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1101“…For long sequences, it is at least a few hundred times faster than a CPU version of the same algorithm. Availability: Source code and installation instructions freely available for download at http://complex.zesoi.fer.hr/SW.html. …”
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1102“…Evaluation results show that our single GPU implementation achieves 20x to 40x speedup ratio, when compared to a typical general purpose CPU's execution time.…”
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1103“…According to Monte-Carlo simulations, this novel approach yields a speedup by a factor of more than 100 in terms of CPU-time for a one-dimensional case and by a factor of 56 for a two-dimensional case.…”
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1104por Snipas, Mindaugas, Pranevicius, Henrikas, Pranevicius, Mindaugas, Pranevicius, Osvaldas, Paulauskas, Nerijus, Bukauskas, Feliksas F.“…This allowed us to accelerate CPU time, which is necessary to solve CTMC models, ∼20 times.…”
Publicado 2015
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1105“…Our algorithm also benefits from the novel IMU factor, the continuous preintegration method, the vision factor of directional error, the separability trick and the robust initialization criterion which can efficiently output reliable estimates in real-time on modern Central Processing Unit (CPU). Tremendous experiments also validate the proposed algorithm and prove it is comparable to the state-of-art method.…”
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1106“…The average numbers of progenitors per milliliter of blood were 33 (range 0–360) for colony‐forming unit‐granulocyte macrophage (CFU‐GM), 23 (range 0–140) for burst‐forming unit‐erythrocyte (BFU‐E), and 4 (range 0–50) for colony‐forming unit‐mixed lineages (CPU‐mix). No significant influence of age, sex, histological type, or clinical stage of the tumor on the progenitor levels was detected. …”
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1107“…Furthermore, compared with the augmented Lagrange multiplier and the orthogonal rank-one matrix pursuit algorithms by random experiments, it is more effective as regards the CPU time and the low-rank property.…”
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1108“…The proposed solution is implemented and optimized on a multi-core center processing unit (CPU) platform, then evaluated with replay simulation datasets. …”
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1109“…We demonstrate how a single-core central processing unit (CPU) can extract more than three bidirectional traffic time series for each one of more than 20,000 IoT devices in real time using the algorithm DStries with recursive search. …”
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1110por Gutiérrez-Gutiérrez, José A., Pardo, Arturo, Real, Eusebio, López-Higuera, José M., Conde, Olga M.“…In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. …”
Publicado 2019
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1111por Sánchez Sánchez, Pedro M., Jorquera Valero, José M., Zago, Mattia, Huertas Celdrán, Alberto, Fernández Maimó, Lorenzo, López Bernal, Eduardo, López Bernal, Sergio, Martínez Valverde, Javier, Nespoli, Pantaleone, Pastor Galindo, Javier, Perales Gómez, Ángel L., Gil Pérez, Manuel, Martínez Pérez, Gregorio“…The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. …”
Publicado 2020
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1112por Durón, Christina“…As many real-world networks are often claimed to be scale-free, numerical experiments based upon both simulated and real-world undirected and unweighted scale-free networks are used to illustrate the effectiveness of the proposed “shortest path” based measure with regards to its CPU run time and ranking of influential nodes.…”
Publicado 2020
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1113“…In tests we utilized FFV1 lossless codec and proved efficiency of up to 81 fps (frames per second) for compression and 87 fps for decompression performed on a single Intel i7 CPU.…”
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1114“…Ultimately, we demonstrate that Columba has superior performance to the state of the art. Using a single CPU core, Columba is able to retrieve all occurrences of 100,000 Illumina reads and their reverse complements within a maximum edit distance of four in the human genome in less than 3 min.…”
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1115por Kommera, Pranay Reddy, Ramakrishnaiah, Vinay, Sweeney, Christine, Donatelli, Jeffrey, Zwart, Petrus H.“…The computational performance of the CUDA-based MTIP algorithm implementation outperforms the CPU-based version by an order of magnitude. Furthermore, the Heterogeneous-Compute Interface for Portability (HIP) runtime APIs are used to demonstrate portability by accelerating the MTIP algorithm across NVIDIA and AMD GPUs.…”
Publicado 2021
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1116por Li, Yahui, Sapermsap, Natakorn, Yu, Jun, Tian, Jinshou, Chen, Yu, Day-Uei Li, David“…Fast lifetime analysis strategies were suggested with execution times around or below 30 μs per histograms on MATLAB R2016a, 64-bit with the Intel Celeron CPU (2950M @ 2GHz).…”
Publicado 2021
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1117por Huang, Kaiyuan, Qiu, Wangkang, Ou, Meilian, Liu, Xiaorui, Liao, Zenan, Chu, Sheng“…Additionally, the heat dissipation test performed on a commercial smart phone demonstrated that a LM/In/LM pad not only reduced the temperature of the CPU and back cover but also enhanced the runtime of a battery by 25%…”
Publicado 2020
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1118“…A transfomer oil immersion cooling server is designed and constructed for machine learning applications and first principle calculations that are carried out for materials-related research. CPU, motherboard, random access memory, hard disk drive, solid state drive, graphic card, and the power supply unit are submerged into the transformer oil in order to cool the entire system. …”
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1119“…With this approach, an appropriate combination of metabolic reaction deletions can be identified by solving a simple linear programming problem. Using a standard CPU, the computation time could be as low as 1 min per compound, and the system can even handle large metabolic models. …”
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1120“…And using the experiment, the CPU used in the experiment is Intel® Core™ i7-8700 3.2 GHz, the memory is 16 GB, and the GPU is NVIDIA GeForce GT × 1080 Ti, which ensures the accuracy of the experiment. …”
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