Search Results - single‐instruction‐multiple‐threads pattern

Fully GPU-based electromagnetic transient simulation considering large-scale control systems for system-level studies by Song, Yankan, Chen, Ying, Huang, Shaowei, Xu, Yin, Yu, Zhitong, Marti, Jose R

“…As more generators and loads are integrated by power electronic converters with complicated controls, electromagnetic transients (EMTs) simulation becomes an…”
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A Quantitative Method to Data Reuse Patterns of SIMT Applications by Lai, Bo-Cheng Charles, Garrido Platero, Luis, Hsien-Kai Kuo

“… The emerging Single Instruction Multiple Threads (SIMT) processor adopts a programming model that is fundamentally disparate from conventional scalar processors…”
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Massively parallel differential evolution—pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems by Zhu, Weihang

“… In this paper, the classical DE was adapted in the data-parallel CPU-GPU heterogeneous computing platform featuring Single Instruction-Multiple Thread (SIMT) execution…”
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Cluster-based approach for improving graphics processing unit performance by inter streaming multiprocessors locality by Keshtegar, Mohammad Mahdi, Falahati, Hajar, Hessabi, Shaahin

“… As GPUs employ multithreading to hide latency, there is a small private data cache in each single instruction multiple thread (SIMT) core…”
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Parallel ant colony for nonlinear function optimization with graphics hardware acceleration by Weihang Zhu, Curry, J.

“… `single instruction - multiple thread' (SIMT). The global optimal search of the ACO is enhanced by the classical local pattern search (PS) method…”
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Contention-Aware Selective Caching to Mitigate Intra-Warp Contention on GPUs by Kyoshin Choo, Troendle, David, Gad, Esraa A., Byunghyun Jang

“… However, the behavior and effect of the cache on GPUs are different from those on conventional processors due to the Single Instruction Multiple Thread (SIMT…”
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GPU accelerated multilevel fast physical optics algorithm for radiation from non-planar apertures by Milo, Matan, Galanti, Barak, Boag, Amir

“…Acceleration of the multilevel physical optics (MLPO) algorithm using the single instruction multiple threads (SIMT…”
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Nonlinear optimization with a massively parallel Evolution Strategy–Pattern Search algorithm on graphics hardware by Zhu, Weihang

“… ‘Single Instruction Multiple Thread’ (SIMT). Evolution Strategy is a population-based evolutionary algorithm for solving complex optimization problems…”
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Accelerated parametric chamfer alignment using a parallel, pipelined GPU realization by Elliethy, Ahmed, Sharma, Gaurav

“…Parametric chamfer alignment (PChA) is commonly employed for aligning an observed set of points with a corresponding set of reference points. PChA estimates…”
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gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs by Gaihre, Anil, Li, Xiaoye Sherry, Liu, Hang

“…Decomposing a matrix <inline-formula><tex-math notation="LaTeX">\mathbf {A}</tex-math> <mml:math><mml:mi…”
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cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs by Zhang, Tao, Liu, Xiao-Yang, Wang, Xiaodong, Walid, Anwar

“…Tensors are the cornerstone data structures in high-performance computing, big data analysis and machine learning. However, tensor computations are…”
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Hardware Accelerators for Real-Time Face Recognition: A Survey by Baobaid, Asma, Meribout, Mahmoud, Tiwari, Varun Kumar, Pena, Juan Pablo

“…Real-time face recognition has been of great interest in the last decade due to its wide and varied critical applications which include biometrics, security in…”
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Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms by Curtis, Nicholas J., Niemeyer, Kyle E., Sung, Chih-Jen

“…) and single-instruction, multiple thread (SIMT) paradigms. These are implemented in pyJac, an open-source, reproducible code generation…”
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Simultaneous branch and warp interweaving for sustained GPU performance by Brunie, Nicolas, Collange, Caroline, Diamos, Gregory

“…Instruction Multiple-Thread (SIMT) micro-architectures implemented in Graphics Processing Units (GPUs) run fine-grained threads in lockstep by grouping them…”
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Acceleration of Bilateral Filtering Algorithm for Manycore and Multicore Architectures by Agarwal, D., Wilf, S., Dhungel, A., Prasad, S. K.

“… patterns as per the computations to exploit special purpose instructions. We also propose optimizations pertinent to Nvidia's Compute Unified Device…”
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Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms by Curtis, Nicholas J, Niemeyer, Kyle E, Chih-Jen Sung

“…) and single-instruction, multiple thread (SIMT) paradigms. These are implemented in pyJac, an open-source, reproducible code generation…”
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An efficient STT-RAM-based register file in GPU architectures by Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Li, Yiran Chen

“…Modern GPGPUs employ a large register file (RF) to efficiently process heavily parallel threads in single instruction multiple thread (SIMT) fashion…”
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Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms by Zhuo Feng, Peng Li

“… For the first time, we show how to exploit recent massively parallel single-instruction multiple-thread (SIMT…”
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Fast 1-itemset frequency count using CUDA by Uy, Roger Luis, Marcos, Nelson

“… Thus there is a need to speed-up this process. One of the techniques to speed-up the process is using the Single Instruction Multiple Thread (SIMT) architecture…”
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GSoFa: Scalable Sparse Symbolic LU Factorization on GPUs by Gaihre, Anil, Li, Xiaoye S, Liu, Hang

“…Decomposing matrix A into a lower matrix L and an upper matrix U, which is also known as LU decomposition, is an essential operation in numerical linear…”
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