Results 31 to 40 of about 39,047 (336)
GPU Hızlandırmalı Veri Demetleme Algoritmalarının İncelenmesi
Online Academic Journal of Information Technology, 2013 Veri demetleme algoritmaları, arama; spam, saldırı tespiti; hücre, gen, doküman analizi; moleküler dinamik simülasyonlarının biçimlerinin analizi gibi uygulamalar için oldukça önemlidirler.
Murat Hacıömeroğlu +1 more
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Performance analysis of CUDA, OpenACC and OpenMP programming models on TESLA V100 GPU
Journal of Physics: Conference Series, 2021 Graphics processors are widely utilized in modern supercomputers as accelerators. Ability to perform efficient parallelization and low-level allow scientists to greatly boost performance of their codes.
M. Khalilov, Alexey Timoveev
semanticscholar +1 more source
Modeling and analyzing evaluation cost of CUDA kernels
Proc. ACM Program. Lang., 2021 General-purpose programming on GPUs (GPGPU) is becoming increasingly in vogue as applications such as machine learning and scientific computing demand high throughput in vector-parallel applications.
Stefan K. Muller, Jan Hoffmann
semanticscholar +1 more source
Вестник КазНУ. Серия математика, механика, информатика, 2021 Важным направлением развития методов численного моделирования являются исследования приближенных методов решения задач математической физики в сложных многомерных областях.
A N. Temirbekov +3 more
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Zhejiang Daxue xuebao. Lixue ban, 2011 为提高单个计算节点创建影像金字塔的速度，本研究首先将GPU并行技术用于加速影像重采样算法.影像重采样算法是影像金字塔创建算法的核心步骤，由于金字塔创建过程中数据量会不断发生变化，而数据量的大小直接影响GPU重采样算法效率.提出了一种基于阈值的金字塔遥感影像创建算法，算法将GPU并行与CPU串行遥感影像重采样算法结合，在创建影像金字塔时，依据阈值动态选择不同的重采样算法，并将本算法应用到土地遥感影像金字塔管理中.实验采用大小为10371×7945的24位遥感影像进行测试，结果表明 ...
KANGJun-feng(康俊锋) +3 more
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Serial and parallel implementation of Needleman-Wunsch algorithm
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and finds the optimal pair given the number of sequences.
Yun Sup Lee, Yu Sin Kim, Roger Luis Uy
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Jurnal Masyarakat Informatika, 2023 Compute Unified Device Architecture (CUDA) adalah Application Programming Interface (API) NVIDIA dan platform yang memungkinkan akses langsung ke set instruksi GPU dan memberi dukungan untuk berinteraksi dengan GPU terkait komputasi paralel. Dengan CUDA,
Arjuna Wahyu Kusuma +3 more
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Zhejiang Daxue xuebao. Lixue ban, 2014 在分析GPU并行架构和CUDA灵活可编程性基础上，提出了一种基于区间块搜索的等值线并行提取方法，可应用于全球海洋表面温度格网数据的分析.算法有效减少了等值线追踪过程中重复性的格网遍历及不必要的格网搜索.最后，实验采用了不同规模的海表温度场格网数据进行等值线的提取并比较串并行耗时，结果表明：(1)算法能实现全球海洋表面温度等值线的有效提取并提高其效率，尤其对于大规模格网数据；(2)基于所有实验数据，格网规模大于720×1 440时，相较于串行过程GPU执行体现了其效率上的优势 ...
QIANChen(钱宸) +4 more
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Detecting Undefined Behaviors in CUDA C
IEEE Access, 2019 With the increasing deployment of GPUs in many domains, it is important to enhance the dependability of GPU-based systems especially in mission critical environments.
Wentao Li, Jianhua Sun, Hao Chen
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GPU Computing with Python: Performance, Energy Efficiency and Usability
Computation, 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).
Håvard H. Holm +2 more
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