Results 41 to 50 of about 1,689,660 (282)

GPU-Accelerated Target Strength Prediction Based on Multiresolution Shooting and Bouncing Ray Method

Applied Sciences, 2022
The application of the traditional planar acoustics method is limited due to the low accuracy when computing the echo characteristics of underwater targets. Based on the concept of the shooting and bouncing ray which considers multiple reflections on the
Gang Zhao, Naiwei Sun, Shen Shen, Xianyun Wu, Li Wang   +4 more
doaj   +1 more source

GPU Computing with Python: Performance, Energy Efficiency and Usability [PDF]

, 2020
In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU).
Holm, Håvard Heitlo, Håvard H. Holm, Sætra, Martin Lilleeng, André R. Brodtkorb, Brodtkorb, André R., Martin L. Sætra   +5 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

On the acceleration of wavefront applications using distributed many-core architectures [PDF]

, 2011
In this paper we investigate the use of distributed graphics processing unit (GPU)-based architectures to accelerate pipelined wavefront applications—a ubiquitous class of parallel algorithms used for the solution of a number of scientific and ...
Jarvis, S. A.; id_orcid, Pennycook, Simon J., S. J. Pennycook, Mudalige, Gihan R., G. R. Mudalige, Jarvis, Stephen A., S. D. Hammond, Wright, Steven A., Pennycook, S. J., Jarvis, S. A., Hammond, Simon D., S. A. Wright, Hammond, S. D., S. A. Jarvis, Mudalige, G. R., Wright, S. A.   +15 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

GPU cards as a low cost solution for efficient and fast classification of high dimensional gene expression datasets [PDF]

, 2010
The days when bioinformatics tools will be so reliable to become a standard aid in routine clinical diagnostics are getting very close. However, it is important to remember that the more complex and advanced bioinformatics tools become, the more ...
Scionti, A., Politano, Gianfranco Michele Maria, Benso, Alfredo, Di Carlo, Stefano, Savino, Alessandro   +4 more
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

vkpolybench: A crossplatform Vulkan Compute port of the PolyBench/GPU benchmark suite

SoftwareX, 2021
PolyBench is a well-known set of benchmarks characterized by embarrassingly parallel kernels able to run on Graphic Processing Units (GPUs). While Polybench GPU kernels leverage well-established GP-GPU APIs such as CUDA and OpenCL, in this paper we ...
Nicola Capodieci, Roberto Cavicchioli
doaj   +1 more source

Is GPU the future of Scientific Computing ?

Annales mathématiques Blaise Pascal, 2013
These past few years, new types of computational architectures based on graphics processors have emerged. These technologies provide important computational resources at low cost and low energy consumption. Lots of developments have been done around GPU and many tools and libraries are now available to implement efficiently softwares on those ...
Cottet, Georges-Henri, Etancelin, Jean-Matthieu, Pérignon, Franck, Picard, Christophe, de Vuyst, Florian, Labourdette, Christophe   +5 more
openaire   +3 more sources