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1001por Anderson, Daniel Paolo, Benns, Henry James, Tate, Edward William, Child, Matthew Andrew“…To address this, we have developed CRISPR‐TAPE, a protein‐centric gRNA design algorithm that allows users to target specific residues, or amino acid types within proteins. gRNA outputs can be customized to support maximal efficacy of homology‐directed repair for engineering purposes, removing time‐consuming post hoc curation, simplifying gRNA outputs and reducing CPU times.…”
Publicado 2020
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1002por Gutenkunst, Ryan N“…I show that running dadi on a Graphics Processing Unit can dramatically speed computation compared with the CPU implementation, with minimal user burden. Motivated by this speed increase, I also extended dadi to four- and five-population models. …”
Publicado 2021
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1003por Kravets, Iryna O., Dudenko, Dmytro V., Pashenko, Alexander E., Borisova, Tatiana A., Tolstanova, Ganna M., Ryabukhin, Sergey V., Volochnyuk, Dmitriy M.“…Savings of up to 10-fold in CPU time are demonstrated. These developments allowed us to evaluate ACE2/ACE selectivity in silico, which is a crucial checkpoint for developing chemical probes for ACE2.…”
Publicado 2021
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1004“…Performance analysis shows that our method is fast and could be used in practice on typical server hardware with 2 Processors (Central Processing Units, CPUs) or with a CPU and a Graphics processing unit (GPU).…”
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1005por Prof. M. McCool, U. of Waterloo and RapidMind Inc.“…<p> On GPUs up to a 30x speedup over tuned CPU code has been achieved. On the Cell, we can match or exceed the performance of vendor tools in tuned applications, but with much less developer effort. …”
Publicado 2007
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1006por Gligorov, V.V.“…I cover the present status of real-time data analysis at the LHC, before explaining why the future upgrades of the LHC experiments will increase the volume of data which can be sent off the detector and into off-the-shelf data processing facilities (such as CPU or GPU farms) to tens of exabytes per year. …”
Publicado 2015
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1007por Filipcic, Andrej“…One of the big changes for Run-2 was the adoption of the Derivation Framework, which moves the chaotic CPU and data intensive part of the user analysis into the centrally organized train production, delivering derived AOD datasets to user groups for final analysis. …”
Publicado 2017
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1008por Promberger, Laura“…The first part characterizes popular general-purpose compression algorithms and their performance using ARM aarch64, IBM ppc64le, and Intel x86\_64 CPU architectures. Their performance is found to be independent of the underlying CPU architecture, making each architecture a viable choice. …”
Publicado 2022
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1009por Deng, Shaoxiong, Qiu, Yibin, Zhuang, Zhanwei, Wu, Jie, Li, Xuehua, Ruan, Donglin, Xu, Cineng, Zheng, Enqing, Yang, Ming, Cai, Gengyuan, Yang, Jie, Wu, Zhenfang, Huang, Sixiu“…Both the mixed linear model (MLM) and fixed and random model circulating probability unification (FarmCPU) approaches were employed for the analysis. …”
Publicado 2023
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1010por Sorrentino, Zachary A., Brooks, Mieu M.T., Hudson, Vincent, Rutherford, Nicola J., Golde, Todd E., Giasson, Benoit I., Chakrabarty, Paramita“…None of the NTG mice or CPu-injected M20 mice showed DA neurodegeneration. …”
Publicado 2017
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1011por Wei, Wei, Mesquita, Ana Carolina Oliveira, Figueiró, Adriana de A., Wu, Xing, Manjunatha, Shilpa, Wickland, Daniel P., Hudson, Matthew E., Juliatti, Fernando C., Clough, Steven J.“…The CMLM also found significance on chromosome 19, whereas FarmCPU also identified significance on chromosomes 4, 9, and 16. …”
Publicado 2017
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1012por Badea, Alexandra, Ng, Kwan L., Anderson, Robert J., Zhang, Jiangyang, Miller, Michael I., O’Brien, Richard J.“…The significant clusters intersected tractography based networks seeded in M1, M2, S1, V1 and CPu at levels > 80%. We found that 89% of the significant cluster belonged to a network seeded in the contralateral M1, and 85% to one seeded in the contralateral M2. …”
Publicado 2019
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1013por Xiong, Siyu, Wu, Guoqing, Fan, Xitian, Feng, Xuan, Huang, Zhongcheng, Cao, Wei, Zhou, Xuegong, Ding, Shijin, Yu, Jinhua, Wang, Lingli, Shi, Zhifeng“…Based on the BraTS19 and BraTS20 dataset, our FPGA-based brain tumor segmentation accelerator is 5.21 and 44.47 times faster than the TITAN V GPU and the Xeon CPU. In addition, by comparing energy efficiency, our design can achieve 11.22 and 82.33 times energy efficiency than GPU and CPU, respectively. …”
Publicado 2021
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1014por Margiani, Giulia, Castelli, Maria Paola, Pintori, Nicholas, Frau, Roberto, Ennas, Maria Grazia, Pagano Zottola, Antonio C., Orrù, Valeria, Serra, Valentina, Fiorillo, Edoardo, Fadda, Paola, Marsicano, Giovanni, De Luca, Maria Antonietta“…In adult brains, there was an increase of ionized calcium binding adaptor molecule 1 (IBA-1) positive cells in the caudate-putamen (CPu) and nucleus accumbens (NAc), along with a decrease of glial fibrillary acidic protein (GFAP) immunoreactivity in the CPu. …”
Publicado 2022
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1015“…Lagrangian statistics reported in both qualitative and quantitative fashions show globally a very good agreement with reference LES and experimental databases at a fraction of the CPU power needed for optimal LES.…”
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1016“…Tycoon has been developed at HP Labs to optimise resource usage in creating an economy where users bid to access virtual machines and compete for CPU cycles. SmartDomains provides a peer-to-peer layer that automates virtual machines deployment using a description language and deployment engine from HP Labs. …”
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1017“…The pMSSM contains the most relevant 25 weak-scale MSSM parameters, which are simultaneously fit using `nested sampling' Monte Carlo techniques in more than 15 years of CPU time. We calculate the Bayesian evidence for the pMSSM and constrain its parameters and observables in the context of two widely different, but reasonable, priors to determine which inferences are robust. …”
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1018por Grosse-Oetringhaus, J F“…The current setup and ongoing development towards disk quotas and CPU fairshare are described. Furthermore, the integration of PROOF into ALICE's software framework (AliRoot) is discussed.…”
Publicado 2008
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1019“…LHCb aims to use its O(20000) CPU cores in the High Level Trigger (HLT) and its 120 TB Online storage system for data reprocessing during LHC shutdown periods. …”
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1020“…Synthetic graphical views for all operational parameters, correlations, state of services and applications as well as the full history of all monitoring metrics are available for the ent ire system that now encompasses 85 sites all over the world, mo re than 14000 CPU cores and 10PB of storage.…”
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