Results 51 to 60 of about 308,238 (274)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Efficient GPU Power Management through Advanced Framework Utilizing Optimization Algorithms [PDF]

Computer Science Journal of Moldova
The rapid rise in power usage by GPUs due to advances in machine and deep learning has led to an increase in power consumption of GPUs in Deep Learning workloads.
Ramesha Rehman, Mashood Ul Haq Chishti, Hamza Yamin   +2 more
doaj   +1 more source

Large-scale 3D fast Fourier transform computation on a GPU

ETRI Journal, 2023
We propose a novel graphics processing unit (GPU) algorithm that can handle a large-scale 3D fast Fourier transform (i.e., 3D-FFT) problem whose data size is larger than the GPU's memory.
Jaehong Lee, Duksu Kim
doaj   +1 more source

Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing

, 2017
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effective image retrieval by standardizing the bitstream syntax of compact ...
Chen, Jie, Duan, Lingyu, Gao, Wen, Huang, Tiejun, Kot, Alex C., See, Simon, Sun, Wei, Wang, Shiqi, Yin, Jianxiong, Zhang, Xinfeng   +9 more
core   +1 more source

A pilgrimage to gravity on GPUs [PDF]

, 2012
In this short review we present the developments over the last 5 decades that have led to the use of Graphics Processing Units (GPUs) for astrophysical simulations. Since the introduction of NVIDIA's Compute Unified Device Architecture (CUDA) in 2007 the
A. Ahmad, A. Gualandris, A. Tanikawa, E. Gaburov, E. Holmberg, E.N. Dorband, G.J. Sussman, J. Barnes, J. Bédorf, J. Bédorf, J. Goodman, J. Makino, J.H. Applegate, J.R. Hurley, K. Nitadori, L. Nyland, M. Fujii, P. Hut, R. Spurzem, R. Spurzem, R. Spurzem, R. Yokota, R.G. Belleman, R.H. Miller, S. Harfst, S. Inagaki, S. Portegies Zwart, S. Portegies Zwart, S. Portegies Zwart, S. von Hoerner, S.F. Portegies Zwart, S.F. Portegies Zwart, S.J. Aarseth, S.J. Aarseth, T. Fukushige, T.S. van Albada, W. Dehnen, W. Dehnen   +37 more
core   +3 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Comparative Study of the Execution Time of Parallel Heat Equation on CPU and GPU

Journal of Communications Software and Systems, 2021
Parallelization has become a universal technique for computing an intensive scientific simulation to shorten the execution time of complex problems. It consists of bringing together the power of several thousand processors to perform complex calculations
Safa Belhaous, Soumia Chokri, Sohaib Baroud, Mohamed Mestari   +3 more
doaj   +1 more source

Parallelising wavefront applications on general-purpose GPU devices [PDF]

, 2010
Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres. This paper investigates the viability of graphics processing units (GPUs) for the acceleration of these codes, using ...
Hammond, Simon D., Jarvis, Stephen A., Mudalige, Gihan R., Pennycook, Simon J.   +3 more
core  

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

, 2016
The most widely used machine learning frameworks require users to carefully tune their memory usage so that the deep neural network (DNN) fits into the DRAM capacity of a GPU. This restriction hampers a researcher's flexibility to study different machine
Clemons, Jason, Gimelshein, Natalia, Keckler, Stephen W., Rhu, Minsoo, Zulfiqar, Arslan   +4 more
core   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source