Nov 19, 2016 · Task-based programming provides programmers with an intuitive abstraction to express parallelism, and runtimes with the flexibility to adapt ...
Dec 14, 2016 · In this thesis, we provide fast, accurate and mathematically-sound models and techniques to understand the execution of task-based applications ...
StatTask enables fast and accurate modeling of data locality in task-based applications for the first time. We demonstrate the potential of this new analysis to ...
Formalizing Data Locality in Task Parallel Applications · List of references · Publications that cite this publication.
StatTask enables fast and accurate modeling of data locality in task-based applications for the first time. We demonstrate the potential of this new analysis to ...
Taming data locality for task scheduling under memory ...
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In this paper, we focus on how to schedule tasks that share some of their input data (but are otherwise independent) on a single GPU.
年份 · Formalizing data locality in task parallel applications. G Ceballos, E Hagersten, D Black-Schaffer. International conference on algorithms and ...
It allows the development of parallel applications with an abstraction of the hardware by delegating task distribution and load balancing to a dynamic scheduler ...
ABSTRACT. Today there is an urgent need for algorithms, programming lan- guage systems and tools, and hardware that deliver on the potential of parallelism ...
Missing: Formalizing | Show results with:Formalizing
Data locality is known to be the key for performance in both big data analysis and high-performance computing: in these distributed systems, it is crucial to ...
Missing: Formalizing | Show results with:Formalizing