Demo Data from VLDB 2026 / reviewers in the wild / expert
Toma Pigli
dblp:201/4813
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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.
| Software engineering, system software, and programming languages
1 paper |
Concurrent programming · 87% Program analysis · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Concurrent programming
concurrency bugs |
0.3 | 1 | 2017 | BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017 |
Concurrent programming › concurrency bug detection
data race detection |
0.3 | 1 | 2017 | BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017 |
GPUs and heterogeneous computing › GPU programming
CUDA |
0.3 | 1 | 2017 | BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017 |
Program analysis
dynamic analysis |
0.1 | 1 | 2017 | BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017 |
Methods — techniques the papers use, named apart from their topics
binary-level analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | BARRACUDA: binary-level analysis of runtime RAces in CUDA programsabstractGPU programming models enable and encourage massively parallel programming with over a million threads, requiring extreme parallelism to achieve good performance. Massive parallelism brings significant correctness challenges by increasing the possibility for bugs as the number of thread interleavings balloons. Conventional dynamic safety analyses struggle to run at this scale. Ariel Eizenberg, Yuanfeng Peng, Toma Pigli, William Mansky, Joseph Devietti |
PLDI | 3 |