Results 121 to 130 of about 1,012 (185)
A novel cryptographic framework and mathematical modeling for secure transmission of Parkinson's disease data using RSA and block-based secret sharing. [PDF]
Sci RepSambandham T +5 more
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Within-chain parallelization-Giving Stan Jet Fuel for population modeling in pharmacometrics. [PDF]
CPT Pharmacometrics Syst PharmacolDavis C, Vaddady P.
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USE-SVI: A reproducible pipeline for sampling, acquiring, and stitching Street View imagery to support urban analytics. [PDF]
MethodsXBetco I, Viana CM, Rocha J.
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Determination of Quantum Yield in Scattering Media Using Monte Carlo Photoluminescence Cascade Simulation and Integrating Sphere Measurements. [PDF]
Materials (Basel)Gelbing P +3 more
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Configurational entropy and Adam-Gibbs relation for quantum liquids. [PDF]
Nat CommunZhou Y +3 more
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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.
openaire +1 more source