Results 141 to 150 of about 401,991 (182)

A survey of GPU accelerated SVM

Proceedings of the 2014 ACM Southeast Regional Conference, 2014
Support Vector Machines (SVM) is a set of machine learning algorithms that have been widely used in diverse domains. As the volume of data generated by humans and machines increases year by year, the traditional training algorithms for SVM become infeasible for large scale datasets. Mathematical optimization approaches and computing parallel techniques
Yunmei Lu, Yun Zhu, Meng Han, Jing (Selena) He, Yanqing Zhang 0001   +4 more
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A GPU accelerated storage system

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010
Massively multicore processors, like, for example, Graphics Processing Units (GPUs), provide, at a comparable price, a one order of magnitude higher peak performance than traditional CPUs. This drop in the cost of computation, as any order-of-magnitude drop in the cost per unit of performance for a class of system components, triggers the opportunity ...
Abdullah Gharaibeh, Samer Al-Kiswany, Sathish Gopalakrishnan, Matei Ripeanu   +3 more
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Accelerating Secret Sharing on GPU

2019
A (k, n) threshold secret sharing scheme encrypts a secret s into n parts (called shares), which are distributed to n participants, such that any k participants can recover s using their shares, any group of less than k ones cannot. A robust threshold sharing scheme provides not only the perfect security, but also the tolerance of a possible loss of up
Shyong Jian Shyu, Ying Zhen Tsai
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GPU Accelerated Genetic Clustering

2012
Genetic and evolutionary algorithms have been used to find clusters in data with success. Unfortunately, evolutionary clustering suffers from the high computational costs when it comes to fitness function evaluation. The GPU computing is a recent programming and development paradigm introducing high performance parallel computing to general audience ...
Pavel Krömer, Jan Platos, Václav Snásel   +2 more
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GPU Acceleration of the caffa3d.MB Model

2012
This work presents a study of porting Strongly Implicit Procedure (SIP) solver to GPU in order to improve its computational efficiency. The SIP heptadiagonal linear system solver was evaluated to be the most time consuming stage in finite volume flow solver caffa3d.MB .
Pablo Igounet, Pablo Alfaro, Gabriel Usera, Pablo Ezzatti   +3 more
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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
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Accelerating the Kalman Filter on a GPU

2011 IEEE 17th International Conference on Parallel and Distributed Systems, 2011
For linear dynamic systems with hidden states, the Kalman filter can estimate the system state and its error covariance considering the uncertainties in transition and observation models. In each iteration of applying the Kalman filter, the two phases of predict and update contain a total of 18 matrix operations which include addition, subtraction ...
Min-Yu Huang, Shih-Chieh Wei, Bormin Huang, Yang-Lang Chang   +3 more
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GPU accelerated dislocation dynamics

Journal of Computational Physics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francesco Ferroni, Edmund Tarleton, Steven Fitzgerald   +2 more
openaire   +3 more sources

GPU Acceleration for Hermitian Eigensystems

2013
As a recurrent problem in numerical analysis and computational science, eigenvector and eigenvalue determination usually employs high-performance linear algebra libraries. This paper explores the implementation of high-performance routines for the solution of multiple large Hermitian eigenvector and eigenvalue systems on a Graphics Processing Unit (GPU)
Garba, Michael T., González-Vélez, Horacio, Roach, Daniel L.   +2 more
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Acceleration of Word2vec Using GPUs

2016
Word2vec is a widely used word embedding toolkit which generates word vectors by training input corpus. Since word vector can represent an exponential number of word cluster and enables reasoning of words with simple algebraic operations, it has become a widely used representation for the subsequent NLP tasks.
Seulki Bae, Youngmin Yi
openaire   +1 more source