Results 51 to 60 of about 401,991 (182)
Accelerating discrete wavelet transforms on GPUS [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt with lifting and convolution computation schemes.
David Barina +3 more
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A rapid random flow generator based on ‘GPU stream cubes’ for turbulent wind fields
Engineering Applications of Computational Fluid MechanicsThe computational efficiency bottlenecks of existing random flow generators were analysed. To address these bottlenecks, a three-dimensional turbulent wind field random parallel generator based on GPU (Graphics Processing Unit) acceleration strategies ...
Sunce Liao +5 more
doaj +1 more source
Accelerating recommender systems using GPUs [PDF]
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015 We describe GPU implementations of the matrix recommender algorithms CCD++ and ALS. We compare the processing time and predictive ability of the GPU implementations with existing multi-core versions of the same algorithms. Results on the GPU are better than the results of the multi-core versions (maximum speedup of 14.8).
André Valente Rodrigues +2 more
openaire +4 more sources
Identifying attributes of GPU programs for difficulty evaluation
South African Computer Journal, 2014 General-purpose computation on graphics processing units (GPGPU) has great potential to accelerate many scientific models and algorithms. However, some problems are considerably more difficult to accelerate than others, and it may be challenging for ...
Dale Tristram, Karen Bradshaw
doaj
Accelerating Query-By-Humming On Gpu.
, 2009 [TODO] Add abstract here.
Pascal Ferraro +3 more
openaire +2 more sources
GPU acceleration for statistical gene classification [PDF]
, 2010 The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms.
Stefano Di Carlo +7 more
core +1 more source
High-Resolution Hogel Image Generation Using GPU Acceleration
PhotonicsA holographic stereogram displays reconstructed 3D images by rearranging multiple 2D viewpoint images into small holographic pixels (hogels). However, conventional CPU-based hogel generation processes these images sequentially, causing computation times ...
Hyunmin Kang +2 more
doaj +1 more source
Modeling of soft tissue thermal damage based on GPU acceleration
Computer Assisted Surgery, 2019 Hyperthermia treatments require precise control of thermal energy to form the coagulation zones which sufficiently cover the tumor without affecting surrounding healthy tissues.
Jinao Zhang +5 more
doaj +1 more source
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018 The field of pedestrian detection has come a long way in recent decades. In terms of accuracy, the current state-of-the-art is hands down reached by Deep Learning methods. However in terms of running speed this is not always the case, traditional methods are often still faster than their Deep Learning counterparts.
Van Ranst, Wiebe +2 more
openaire +3 more sources
GPU based parallel acceleration for fast C-arm cone-beam CT reconstruction
BioMedical Engineering OnLine, 2018 Background With the introduction of Flat Panel Detector technology, cone-beam CT (CBCT) has become a novel image modality, and widely applied in clinical practices.
Ken Chen +3 more
doaj +1 more source