Mostrando 1,201 - 1,220 Resultados de 2,741 Para Buscar '"CPU"', tiempo de consulta: 0.17s Limitar resultados
  1. 1201
  2. 1202
  3. 1203
    por Zheng, Xianbin, He, Tian
    Publicado 2023
    “…Experimental results show that the detection accuracy of the algorithm model is comparable to that of common algorithms, and the power consumption is much lower than that of the CPU and GPU. After deployment, the accelerator has a fast inference speed and is suitable for deployment on mobile devices to detect the surrounding environment.…”
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  4. 1204
    por True, Julian, Khan, Naimul
    Publicado 2023
    “…MOVEX enables low-latency video object detection on common CPU-based systems, thus allowing for high-performance video object detection beyond the domain of GPU computing.…”
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  5. 1205
    “…We mean to make advanced FLIM analysis more accessible to researchers through a cloud-based solution that 1) harnesses robust computational resources, 2) eliminates hardware limitations, and 3) supports both CPU and GPU processing. We envision a paradigm shift in FLIM data accessibility and potential, aligning with the evolving field of artificial intelligence-driven FLIM analysis. …”
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  6. 1206
    por Bonfield, James K., Whitwham, Andrew
    Publicado 2010
    “…We analyse the memory, CPU, I/O usage and file sizes used by Gap5. Availability and Implementation: Gap5 is part of the Staden Package and is available under an Open Source licence from http://staden.sourceforge.net. …”
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  7. 1207
    “…Compared to a multithreaded CPU implementation of the same algorithm, our GPU mapping achieves a speedup factor of up to 40 times.…”
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    Online Artículo Texto
  8. 1208
    por Schweiger, Martin
    Publicado 2011
    “…We present solutions for both time-domain and frequency-domain problems. A comparison with a CPU-based implementation shows significant performance gains of the graphics accelerated solution, with improvements of approximately a factor of 10 for double-precision computations, and factors beyond 20 for single-precision computations. …”
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  9. 1209
    “…A comparison of optimized CPU and GPU implementations shows that the reconstruction can be accelerated by factors of about 15 through the use of the graphics hardware without compromising the accuracy in the reconstructed images.…”
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  10. 1210
    por Jamroz, Michal, Kolinski, Andrzej
    Publicado 2013
    “…CONCLUSIONS: The application was highly optimized and written in C/C++, including the code for parallel execution on CPU and GPU, which resulted in a significant speedup over similar clustering and scoring computation programs.…”
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  11. 1211
    “…Here, we describe our adaptation of DARC for use on Graphics Processing Units (GPUs), leading to a speedup of approximately 27-fold in typical-use cases over the corresponding calculations carried out using a CPU alone. This dramatic speedup of DARC will enable screening larger compound libraries, screening with more conformations of each compound, and including multiple receptor conformations when screening. …”
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    Online Artículo Texto
  12. 1212
    por Alnahhal, Mohammed, Noche, Bernd
    Publicado 2013
    “…Results which were obtained in very short CPU time showed the effect of using time buffer among routes on the feasible space and on the optimal solution. …”
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    Online Artículo Texto
  13. 1213
  14. 1214
    “…Subsequently, based on the predicted results, a simple and efficient strategy is proposed for resource provisioning. CPU allocation experiment indicated it can effectively reduce resources consumption while meeting service level agreements requirements.…”
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  15. 1215
    “…Simulation results demonstrate that the acceleration factor approaches the number of CPU cores and overall PANO-based CS-MRI reconstruction can be accomplished in several seconds.…”
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  16. 1216
    “…The computational time is 0.3223 s per image with MATLAB under Windows XP on an Intel Core 2 Duo CPU E7500 @2.93 GHz. The proposed algorithm has the potential to achieve real-time measurement under Visual Studio.…”
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  17. 1217
    “…We discuss how this interesting feature of the H-H model allows one to reduce greatly the probabilistic degrees of freedom in uncertainty quantification analyses, saving CPU time in numerical simulations and opening possibilities for probabilistic generalisation of other deterministic models of great importance in physiology and mathematical neuroscience.…”
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  18. 1218
    “…CloudForest achieves fast running times by effective use of the CPU cache, optimizing for different classes of features and efficiently multi-threading. https://github.com/ilyalab/CloudForest.…”
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  19. 1219
    “…As a result, the algorithm saves about 90% of the CPU processing time and 66% of the memory usage needed in a classical Kalman filter. …”
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  20. 1220
    “…We propose two ways of dividing the program into independent sub-routines that can be run on different processors: (a) pair-wise sequence alignments that are used as a first step to multiple alignment account for most of the CPU time in DIALIGN. Since alignments of different sequence pairs are completely independent of each other, they can be distributed to multiple processors without any effect on the resulting output alignments. …”
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