Join GitHub today
GitHub is home to over 28 million developers working together to host and review code, manage projects, and build software together.Sign up
SkelCL is a library providing high-level abstractions for alleviated programming of modern parallel heterogeneous systems. SkelCL is a research project developed at the research group parallel and distributed systems at University of Münster which is located in Germany. http://skelcl.github.io
Fetching latest commit…
Cannot retrieve the latest commit at this time.
SkelCL is a multi-GPU skeleton library based on OpenCL. It is actively developed at the University of Münster, Germany, by Michel Steuwer and others. For comments or questions feel free to contact the author: email@example.com Most of the functionality is explained in detail in the following peer-reviewed publications: - S. Breuer, M. Steuwer, and S. Gorlatch: `Extending the SkelCL Skeleton Library for Stencil Computations on Multi-GPU Systems' in Proceedings of the 1st International Workshop on High-Performance Stencil Computations (HiStencils), 2014, Vienna, Austria - M. Steuwer, M. Friese, S. Albers, and S. Gorlatch: `Introducing and Implementing the Allpairs Skeleton for Programming Multi-GPU Systems' in International Journal of Parallel Programming, 2013, Springer - M. Steuwer and S. Gorlatch: `High-Level Programming for Medical Imaging on Multi-GPU Systems using the SkelCL Library' in Procedia Computer Science, Volumne 18, Pages 749-758, 2013, Elsevier - M. Steuwer and S. Gorlatch: `SkelCL: Enhancing OpenCL for High-Level Programming of Multi-GPU Systems' in Parallel Computing Technologies (PaCT), 2013, St. Petersburg, Russia - P. Kegel, M. Steuwer, and S. Gorlatch: `Uniform High-Level Programming of Many-Core and Multi-GPU Systems' in Transition of HPC Towards Exascale Computing, 2013, IOS Press - M. Steuwer, P. Kegel, and S. Gorlatch Sergei: `A High-Level Programming Approach for Distributed Systems with Accelerators' in New Trends in Software Methodologies, Tools and Techniques - Proceedings of the Eleventh SoMeT '12, 2012, Genoa, Italy - M. Steuwer, S. Gorlatch, S. Buß, and S. Breuer: `Using the SkelCL Library for High-Level GPU Programming of 2D Applications' in Euro-Par 2012: Parallel Processing Workshops, 2012, Rhodes Island, Greece - M. Steuwer, P. Kegel, and S. Gorlatch: `Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library' in 2012 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2012, Shanghai, China - C. Kessler, S. Gorlatch, J. Emmyren, U. Dastgeer, M. Steuwer and P. Kegel: `Skeleton Programming for Portable Many-Core Computing' in Programming Multi-core and Many-core Computing Systems, Wiley (to appear) - M. Steuwer, P. Kegel, and S. Gorlatch: `SkelCL - A Portable Skeleton Library for High-Level GPU Programming' in 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011, Anchorage, US Three key abstractions are made in this library: 1) memory management is simplified using parallel container data types (vectors and matrices); 2) an automatic data (re)distribution mechanism allows for implicit data movements between GPUs and ensures scalability when using multiple GPUs; 3) computations are conveniently expressed using parallel algorithmic patterns (a.k.a. algorithmic skeletons). For more information visit <http://skelcl.uni-muenster.de> or contact the main developer: firstname.lastname@example.org