f650c826f2
- Update to version 25.10.0: * AdaptiveCpp 25.10 introduces a deployment model for the distribution of AdaptiveCpp-compiled binaries. Users can now run acpp --acpp-deploy to let AdaptiveCpp collect all libraries that a binary will need at runtime. This can be conveniently used to create self-contained application packages -- together with AdaptiveCpp's generic JIT compiler, this makes it easy and convenient to distribute binaries that can offload kernels to NVIDIA, AMD, and Intel GPUs, as well as CPUs. * Full highlights at: https://github.com/AdaptiveCpp/AdaptiveCpp/releases/tag/v25.10.0 * Full changelog at: https://github.com/AdaptiveCpp/AdaptiveCpp/compare/v25.02.0...v25.10.0Eyad Issa2025-11-06 00:56:17 +00:00
744658f82c
Accepting request 1284234 from devel:tools:compiler
Ana Guerrero2025-06-10 07:08:30 +00:00
0c4ec1dc9b
- Exclude armv{6,7}l from built arches
Eyad Issa2025-06-02 14:07:57 +00:00
10727b2097
Accepting request 1276334 from devel:tools:compiler
Ana Guerrero2025-05-12 14:47:32 +00:00
1ef002badf
- Update to version 25.02.0: * Introducing AdaptiveCpp portable CUDA (PCUDA): AdaptiveCpp 25.02 introduces support for a new programming model in its generic JIT compiler: The portable CUDA (PCUDA) model. This programming model is a dialect of the CUDA and HIP programming model. AdaptiveCpp PCUDA allows taking CUDA or HIP source code, recompile with AdaptiveCpp, and obtain a single single binary that can dispatch kernels to CPUs, Intel GPUs, AMD GPUs, NVIDIA GPUs (or all at the same time). * Full highlights at: https://github.com/AdaptiveCpp/AdaptiveCpp/releases/tag/v25.02.0 * Full changelog at: https://github.com/AdaptiveCpp/AdaptiveCpp/compare/v24.10.0...v25.02.0 * Drop adaptivecpp-24.10.0-cmake4.patch: upstreamed
Eyad Issa2025-05-09 22:00:33 +00:00
31bda1d238
Accepting request 1274861 from devel:tools:compiler
Ana Guerrero2025-05-06 14:43:30 +00:00
3c9d21c770
- Use Source URL instead of _service to fetch the source code
Eyad Issa2025-05-06 10:39:38 +00:00