This looks great :) The only thing I am wondering about is the license. Is the license compatible with MIT? And if I want to contribute do I have to fill out a Contributor License Agreement? I would much prefer if the license would be one of the standard open-source ones, but I understand if you are not able to change that. (There was some code licensed under the Intel license for the threading work, but that could re-licensed under MIT recently)
On Wednesday, 21 October 2015 14:43:21 UTC+9, Lindsey Kuper wrote: > > ...and somehow I bungled the URL of our issue tracker, which is, of > course, https://github.com/IntelLabs/ParallelAccelerator.jl/issues . > https://travis-ci.org/IntelLabs/ParallelAccelerator.jl is our Travis > page, and https://travis-ci.org/IntelLabs/ParallelAccelerator.jl/issues > isn't anything. :) > > Best, > Lindsey > > On Tue, Oct 20, 2015 at 5:57 PM, Lindsey Kuper <[email protected] > <javascript:>> wrote: > >> The High Performance Scripting team at Intel Labs is pleased to announce >> the release of version 0.1 of ParallelAccelerator.jl, a package for >> high-performance parallel computing in Julia. >> >> ParallelAccelerator provides an @acc (short for "accelerate") macro for >> annotating Julia functions. Together with a system C compiler (ICC or >> GCC), it compiles @acc-annotated functions to optimized native code. >> >> Under the hood, ParallelAccelerator is essentially a domain-specific >> compiler written in Julia. It performs additional analysis and optimization >> on top of the Julia compiler. ParallelAccelerator discovers and exploits >> the implicit parallelism in source programs that use parallel programming >> patterns such as map, reduce, comprehension, and stencil. For example, >> Julia array operators such as .+, .-, .*, ./ are translated by >> ParallelAccelerator internally into data-parallel map operations over all >> elements of input arrays. For the most part, these patterns are already >> present in standard Julia, so programmers can use ParallelAccelerator to >> run the same Julia program without (significantly) modifying the source >> code. >> >> Version 0.1 should be considered an alpha release, suitable for early >> adopters and Julia enthusiasts. Please file bugs at >> https://travis-ci.org/IntelLabs/ParallelAccelerator.jl/issues . >> >> ParallelAccelerator requires Julia v0.4.0. See our GitHub repository at >> https://github.com/IntelLabs/ParallelAccelerator.jl for a complete list >> of prerequisites, supported platforms, example programs, and documentation. >> >> Thanks to our colleagues at Intel and Intel Labs, the Julia team, and the >> broader Julia community for their support of our efforts! >> >> Best regards, >> The High Performance Scripting team >> (Programming Systems Lab, Intel Labs) >> >> >
