Importance of Explicit Vectorization for CPU and GPU Software Performance
, 2010 Much of the current focus in high-performance computing is on multi-threading, multi-computing, and graphics processing unit (GPU) computing. However, vectorization and non-parallel optimization techniques, which can often be employed additionally, are ...
Allen +20 more
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Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics
Applied SciencesThis work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for ...
David Herrero-Pérez +1 more
doaj +1 more source
Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields
International Journal of Digital Earth, 2019 The Markov chain random field (MCRF) model is a spatial statistical approach for modeling categorical spatial variables in multiple dimensions. However, this approach tends to be computationally costly when dealing with large data sets because of its ...
Weixing Zhang +3 more
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A Heterogeneous Parallel Cholesky Block Factorization Algorithm
IEEE Access, 2018 As an essential part of current mainstream computing systems, GPUs are not only powerful graphics engines but also highly parallel programmable processors.
Rongteng Wu
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Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units
, 2010 I introduce a new code for fast calculation of the Lomb-Scargle periodogram, that leverages the computing power of graphics processing units (GPUs). After establishing a background to the newly emergent field of GPU computing, I discuss the code design ...
Aubert +14 more
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GPU Acceleration of Hydraulic Transient Simulations of Large-Scale Water Supply Systems
Applied Sciences, 2018 Simulating hydraulic transients in ultra-long water (oil, gas) transmission or large-scale distribution systems are time-consuming, and exploring ways to improve the simulation efficiency is an essential research direction. The parallel implementation of
Wanwan Meng +5 more
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MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture
Sensors, 2022 The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal
Gaogao Liu +8 more
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Gunrock: A High-Performance Graph Processing Library on the GPU
, 2016 For large-scale graph analytics on the GPU, the irregularity of data access and control flow, and the complexity of programming GPUs have been two significant challenges for developing a programmable high-performance graph library.
Cederman D. +7 more
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Air pollution modelling using a graphics processing unit with CUDA [PDF]
, 2009 The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been ...
Lagzi, Istvan +3 more
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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 +4 more
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