Results 251 to 260 of about 308,238 (274)
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Proceedings of the 4th International Workshop on OpenCL, 2016
In this paper we present a novel approach of utilizing new features of OpenCL 2.0: Fine-Grained SVM and device-side enqueue that allow completely new usage models and application paradigms. We present the idea of a GPU (Graphics Processing Unit) daemon that operates using different modes.
Michał Mrozek, Zbigniew Zdanowicz
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In this paper we present a novel approach of utilizing new features of OpenCL 2.0: Fine-Grained SVM and device-side enqueue that allow completely new usage models and application paradigms. We present the idea of a GPU (Graphics Processing Unit) daemon that operates using different modes.
Michał Mrozek, Zbigniew Zdanowicz
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2006
Points, lines, and polygons have been the fundamental primitives in graphics. Graphics hardware is optimized to handle them in a pipeline. Other objects are converted to these primitives before rendering. Programmable GPUs have made it possible to introduce a wide class of computations on each vertex and on each fragment.
Sunil Mohan Ranta +2 more
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Points, lines, and polygons have been the fundamental primitives in graphics. Graphics hardware is optimized to handle them in a pipeline. Other objects are converted to these primitives before rendering. Programmable GPUs have made it possible to introduce a wide class of computations on each vertex and on each fragment.
Sunil Mohan Ranta +2 more
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ACM Journal of Experimental Algorithmics, 2009
In this article, we describe GPU-Quicksort, an efficient Quicksort algorithm suitable for highly parallel multicore graphics processors. Quicksort has previously been considered an inefficient sorting solution for graphics processors, but we show that in CUDA, NVIDIA's programing platform for general-purpose computations on graphical processors, GPU ...
Daniel Cederman, Philippas Tsigas
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In this article, we describe GPU-Quicksort, an efficient Quicksort algorithm suitable for highly parallel multicore graphics processors. Quicksort has previously been considered an inefficient sorting solution for graphics processors, but we show that in CUDA, NVIDIA's programing platform for general-purpose computations on graphical processors, GPU ...
Daniel Cederman, Philippas Tsigas
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Proceedings of the International Symposium on Memory Systems, 2018
In the early days, computers only had central processing units or CPUs. High performance computing capabilities are now in high demand. Emerging applications such as deep learning, augmented and virtual reality, and video processing require accelerators especially graphics processing units (GPUs).
Yehia Arafa +4 more
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In the early days, computers only had central processing units or CPUs. High performance computing capabilities are now in high demand. Emerging applications such as deep learning, augmented and virtual reality, and video processing require accelerators especially graphics processing units (GPUs).
Yehia Arafa +4 more
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2020
The purpose of the paper is to experimentally investigate the factors that influence the performance of a ready-to-use neural network model application in GPU cloud systems of various architectures. Results. Overheads related to microservices and distributed architectures, memory, network, batch size, synchronous and asynchronous interactions are ...
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The purpose of the paper is to experimentally investigate the factors that influence the performance of a ready-to-use neural network model application in GPU cloud systems of various architectures. Results. Overheads related to microservices and distributed architectures, memory, network, batch size, synchronous and asynchronous interactions are ...
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Proceedings of the 17th international conference on Parallel architectures and compilation techniques, 2008
In the last several years GPU devices have started to evolve into supercomputers. New, non-graphics, features are rapidly appearing along with new more general programming languages. One reason for the quick pace of change is that, games and hardware evolve together: Hardware vendors review the most popular games, looking for places to add hardware ...
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In the last several years GPU devices have started to evolve into supercomputers. New, non-graphics, features are rapidly appearing along with new more general programming languages. One reason for the quick pace of change is that, games and hardware evolve together: Hardware vendors review the most popular games, looking for places to add hardware ...
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GPU computing---General-purpose GPU computing
Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06, 2006openaire +1 more source
2011
Ray tracing is a popular method for generating realistic imagery, with high computation complexity and high potential for parallelization. Modern GPUs can be used as a high performance parallel co-processor, making them seemingly ideal for tasks such as ray tracing.
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Ray tracing is a popular method for generating realistic imagery, with high computation complexity and high potential for parallelization. Modern GPUs can be used as a high performance parallel co-processor, making them seemingly ideal for tasks such as ray tracing.
openaire +2 more sources