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SIGGRAPH Asia 2013 Courses, 2013
Modern GPUs support more flexible programming models through systems such as DirectCompute, OpenGL compute, OpenCL, and CUDA. Although much has been made of GPGPU programming, this course focuses on the application of compute on GPUs for graphics in particular.We will start with a brief overview of the underlying GPU architectures for compute.
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Modern GPUs support more flexible programming models through systems such as DirectCompute, OpenGL compute, OpenCL, and CUDA. Although much has been made of GPGPU programming, this course focuses on the application of compute on GPUs for graphics in particular.We will start with a brief overview of the underlying GPU architectures for compute.
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A GPU Implementation of the ASP Computation
2016General Purpose Graphical Processing Units (GPUs) are affordable multi-core platforms, providing access to large number of cores, but at the price of a complex architecture with non-trivial synchronization and communication costs. This paper presents the design and implementation of a conflict-driven ASP solver, that is capable of exploiting the ...
Agostino Dovier +3 more
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Communications of the ACM, 2016
Graphical processing units have emerged as a major powerhouse in the computing world, unleashing huge advancements in deep learning and AI.
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Graphical processing units have emerged as a major powerhouse in the computing world, unleashing huge advancements in deep learning and AI.
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Automating GPU computing in MATLAB
Proceedings of the international conference on Supercomputing, 2011MATLAB is a popular software platform for scientific and engineering software writers. It offers a high level of abstraction for fundamental mathematical operations and extensive highly optimized domain-specific libraries for several scientific and engineering disciplines. With the recent availability of GPU libraries for MATLAB, it has become possible
Chun-Yu Shei +2 more
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Extending OpenSHMEM for GPU Computing
2013 IEEE 27th International Symposium on Parallel and Distributed Processing, 2013Graphics Processing Units (GPUs) are becoming an integral part of modern supercomputer architectures due to their high compute density and performance per watt. In order to maximize utilization, it is imperative that applications running on these clusters have low synchronization and communication overheads.
Sreeram Potluri +4 more
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Integral image computation on GPU
10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13), 2013In this paper we present an integral image algorithm that can run in real-time on a Graphics Processing Unit (GPU). Our system exploits the parallelisms in computation via the NVIDA CUDA programming model, which is a software platform for solving non-graphics problems in a massively parallel high performance fashion.
Marwa Chouchene +3 more
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2009 15th International Conference on Parallel and Distributed Systems, 2009
Counting sort is a simple, stable and efficient sort algorithm with linear running time, which is a fundamental building block for many applications. This paper depicts the design issues of a data parallel implementation of the count sort algorithm on a commodity multiprocessor GPU using the Compute Unified Device Architecture (CUDA) platform, both ...
Weidong Sun, Zongmin Ma 0001
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Counting sort is a simple, stable and efficient sort algorithm with linear running time, which is a fundamental building block for many applications. This paper depicts the design issues of a data parallel implementation of the count sort algorithm on a commodity multiprocessor GPU using the Compute Unified Device Architecture (CUDA) platform, both ...
Weidong Sun, Zongmin Ma 0001
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Sustainable GPU Computing at Scale
2011 14th IEEE International Conference on Computational Science and Engineering, 2011General purpose GPU (GPGPU) computing has produced the fastest running supercomputers in the world. For continued sustainable progress, GPU computing at scale also need to address two open issues: a) how increase applications mean time between failures (MTBF) as we increase supercomputer's component counts, and b) how to minimize unnecessary energy ...
Justin Y. Shi +3 more
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GPUs and the Future of Parallel Computing
IEEE Micro, 2011This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address.
Stephen W. Keckler +4 more
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CPUs, GPUs, and Hybrid Computing
IEEE Micro, 2011This introduction to the special issue discusses advances and challenges in the field of hybrid CPU/GPU computing.
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