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  1. Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units (GPGPU-6)
  2. OpenCL C++
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Comparison based sorting for systems with multiple GPUs
Reducing divergence in GPGPU programs with loop merging
Split tiling for GPUs: automatic parallelization using trapezoidal tiles
Formalizing address spaces with application to Cuda, OpenCL, and beyond
Memory reuse optimizations in the R-Stream compiler
Valar: a benchmark suite to study the dynamic behavior of heterogeneous systems
Input-aware auto-tuning for directive-based GPU programming
Betweenness centrality on GPUs and heterogeneous architectures
OpenCL C++
Atomic-free irregular computations on GPUs
Accelerating simulation of agent-based models on heterogeneous architectures
Fast dynamic memory allocator for massively parallel architectures
Accelerating financial applications on the GPU
Exploring GPU architectures to accelerate semantic comparison for intention-based search
Warp size impact in GPUs: large or small?

OpenCL C++

Content Provider ACM Digital Library
Author Gaster, Benedict R. Howes, Lee
Abstract With the success of programming models such as Khronos' OpenCL, heterogeneous computing is going mainstream. However, these models are low-level, even when considering them as systems programming models. For example, OpenCL is effectively an extended subset of C99, limited to the type unsafe procedural abstraction that C has provided for more than 30 years. Computer systems programming has for more than two decades been able to do a lot better. One successful case in point is the systems programming language C++, known for its strong(er) type system, templates, and object-oriented abstraction features. In this paper we introduce OpenCL C++, an object-oriented programming model (based on C++11) for heterogeneous computing and an alternative for developers targeting OpenCL enabled devices. We show that OpenCL C's address space qualifiers, and by implication Embedded C's, can be lifted into C++'s type system. A novel application of C++11's new type inference features (auto/decltype) with respect to address space qualifiers allows natural and generic use of the this pointer. We qualitatively show that OpenCL C++ is a simpler and a more expressive development platform than its OpenCL C counter part.
Starting Page 86
Ending Page 95
Page Count 10
File Format PDF
ISBN 9781450320177
DOI 10.1145/2458523.2458532
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-03-16
Publisher Place New York
Access Restriction Subscribed
Subject Keyword C++ Parallel programming Opencl Gpu Gpgpu
Content Type Text
Resource Type Article
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