GPU/Accelerator computing will be the basis for the future of Exacale computing through the DOE's CORAL project. It is also the basis for future features for C++ Std's SG14's Games Development/Low Latency/Real Time/Graphics Study Group. However, llvm currently lacks a unified platform-neutral infrastructure for offloading to GPUs/Accelerators, which severely limits clang/llvm usage in these hugely important application domains.
For the past several years, a number of contributors from AMD, Argonne National Lab., IBM, Intel, Texas Instruments, University of Houston and many others have come together to deliver OpenMP support to clang. OpenMP 3.1 is now officially in clang 3.7 and work continues to completion of OpenMP 4 aiming for clang 3.8. One of the most important features of OpenMP 4 standard is a vendor- and platform-neutral support for Accelerators.
The main presenters will be the OpenMP CEO and Chair of ISO C++'s SG5/SG14 along with the main developer who has been delivering OpenMP implementation in clang (with the help of many others). This talk will describe how GPU and Accelerators will be supported in clang. It offers an overview of the OpenMP 4 syntax, and a description of the upstreaming progress in both clang and llvm through this continued collaboration, as well as the offloading interface design that will describe target independent support across many hardware targets including Nvidia, Xeon Phi, ARM, and AMD devices.
