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Optimized fast Walsh-Hadamard transform on OpenCL-GPU and OpenCL-CPU [PDF]
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016 The Walsh-Hadamard transform plays a major role in many image and video coding algorithms. In one hand, its intensive use in these algorithms makes its acceleration a challenge, in order to speed-up the algorithm execution. On the other hand, the available fast implementations are not efficient across different platforms. In this work, a parallel-based
Pedro M. M. Pereira +4 more
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An investigation of the performance portability of OpenCL [PDF]
Journal of Parallel and Distributed Computing, 2013 This paper reports on the development of an MPI/OpenCL implementation of LU, an application-level benchmark from the NAS Parallel Benchmark Suite.
S John Pennycook +2 more
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, 2014 Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Martínez García, Jose Antonio
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2011 Second International Conference on Networking and Computing, 2011
The recent advancement in GPU technology has attracted researchers who need intensive computing to the GPU-based computing (GPGPU) field because of its high and inexpensive performance. However, GPGPU programming platforms are traditionally vendor- or hardware-specific, which complicate the access to the computer power of heterogeneous processors from ...
Pablo Lamilla Álvarez +1 more
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The recent advancement in GPU technology has attracted researchers who need intensive computing to the GPU-based computing (GPGPU) field because of its high and inexpensive performance. However, GPGPU programming platforms are traditionally vendor- or hardware-specific, which complicate the access to the computer power of heterogeneous processors from ...
Pablo Lamilla Álvarez +1 more
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Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, 2013
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 ...
Benedict R. Gaster, Lee W. Howes
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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 ...
Benedict R. Gaster, Lee W. Howes
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Hybrid OpenCL: Enhancing OpenCL for Distributed Processing
2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications, 2011We have been developing Hybrid OpenCL, which enables the utilization of OpenCL devices by connecting them over the network. Hybrid OpenCL opens a gate to scale up OpenCL environments. By using Hybrid OpenCL, applications written in OpenCL can be easily ported to high performance cluster computers, thus, Hybrid OpenCL can provide more various ...
Ryo Aoki +3 more
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OpenCL-Darknet: An OpenCL Implementation for Object Detection
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018Object detection is a technology that deals with recognizing classes of objects and their location. It is used in many different areas, such as in face-detecting digital cameras, surveillance tools, or self-driving cars. These days, deep learning-based object detection approaches have achieved significantly better performance than the classic feature ...
Yongbon Koo +2 more
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International Workshop on OpenCL, 2021
For several decades, graph and dataflow programming models have been niche topics limited to a small number of highly specialized domains. In recent years, however, the machine learning (ML) revolution and the proliferation of ML libraries has made graph programming accessible to even novice programmers.
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For several decades, graph and dataflow programming models have been niche topics limited to a small number of highly specialized domains. In recent years, however, the machine learning (ML) revolution and the proliferation of ML libraries has made graph programming accessible to even novice programmers.
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2009 IEEE Hot Chips 21 Symposium (HCS), 2009
Optimization is a balancing act Things to consider: - Register usage / number of wavefronts in flight - ALU to memory access rat io ■ Sometimes better re-compute something - Workgroup size a multiple of 64 - Global size at least 2560 for a single ...
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Optimization is a balancing act Things to consider: - Register usage / number of wavefronts in flight - ALU to memory access rat io ■ Sometimes better re-compute something - Workgroup size a multiple of 64 - Global size at least 2560 for a single ...
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OpenCL Remote: Extending OpenCL Platform Model to Network Scale
2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems, 2012This paper presents OpenCL Remote framework that extends the native OpenCL platform model to network scale and utilizes the native OpenCL's support of heterogeneous computing. OpenCL Remote boosts performance by distributing computation over network to many compute devices in parallel.
Ridvan Özaydin, D. Turgay Altilar
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