Results 51 to 60 of about 173,867 (186)

TBEM: Testing-Based GPU-Memory Consumption Estimation for Deep Learning

IEEE Access, 2022
Deep Learning (DL) has been successfully implemented and deployed to various software service applications. During the training process of DL, a large amount of GPU computing resources is required, but it is difficult for developers to accurately ...
Haiyi Liu, Shaoying Liu, Chenglong Wen, W. Eric Wong   +3 more
doaj   +1 more source

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

, 2011
High-performance computing has recently seen a surge of interest in heterogeneous systems, with an emphasis on modern Graphics Processing Units (GPUs).
Ahmed Fasih, Andreas Klöckner, Bell, Bryan Catanzaro, Buck, Chandler, Dalcín, Eich, Feldman, Flanagan, Frigo, Group, Hestenes, Hesthaven, Kennedy, Klöckner, Lam, Langtangen, Lindholm, McCarthy, McCool, Nicolas Pinto, Oliphant, Owens, Paul Ivanov, Pinto, Pinto, Prud’homme, Reynders, Seiler, Stein, Valiant, van Hateren, Veldhuizen, Wang, Whaley, Yunsup Lee   +36 more
core   +1 more source

Parallelizing the cryo‐EM structure determination in THUNDER using GPU cluster

Engineering Reports
Electron cryo‐microscopy (cryo‐EM) is a powerful tool utilized by biologists for understanding the mysteries of life. However, obtaining high‐resolution 3D reconstructions from innumerable noisy images of macromolecules is an extremely complicated task ...
Zhao Wang, Huabin Ruan, Guangwen Yang, Xueming Li   +3 more
doaj   +1 more source

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

Frontiers in Big Data, 2021
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive.
Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey Krupa, Kevin Pedro, Nhan Tran, Nhan Tran   +10 more
doaj   +1 more source

NBODY6++GPU: Ready for the gravitational million-body problem

, 2015
Accurate direct $N$-body simulations help to obtain detailed information about the dynamical evolution of star clusters. They also enable comparisons with analytical models and Fokker-Planck or Monte-Carlo methods.
Aarseth, Sverre, Berczik, Peter, Kouwenhoven, M. B. N., Naab, Thorsten, Nitadori, Keigo, Spurzem, Rainer, Wang, Long   +6 more
core   +1 more source

A GPU Heterogeneous Cluster Scheduling Model for Preventing Temperature Heat Island

ITM Web of Conferences, 2017
With the development of GPU general-purpose computing, GPU heterogeneous cluster has become a widely used parallel data processing solution in modern data center.
Cao Yun-Peng, Wang Hai-Feng
doaj   +1 more source

Research on the Application and Performance Optimization of GPU Parallel Computing in Concrete Temperature Control Simulation

Buildings, 2023
With the development of engineering technology, engineering has higher requirements for the accuracy and the scale of simulation calculation. The computational efficiency of traditional serial programs cannot meet the requirements of engineering ...
Xuerui Zheng, Jiping Jin, Yajun Wang, Min Yuan, Sheng Qiang   +4 more
doaj   +1 more source

Performance and toolchain of a combined GPU/FPGA desktop [PDF]

, 2013
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculations. Combining the power of GPUs with the flexibility of FPGAs enlarges the scope of problems that can be accelerated.
Braeken, An, Cornelis, Jan G., D'Hollander, Erik, da Silva Gomes, Bruno, Lemeire, Jan, Touhafi, Abdellah   +5 more
core   +1 more source

Survey of using GPU CUDA programming model in medical image analysis

Informatics in Medicine Unlocked, 2017
With the technology development of medical industry, processing data is expanding rapidly and computation time also increases due to many factors like 3D, 4D treatment planning, the increasing sophistication of MRI pulse sequences and the growing ...
T. Kalaiselvi, P. Sriramakrishnan, K. Somasundaram   +2 more
doaj   +1 more source

An Efficient Parallel Framework for the Discrete Element Method Using GPU

Applied Sciences, 2022
The discrete element method (DEM), a discontinuum-based method to simulate the interaction between neighbouring particles of granular materials, suffers from intensive computational workload caused by massive particle numbers, irregular particle shapes ...
Youkou Dong, Dingtao Yan, Lan Cui
doaj   +1 more source