“…Theory Comput.2022, 10.1021/acs.jctc.2c00426] that showed how the slow basis set convergence of the double hybrid density functional theory can be obviated by the use of F12 explicit correlation in the GLPT2 step (second order Görling-Levy perturbation theory), we demonstrate here for the very large and chemically diverse GMTKN55 benchmark suite that the CPU time scaling of this step can be reduced (asymptotically linearized) using the localized pair natural orbital (PNO-L) approximation at negligible cost in accuracy.…”
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“…This work is an extension to previous work showing the progression of the active learning technique in producing more accurate models in much less CPU time than ever before. The per‐atom active learning approach has unlocked the potential to generate chemically accurate models for molecules such as peptide‐capped glycine.…”
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“…In addition, the system achieves a greater than 15 Hz real-time performance using only CPU computation, which is improved by approximately 13%.…”
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“…In this paper, we present an upgrade of the Level 2 Calorimeter system which makes the calorimeter trigger tower information available directly to a CPU allowing more sophisticated algorithms to be implemented in software. …”
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“…In this scenario the computing model of the CMS experiment is pushed towards an evolution for the optimization of the amount of space that is managed centrally and the CPU efficiency of the jobs that run on "storage-less" resources. …”
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“…This process will occur in a heterogeneous farm employing exclusively off-the-shelf CPU and GPU hardware, in a two stage process known as High Level Trigger. …”
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“…Moreover, in the case of the large-scale graphs, the GPU solution fails due to memory limitations while the CPU solution achieves a speedup of 12 compared to the 26x achieved by our FPGA solution. …”
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“…Six statistical models (MLM, BLINK, MLMM, FarmCPU, SUPER, and 3VmrMLM) and 1.25 million SNPs were used for the GWAS. …”
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“…We measured the usage of CPU, RAM memory, latency and throughput time, looking for the data input rate with which the system overloads for each event pattern and we compared the results of the three proposed architectures. …”
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“…The AX-282097034 (Chr9: 9882817 bp) was co-detected by four GAPIT models (BLINK, FarmCPU, SUPER, and GLM), while AX-155741269 was co-detected by BLINK and SUPER. …”
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“…We demonstrate the feasibility of this strategy by implementing the Smith-Waterman algorithm and comparing it to similar CPU strategies as well as the fastest known GPU methods for each domain. …”
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“…In particular the effort for computing the lowest energy eigenvalue in the parity odd sector grows linearly with the time extent. At a fixed CPU time, the statistical error on the two-point correlation function is exponentially reduced with respect to the standard Monte Carlo procedure, and at large time distances it is lowered by many orders of magnitude.…”
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“…This farm consists of 16000 CPU cores and 40 TB of storage space. Although limited by environmental constraints, the computing power is equivalent to that provided by all Tier-1's to LHC$b$. …”
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“…At the LHC these simulated data sets are needed with large statistics and high precision level, which makes their production a CPU-intensive task. ATLAS has thus concentrated on optimising both full and fast detector simulation techniques to achieve this goal within the computing limits of the collaboration. …”
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“…The estimated data flow rate exported by the ATLAS TDAQ system for future long term analysis is about 2.5 PB/year. The number of CPU cores installed in the system will exceed 10000 during 2010.…”
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“…As these simulated data sets must be both large and precise, their production is a CPU-intensive task. ATLAS has developed full and fast detector simulation techniques to achieve this goal within the computing limits of the collaboration. …”
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“…As these simulated data sets must be both large and precise, their production is a CPU-intensive task. ATLAS has developed full and fast detector simulation techniques to achieve this goal within the computing limits of the collaboration. …”
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“…Both of them require processing of $\mathcal{O}(10^8)$ events which must be selected, reconstructed and analyzed. The analysis is very CPU-consuming, since one method performs an adaptive multi-pass fitting of $\mathcal{O}(2\times( 10^5)$ histograms and the other one the minimization of $\mathcal{O}(1.5\times10^5)$ data-based functions.In this document we present the Kali framework developed within the LHCb software framework, which implements these two final calibration methods. …”
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“…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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“…This design also severely limits the possibility of performing additional CPU-intensive tasks. Therefore, a novel design able to exploit the full power of multi-core architecture is needed. …”
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