Results 271 to 280 of about 16,671 (310)

FastSCODE: an accelerated SCODE algorithm for inferring gene regulatory networks on manycore processors. [PDF]

Bioinformatics
Sung R, Woo S, Shin D, Kim J, Lee D.
europepmc   +1 more source

Micro-Computed Tomography beamline at the Australian Synchrotron: data acquisition and processing pipeline. [PDF]

J Synchrotron Radiat
Thompson D, Arhatari BD, Stevenson A.
europepmc   +1 more source

A parallel magnetic tunnel junction-based probabilistic Ising processor for efficient quadratic optimization. [PDF]

Nat Commun
Yang S, Bao Y, Humianto E, Prabhakar A, Yang H.   +4 more
europepmc   +1 more source

Efficient optimization accelerator framework for multi-state spin Ising problems. [PDF]

Nat Commun
Garg C, Salahuddin S.
europepmc   +1 more source

Acceleration of coarse grain molecular dynamics on GPU architectures [PDF]

Journal of Computational Chemistry, 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.
Ardita Shkurti, Mario Orsi, Enrico Macii   +2 more
exaly   +2 more sources

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GPU accelerated 3DES encryption

Concurrency and Computation: Practice and Experience, 2021
AbstractTriple DES (3DES) is a NIST and ISO/IEC standard block cipher that is also used in some web browsers and several electronic payment applications. We propose an optimized bit‐level parallelization of 3DES for GPU accelerated encryption to allow processing high volumes of data.
Kaan Furkan Altinok, Afsin Peker, Cihangir Tezcan, Alptekin Temizel   +3 more
openaire   +1 more source

GPU-accelerated CellProfiler

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
CellProfiler excels at bridging the gap between advanced image analysis algorithms and scientists who lack computational expertise. It lacks however high performance capabilities needed for High Throughput Imaging experiments where workloads reach hundreds of TB of data and are computationally very demanding.
Imen Chakroun, Nick Michiels, Roel Wuyts
openaire   +2 more sources

Accelerating Triangle Counting on GPU

Proceedings of the 2021 International Conference on Management of Data, 2021
Triangle counting is an important problem in graph mining, which has achieved great performance improvement on GPU in recent years. Instead of proposing a new GPU triangle counting algorithm, in this paper, we propose a novel lightweight graph preprocessing method to boost many state-of-the-art GPU triangle counting algorithms without changing their ...
Lin Hu, Lei Zou 0001, Yu Liu 0070
openaire   +1 more source

GPU accelerated NEH algorithm

2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS), 2014
This research aims to develop a CUDA accelerated NEH algorithm for the permutative flowshop scheduling problem with makespan criterion. NEH has been shown in the literature as the best constructive heuristic for this particular problem. The CUDA based NEH aims to speed up the processing time by utilising the GPU cores for parallel evaluation.
Magdalena Metlicka, Donald Davendra, Frank Hermann 0002, Markus Meier, Matthias Amann   +4 more
openaire   +1 more source

GPU-accelerated charge mapping

2016 IEEE High Performance Extreme Computing Conference (HPEC), 2016
Charge Mapping is critical to electrostatics computations such as performed in Molecular Dynamics simulations. It reduces the complexity of evaluating long-range Coulombic forces by diffusing discrete particle charges onto a regular grid. Acceleration of this stage using GPUs is non-trivial, with the compute and memory intensive nature of the algorithm
Ahmed Sanaullah, Saiful A. Mojumder, Kathleen M. Lewis, Martin C. Herbordt   +3 more
openaire   +1 more source