Results 131 to 140 of about 401,991 (182)

Development of a GPU-based dose calculation engine for MRI-guided proton therapy. [PDF]

Med Phys
Gu Y, Wang Y, Liu M, Gong H, Yuan X, Lu HM, Yang Y.   +6 more
europepmc   +1 more source

Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reduction. [PDF]

Sci Rep
Li H, Liu J, Schell M, Huang T, Lauer A, Schregel K, Jesser J, Vollherbst DF, Bendszus M, Heiland S, Hilgenfeld T.   +10 more
europepmc   +1 more source

SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment. [PDF]

Elife
Haggerty DL, Darden CB, Lovinger D.
europepmc   +1 more source

A physics-informed foundation model for rapid high-fidelity structural response prediction. [PDF]

Nat Commun
Meng S, Zhou Y, Liao B, Chang M, Zhang T, Jafari A, Djerrad A.   +6 more
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.
Enrico Macii, Andrea Acquaviva, Elisa Ficarra   +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   +2 more sources

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

Accelerating Matrix Processing with GPUs

2017 IEEE 24th Symposium on Computer Arithmetic (ARITH), 2017
Matrix operations are common and expensive computations in a variety of applications. They occur frequently in high-performance computing, graphics, graph processing, and machine learning applications. This paper discusses how to map a variety of important matrix computations, including sparse matrix-vector multiplication (SpMV), sparse triangle solve (
Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte   +4 more
openaire   +2 more sources