DownloadParallelAccelerator is a Julia package for speeding up compute-intensive Julia programs. In particular, Julia code that makes heavy use of high-level array operations is a good candidate for speeding up with ParallelAccelerator. With the @acc macro that ParallelAccelerator provides, users may specify parts of a program to accelerate. ParallelAccelerator compiles these parts of the program to fast native code. It automatically eliminates overheads such as array bounds checking when it is safe to do so. It also parallelizes and vectorizes many data-parallel operations. ParallelAccelerator is part of the High Performance Scripting (HPS) project at Intel Labs.
Features
- Julia package for speeding up compute-intensive Julia programs
- Julia code that makes heavy use of high-level array operations is a good candidate for speeding up with ParallelAccelerator
- Users may specify parts of a program to accelerate
- ParallelAccelerator compiles these parts of the program to fast native code
- It automatically eliminates overheads such as array bounds checking when it is safe to do so
- It also parallelizes and vectorizes many data-parallel operations
Project Samples
Categories
Data VisualizationLicense
BSD LicenseFollow ParallelAccelerator.jl
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