This artifact is based on ParallelAccelerator, an embedded domain-specific language (DSL) and compiler for speeding up compute-intensive Julia programs. In particular, Julia code that makes heavy use of aggregate array operations is a good candidate for speeding up with ParallelAccelerator. ParallelAccelerator is a non-invasive DSL that makes as few changes to the host programming model as possible
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
Since processor performance scalability will now mostly be achieved through thread-level parallelism...
Computational scientists often prototype software using productivity languages that offer high-level...
This document outlines how to setup and run computations in parallel using Julia on a collection of ...
International audienceHigh performance architectures evolve continuously to be more powerful. Such a...
Introduction: We developed a statistical analysis method, ASSET, capable of detectingrepeated sequen...
Julia [5] [15] is a high-level computing language used by many developers for its performance and ea...
Introduction: We developed a statistical analysis method, ASSET, capable of detecting repeated seque...
Julia is a new language for writing data analysis programs that are easy to implement and run at hig...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011.Cataloged from PD...
Automatic parallelization techniques for finding loop-based parallelism fail to find efficient paral...
The Fujitsu A64FX ARM-based processor is used in supercomputers such as Fugaku in Japan and Isambard...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
GPUs and other accelerators are popular devices for accelerating compute-intensive, parallelizable a...
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
Since processor performance scalability will now mostly be achieved through thread-level parallelism...
Computational scientists often prototype software using productivity languages that offer high-level...
This document outlines how to setup and run computations in parallel using Julia on a collection of ...
International audienceHigh performance architectures evolve continuously to be more powerful. Such a...
Introduction: We developed a statistical analysis method, ASSET, capable of detectingrepeated sequen...
Julia [5] [15] is a high-level computing language used by many developers for its performance and ea...
Introduction: We developed a statistical analysis method, ASSET, capable of detecting repeated seque...
Julia is a new language for writing data analysis programs that are easy to implement and run at hig...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011.Cataloged from PD...
Automatic parallelization techniques for finding loop-based parallelism fail to find efficient paral...
The Fujitsu A64FX ARM-based processor is used in supercomputers such as Fugaku in Japan and Isambard...
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Comput...
GPUs and other accelerators are popular devices for accelerating compute-intensive, parallelizable a...
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
Since processor performance scalability will now mostly be achieved through thread-level parallelism...