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Toma Pigli

dblp:201/4813 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Concurrent programming
concurrency bugs
0.312017
BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017
Concurrent programming › concurrency bug detection
data race detection
0.312017
BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017
GPUs and heterogeneous computing › GPU programming
CUDA
0.312017
BARRACUDA: binary-level analysis of runtime RAces in CUDA programs · PLDI 2017
Program analysis
dynamic analysis
0.112017
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
YearPublicationVenuePosition
2017 BARRACUDA: binary-level analysis of runtime RAces in CUDA programs
abstract
GPU 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
PLDI3