Results 21 to 30 of about 13,771 (177)
Visualizing classification of natural video sequences using sparse, hierarchical models of cortex. [PDF]
, 2011 Recent work on hierarchical models of visual cortex has reported state-of-the-art accuracy on whole-scene labeling using natural still imagery. This raises the question of whether the reported accuracy may be due to the sophisticated, non-biological
Garrett Kenyon +4 more
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The Journal of the Institute of Image Information and Television Engineers, 2015 ???????????????????????? ???????????????????????? ?????????????????? ???????????????????????????? ?????????????? ???????????????????????? ????????????????????, ???? ???????????????????? ???????????????????? ???? ?????????????????????? ???????????? ?????????????????????????? ?????????????????? ?????????????? ?????? ???????????? ?? ?????????????? ????????
openaire +4 more sources
GENETIC ALGORITHM ON GENERAL PURPOSE GRAPHICS PROCESSING UNIT: PARALLELISM REVIEW [PDF]
ICTACT Journal on Soft Computing, 2013 Genetic Algorithm (GA) is effective and robust method for solving many optimization problems. However, it may take more runs (iterations) and time to get optimal solution.
A.J. Umbarkar, M.S. Joshi, N.M. Rothe
doaj
Simulasi numerik large-deformation surface wave dengan smoothed particle hydrodynamics
Kapal, 2019 Studi mengenai gelombang permukaan(surface wave) telah banyak dilakukan baik secara eksperimen, teoritis maupun komputasi. Perkembangan teknologi komputer membuat komputasi dinamika fluida komputasi menjadi lebih cepat dan efisien salah teknologi untuk ...
Andi Trimulyono, Ardhana Wicaksono
doaj +1 more source
GPGPU Linear Complexity t-SNE Optimization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2020 The t-distributed Stochastic Neighbor Embedding (tSNE) algorithm has become in recent years one of the most used and insightful techniques for the exploratory data analysis of high-dimensional data. tSNE reveals clusters of high-dimensional data points at different scales while it requires only minimal tuning of its parameters. Despite these advantages,
Pezzotti, N. +7 more
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Visual Simulation of Soil-Microbial System Using GPGPU Technology
Computation, 2015 General Purpose (use of) Graphics Processing Units (GPGPU) is a promising technology for simulation upscaling; in particular for bottom–up modelling approaches seeking to translate micro-scale system processes to macro-scale properties.
Ruth E. Falconer, Alasdair N. Houston
doaj +1 more source
“XANSONS for COD”: a new small BOINC project in crystallography
Open Engineering, 2018 “XANSONS for COD” (http://xansons4cod.com) is a new BOINC project aimed at creating the open-access database of simulated x-ray and neutron powder diffraction patterns for nanocrystalline phase of materials from the collection of the Crystallography Open
Neverov Vladislav S., Khrapov Nikolay P.
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Study of access template to graphics engine GM effect on the performance
Advanced Engineering Research, 2016 The work objective is to study the effect of the graphical processor unit computational cores load level and memory access pattern on the memory bus bandwidth and scaling acceleration.
RomanV. . Arzumanyan +1 more
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Scalable Method of Searching for Full-period Nonlinear Feedback Shift Registers with GPGPU. New List of Maximum Period NLFSRs. [PDF]
International Journal of Electronics and Telecommunications, 2018 This paper addresses the problem of efficient searchingfor Nonlinear Feedback Shift Registers (NLFSRs) with a guaranteed full period. The maximum possible period for an n-bit NLFSR is 2n1 (an all-zero state is omitted).
Paweł Augustynowicz, Krzysztof Kanciak
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Contract-Based General-Purpose GPU Programming [PDF]
, 2014 Using GPUs as general-purpose processors has revolutionized parallel computing by offering, for a large and growing set of algorithms, massive data-parallelization on desktop machines.
Kolesnichenko, Alexey +3 more
core +5 more sources