Results 11 to 20 of about 156,766 (287)
A Modular Framework for Deformation and Fracture using GPU Shaders [PDF]
, 2012 Advances in the graphical realism of modern video games have been achieved mainly through the development of the GPU (Graphics Processing Unit), providing a dedicated graphics co-processor and framebuffer.
Anderson, Eike F. +5 more
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Multi-GPU MapReduce on GPU Clusters [PDF]
2011 IEEE International Parallel & Distributed Processing Symposium, 2011 We present GPMR, our stand-alone MapReduce library that leverages the power of GPU clusters for large-scale computing. To better utilize the GPU, we modify MapReduce by combining large amounts of map and reduce items into chunks and using partial reductions and accumulation.
Stuart, Jeff A., Owens, John D.
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ACM Transactions on Architecture and Code Optimization, 2016 Over the last decade, Graphics Processing Unit (GPU) architectures have evolved from a fixed-function graphics pipeline to a programmable, energy-efficient compute accelerator for massively parallel applications. The compute power arises from the GPU’s Single Instruction/Multiple Threads architecture: concurrently running many threads and executing ...
van den Braak, G.J., Corporaal, H.
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Acceleration of Coarse Grain Molecular Dynamics on GPU Architectures [PDF]
, 2013 Coarse grain (CG) molecular models have been proposed to simulate complex sys- tems with lower computational overheads and longer timescales with respect to atom- istic level models.
Acquaviva*, Andrea +11 more
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Sensors, 2021 HyperSpectral (HS) images have been successfully used for brain tumor boundary detection during resection operations. Nowadays, these classification maps coexist with other technologies such as MRI or IOUS that improve a neurosurgeon’s action, with their
Jaime Sancho +8 more
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Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016 Multisplit is a broadly useful parallel primitive that permutes its input data into contiguous buckets or bins , where the function that categorizes an element into a bucket is provided by the programmer.
Ashkiani, Saman +3 more
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To GPU synchronize or not GPU synchronize? [PDF]
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010 The graphics processing unit (GPU) has evolved from being a fixed-function processor with programmable stages into a programmable processor with many fixed-function components that deliver massive parallelism. By modifying the GPU's stream processor to support “general-purpose computation” on the GPU (GPGPU), applications that perform massive vector ...
Wu-chun Feng, Shucai Xiao
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Solvers on Advanced Parallel Architectures with Application to Partial Differential Equations and Discrete Optimisation [PDF]
, 2014 This thesis investigates techniques for the solution of partial differential equations (PDE) on advanced parallel architectures comprising central processing units (CPU) and graphics processing units (GPU). Many physical phenomena studied by scientists
Czapinski, Michal
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Optimizations for linear solvers in OpenFOAM for MPI + CUDA platform
Труды Института системного программирования РАН, 2018 We describe an implementation of conjugate gradient method on heterogeneous platforms (multiple nodes with GPU accelerators) to be used in OpenFOAM. Several optimizations are described.
A. V. Monakov, V. A. Platonov
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A Comparative Study of the Implementation of SJF and SRT Algorithms on the GPU Processor Using CUDA [PDF]
EAI Endorsed Transactions on Internet of Things, 2021 GPU (Graphical Processing Units) have become in a few years very powerful tools for parallel computing. They are currently used in several fields such as image processing, bioinformatics, medical applications and numerical computation...etc.
Youness Rtal, Abdelkader Hadjoudja
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