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541por Whalen, Kathleen“…We present the tools that allow us to predict and optimize the trigger rates and CPU consumption for the anticipated LHC luminosities. …”
Publicado 2019
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542por Xia, Ligang“…We present the tools that allow us to predict and optimize the trigger rates and CPU consumption for the anticipated LHC luminosities. …”
Publicado 2019
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543“…However, this accuracy comes with a high price in CPU, and the sensitivity of many physics analysis is already limited by the available Monte Carlo statistics and will be even more so in the future as datasets grow. …”
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544“…The target is to be able to dedicate a single CPU to each of those units for DAQ and storage.…”
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545“…Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware architectures, such as those deployed at HPC centers, is essential in view of the upcoming HL-LHC physics programme. …”
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546por Bothmann, Enrico, Buckley, Andy, Gütschow, Christian, Prestel, Stefan, Schönherr, Marek, Skands, Peter, Andersen, Jeppe R., Bhattacharya, Saptaparna, Butterworth, Jonathan Mark, Chahal, Gurpreet Singh, Corpe, Louie, Gellersen, Leif, Gignac, Matthew, Höche, Stefan, Kar, Deepak, Krauss, Frank, Kretzschmar, Jan, Lönnblad, Leif, McFayden, Josh, Papaefstathiou, Andreas, Plätzer, Simon, Schumann, Steffen, Seymour, Michael H., Siegert, Frank, Siódmok, Andrzej“…Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. …”
Publicado 2022
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547“…Eventually, it indicates the most efficient network technology and message queue library pair and provides an evaluation of the needed CPU and memory resources to handle foreseen traffic.…”
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548“…The RAViS framework adapts the object detection system to the availability of Raspberry Pi resources, such as CPU, RAM, and internal storage. The adaptation aims to increase the availability of resources to perform object detection of streamed video. …”
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549por Cui, Xuezhi, Weng, Ying-Qi, Frappé, Isabelle, Burgess, Alison, Girão da Cruz, M Teresa, Schachner, Melitta, Aubert, Isabelle“…At 4 weeks of age in the septum and at all time points investigated in the caudate-putamen (CPu), the number of ChAT-positive neurons and the levels of ChAT activity were not statistically different between L1-deficient mice and wild-type littermates. …”
Publicado 2011
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550por Zhang, Yuhong, Misra, Sanchit, Agrawal, Ankit, Patwary, Md Mostofa Ali, Liao, Wei-keng, Qin, Zhiguang, Choudhary, Alok“…We observe end-to-end speedups of nearly 250 (370) × using single-GPU Tesla C2050 GPU (dual-Tesla C2050) over the CPU implementation using Intel(© )Core™i7 CPU 920 processor. …”
Publicado 2012
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551por Götz, Andreas W., Williamson, Mark J., Xu, Dong, Poole, Duncan, Le Grand, Scott, Walker, Ross C.“…We recommend the use of the mixed-precision SPDP model since the numerical results obtained are comparable with those of the full double precision DPDP model and the reference double precision CPU implementation but at significantly reduced computational cost. …”
Publicado 2012
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552por Rivard, Sylvain Robert, Mailloux, Jean-Gabriel, Beguenane, Rachid, Bui, Hung Tien“…The proposed designs are based on either Goertzel’s algorithm or on FFTs and have been implemented using varying amounts of parallelism on a central processing unit (CPU) and on a graphics processing unit (GPU). FINDINGS: Results show that an implementation using a straightforward approach can require over 4.5 h to process 15 million base pairs (bps) whereas a properly designed one could perform the same task in less than five minutes. …”
Publicado 2012
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553“…The GPU (GeForce GTX 560Ti: 384 cores, 2GB RAM) implementation of CASSERT (“GPU-CASSERT”) parallelizes both alignment phases and yields an average 180-fold increase in speed over its CPU-based, single-core implementation on an Intel Xeon E5620 (2.40GHz, 4 cores). …”
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554“…We named the new method as Fixed and random model Circulating Probability Unification (FarmCPU). Both real and simulated data analyses demonstrated that FarmCPU improves statistical power compared to current methods. …”
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555por Haas, Stefan Jean-Pierre, Zhou, Xiaolai, Machado, Venissa, Wree, Andreas, Krieglstein, Kerstin, Spittau, Björn“…We provide evidence that activated microglia as well as neurons in the lesioned SN and CPu express Transforming growth factor β1 (Tgfβ1), which overlaps with the downregulation of pro-inflammatory markers Tnfα, and iNos, and upregulation of anti-inflammatory markers Ym1 and Arg1. …”
Publicado 2016
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556“…To further demonstrate the new method, six flowering time traits in Arabidopsis thaliana were re-analyzed by four methods (New method, EMMA, FarmCPU, and mrMLM). As a result, the new method identified most previously reported genes. …”
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557“…The comparison of our method and another non-contact method considered as a standard independent component analysis (ICA) showed lower central processing unit (CPU) usage for our method (75% less CPU usage).…”
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558“…We also show that removing branch conditions negatively affects the performance of the CPU-based parallel algorithm on OpenMP platform.…”
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559por Bezerra, Vitor Hugo, da Costa, Victor Guilherme Turrisi, Barbon Junior, Sylvio, Miani, Rodrigo Sanches, Zarpelão, Bruno Bogaz“…The system also presented a low impact on the device’s energy consumption, and CPU and memory utilisation.…”
Publicado 2019
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560por Salmela, Leena, Mukherjee, Kingshuk, Puglisi, Simon J, Muggli, Martin D, Boucher, Christina“…More specifically, cOMet required 9.9 CPU days to error correct Rmap data generated from the human genome, whereas Elmeri required less than 15 CPU hours and improved the quality of the Rmaps by more than four times compared to cOMet. …”
Publicado 2020
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