development time. The standard task graph model dictates that tasks with potential conflicting accesses to shared state must be linked by a dependency, even if there is no explicit logical ordering on their execution. In cases where it is difficult to understand if such implicit dependencies exist, the programmer often creates more dependencies than needed, which results in constrained graphs with large monolithic tasks and limited parallelism. Micah J. Best, Shane Mottishaw, Craig Mustard, Mark Roth, Alexandra Fedorova, Andrew Brownsword |
PLDI | 2 |
| 2009 | Searching for Concurrent Design Patterns in Video Games
Micah J. Best, Alexandra Fedorova, Ryan Dickie, Andrea Tagliasacchi, Alex Couture-Beil, Craig Mustard, Shane Mottishaw, Aron Brown, Zhi Feng Huang, Xiaoyuan Xu, Nasser Ghazali, Andrew Brownsword |
Euro-Par | 7 |