Results 51 to 60 of about 1,689,660 (282)

Offloading IDS Computation to the GPU [PDF]

2006 22nd Annual Computer Security Applications Conference (ACSAC'06), 2006
Signature-matching Intrusion Detection Systems can experience significant decreases in performance when the load on the IDS-host increases. We propose a solution that off-loads some of the computation performed by the IDS to the Graphics Processing Unit (GPU). Modern GPUs are programmable, stream-processors capable of high-performance computing that in
Nigel Jacob, Carla E. Brodley
openaire   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

High-Performance Homomorphic Matrix Completion on Multiple GPUs

IEEE Access, 2020
In various applications such as trajectory tracking in mobile social networks and online recommendation systems, the massive raw data are often incomplete due to various unpredictable or unavoidable reasons. Matrix completion algorithms are effective for
Tao Zhang, Han Lu, Xiao-Yang Liu
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

CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler [PDF]

, 2009
This article introduces Nohalo level 1 (“Nohalo”), the simplest member of a family of image resamplers which straighten diagonal interfaces without adding noticeable nonlinear artifacts. Nohalo is interpolatory, co-monotone, coconvex, antialiasing, local
Robidoux, N, John Cupitt, Kirk Martinez, Nicolas Robidoux, Minglun Gong, Turcotte, A, Adam Turcotte, Gong, M, Cupitt, J, Martinez, K   +9 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +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

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

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Embedding GPU Computations in Hadoop

International Journal of Networked and Distributed Computing, 2014
As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems. To tackle with all of them without sacrificing performance, traditional approaches in resource utilization, task scheduling and programming ...
Jie Zhu, Hai Jiang 0003, Juanjuan Li, Erikson Hardesty, Kuan-Ching Li, Zhongwen Li   +5 more
openaire   +3 more sources