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Proceedings of the IEEE, 2008 The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing systems. Over the past six years, therehas been a marked increase in the performance and capabilities ofGPUs. The modern GPU is not only a powerful graphics engine but also ahighly-parallel programmable processor featuring peak arithmetic andmemory bandwidth ...
John D Owens +2 more
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gem5-gpu: A Heterogeneous CPU-GPU Simulator [PDF]
IEEE Computer Architecture Letters, 2015 gem5-gpu is a new simulator that models tightly integrated CPU-GPU systems. It builds on gem5, a modular full-system CPU simulator, and GPGPU-Sim, a detailed GPGPU simulator. gem5-gpu routes most memory accesses through Ruby, which is a highly configurable memory system in gem5.
exaly +4 more sources
Meshless voronoi on the GPU [PDF]
ACM Transactions on Graphics, 2018 We propose a GPU algorithm that computes a 3 D Voronoi diagram. Our algorithm is tailored for applications that solely make use of the geometry of the Voronoi cells, such as Lloyd's relaxation used in meshing, or some numerical schemes used in fluid simulations and astrophysics. Since these applications only require
Nicolas Ray +2 more
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Geography, Environment, Sustainability, 2021 The relationship between the dynamics of the atmospheric pollutants and meteorological conditions has been analyzed during the COVID-19 pandemic in Moscow in spring, 2020.
N. Ye. Chubarova +2 more
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Big Computing: Where are we heading? [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 This paper presents the overview of the current trends of Big data against the computing scenario fromdifferent aspects. Some of the important aspect includes the Exascale, the computing power and the kind of applications which offer the Big data.
Sabuzima Nayak +2 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.
openaire +3 more sources
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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Frontiers in Earth Science, 2020 Probabilistic Tsunami Hazard Analysis (PTHA) quantifies the probability of exceeding a specified inundation intensity at a given location within a given time interval.
Steven J. Gibbons +21 more
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Regional Dimension of history of Organs of GPU-OGPU: to the analysis of monograph by A. B. Gularyan and A. Yu. Sarana [PDF]
Омский научный вестник: Серия "Общество. История. Современность", 2023 The article characterizes the monograph of the Oryol researchers A. B. Gularyan and A. Yu. Saran, specialists in the history of domestic special services.
A. V. Sushko
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FOCUS: fast Monte Carlo approach to coherence of undulator sources
Journal of Synchrotron Radiation, 2023 FOCUS (Fast Monte CarlO approach to Coherence of Undulator Sources) is a new GPU-based simulation code to compute the transverse coherence of undulator radiation from ultra-relativistic electrons.
M. Siano +10 more
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