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- Title
High-Level Programming of Stencil Computations on Multi-GPU Systems Using the SkelCL Library.
- Authors
Steuwer, Michel; Haidl, Michael; Breuer, Stefan; Gorlatch, Sergei
- Abstract
The implementation of stencil computations on modern, massively parallel systems with GPUs and other accelerators currently relies on manually-tuned coding using low-level approaches like OpenCL and CUDA. This makes development of stencil applications a complex, time-consuming, and error-prone task. We describe how stencil computations can be programmed in our SkelCL approach that combines high-level programming abstractions with competitive performance on multi-GPU systems. SkelCL extends the OpenCL standard by three high-level features: 1) pre-implemented parallel patterns (a.k.a. skeletons); 2) container data types for vectors and matrices; 3) automatic data (re)distribution mechanism. We introduce two new SkelCL skeletons which specifically target stencil computations - MapOverlap and Stencil - and we describe their use for particular application examples, discuss their efficient parallel implementation, and report experimental results on systems with multiple GPUs. Our evaluation of three real-world applications shows that stencil code written with SkelCL is considerably shorter and offers competitive performance to hand-tuned OpenCL code.
- Subjects
GRAPHICS processing units; NUMERICAL analysis; CODING theory; INFORMATION theory; OPENCL (Computer program language)
- Publication
Parallel Processing Letters, 2014, Vol 24, Issue 3, p-1
- ISSN
0129-6264
- Publication type
Article
- DOI
10.1142/S0129626414410059