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2181“…On a personal computer, RiboDetector processed 40M reads in less than 6 min, which was ∼50 times faster in GPU mode and ∼15 times in CPU mode than other methods. RiboDetector is available under a GPL v3.0 license at https://github.com/hzi-bifo/RiboDetector.…”
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2182por Wang, Wenxiu, Heydarian, Hamidreza, Huijben, Teun A P M, Stallinga, Sjoerd, Rieger, Bernd“…RESULTS: We achieve reconstructions of experimental DNA-origami datasets consisting of close to 400 particles within only 10 min on a CPU, with an image resolution of 3.2 nm. In addition, we show artifact-free reconstructions of symmetric structures without making any use of the symmetry. …”
Publicado 2022
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2183“…The central processing unit (CPU) occupancy rate in each monitoring task is always lower than 20%. …”
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2184“…The final system qualifies as a low-cost system using limited resources for decision-making and having a running time of 1.8 ms tested on an AMD Ryzen 7 4800HS CPU.…”
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2185por Khan, Asfandyar, Umar, Arif Iqbal, Shirazi, Syed Hamad, Ishaq, Waqar, Shah, Mohsin, Assam, Muhammad, Mohamed, Abdullah“…During the simulations, the effects of various numbers of cloudlets on the cost of virtual machine resources such as RAM, CPU processing, and available bandwidth have been investigated in cloud computing. …”
Publicado 2022
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2186por Singh, Lovejit, Dhillon, Guriqbal Singh, Kaur, Sarabjit, Dhaliwal, Sandeep Kaur, Kaur, Amandeep, Malik, Palvi, Kumar, Ashok, Gill, Ranjit Kaur, Kaur, Satinder“…Investigation of population structure in the panel using a set of 4,623 filtered SNPs led to identification of four sub-populations based on ad-hoc delta K and Cross entropy value. Using Farm CPU model and Mixed Linear Model algorithms, a total of 49 significant SNP associations representing 42 QTLs were identified. …”
Publicado 2022
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2187“…Using a multiple loci mixed linear model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK), we found that a total of 25,000 single-nucleotide polymorphisms (SNPs) were distributed across chromosomes, and seven markers were identified as significantly (p-values < 3.91 × 10(−7)) associated with the body weight trait,. …”
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2188por Liu, Wei, Liu, Xu, Hu, Yuan, Shi, Jie, Chen, Xinqiang, Zhao, Jiansen, Wang, Shengzheng, Hu, Qingsong“…The detection frame rate can reach 29 fps on a CPU, which can meet the effect of real-time detection. …”
Publicado 2022
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2189por Ye, Cheng, Thornlow, Bryan, Hinrichs, Angie, Kramer, Alexander, Mirchandani, Cade, Torvi, Devika, Lanfear, Robert, Corbett-Detig, Russell, Turakhia, Yatish“…RESULTS: Here, we present matOptimize, a fast and memory-efficient phylogenetic tree optimization tool based on parsimony that can be parallelized across multiple CPU threads and nodes, and provides orders of magnitude improvement in runtime and peak memory usage compared to existing state-of-the-art methods. …”
Publicado 2022
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2190“…The dedicated computer can accelerate the reconstruction 10 times faster than a recent CPU. Because it is very compact compared with typical computers, it can expand the application of single-pixel imaging to the Internet of Things and outdoor applications.…”
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2191“…The single nucleotide polymorphism (SNP) genotyping array method was used to construct the libraries and 36,048 SNPs were genotyped. Using the MLM, FarmCPU and Blink models, six different SNPs, located on SEQ3, SEQ4, SEQ5, SEQ7 and SEQ8, were determined to be significantly associated with ammonia nitrogen tolerance. …”
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2192por Zhai, Zhiqiang, Chen, Xuegeng, Zhang, Ruoyu, Qiu, Fasong, Meng, Qingjian, Yang, Jiankang, Wang, Haiyuan“…The coefficient of determination(R(2)), root mean square error (RMSE), mean relative error (MRE) and average evaluation time per image of the modified U-Net model on the CPU were 0.9849, 0.0563, 5.33% and 4.85 s, respectively. …”
Publicado 2022
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2193“…The presented approach has been validated using three microstrip antennas, and demonstrated to yield reliable models at remarkably low CPU costs, as compared to both conventional and performance-driven modeling procedures.…”
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2194“…The inference speed on the GPU and CPU has increased by 11.84% and 30.99%, respectively. …”
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2195por Chitturi, Sathya R., Burdet, Nicolas G., Nashed, Youssef, Ratner, Daniel, Mishra, Aashwin, Lane, T. J., Seaberg, Matthew, Esposito, Vincent, Yoon, Chun Hong, Dunne, Mike, Turner, Joshua J.“…As compared to the “droplet-type” models, which typically are used to estimate the photon distributions on pixelated detectors to obtain the coherent x-ray speckle patterns, our algorithm achieves an order of magnitude speedup on CPU hardware and two orders of magnitude improvement on GPU hardware. …”
Publicado 2022
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2196“…The experimental results show that, compared with the CPU serial algorithm, the OpenCL accelerated unsharp masking image enhancement parallel algorithm greatly reduces the execution time of the algorithm while maintaining the same image quality, and achieves a maximum speedup of 16.71 times. …”
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2197por Shah, Kamal, Ali, Amjad, Zeb, Salman, Khan, Aziz, Alqudah, Manar A., Abdeljawad, Thabet“…Further the two numerical schemes have also compared with respect to CPU time. Graphical presentations have been displayed corresponding to different fractional order by using some real data.…”
Publicado 2022
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2198por Jadamba, Chuluuntsetseg, Vea, Richie L., Ryu, Jung-Hoon, Paek, Nam-Chon, Jang, Su, Chin, Joong Hyoun, Yoo, Soo-Cheul“…Using both linear mixed models (LMM) and fixed and random model circulating probability unification (FarmCPU), we identified five significant loci for Hd in trials in 2018 and 2019. …”
Publicado 2022
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2199por de Castro, Manuel, Osorio, Roberto R., Vilariño, David L., Gonzalez-Escribano, Arturo, Llanos, Diego R.“…In this work, we show the resource utilization when synthesizing the code on an Intel Stratix 10 FPGA, as well as a performance comparison with multiple CPU implementations with varying levels of optimization and vectorization capabilities. …”
Publicado 2023
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2200por Papa, Lorenzo, Proietti Mattia, Gabriele, Russo, Paolo, Amerini, Irene, Beraldi, Roberto“…Precisely, we propose the MobileNetV3 [Formula: see text] configuration to infer on the 32-bit ARM CPU and the MobileNetV3 [Formula: see text] for the 8-bit Edge TPU hardware. …”
Publicado 2023
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