“…--HTML-->Implementing and benchmarking functions already implemented in the CPU for the GPU, which can have speedups of x50. …”
Enlace del recurso

“…A comparison between the parallel prototype and multiple independent Gaudi jobs in respect to CPU-time and memory consumption will be shown. In the context of parallelization speedup is the most important metric, as it shows how software scales with the number of cores. …”
Enlace del recurso

“…The thereby achieved possible speed-up in detector simulation of up to a factor 100 makes subsequent digitization and reconstruction the dominant contributions to the Monte Carlo (MC) production CPU cost. The slowest components of both digitization and reconstruction are inside the Inner Detector due to the complex signal modeling needed in the emulation of the detector readout and in reconstruction due to the combinatorial nature of the problem to solve, respectively. …”
Enlace del recurso
Enlace del recurso

“…We will report on the evolution of resource usage in terms of CPU and RAM in key ATLAS offline reconstruction workflows at the Tier0 at CERN and on the WLCG. …”
Enlace del recurso

“…Producing the very large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. Fast simulation tools are a useful way of reducing CPU requirements when detailed detector simulations are not needed. …”
Enlace del recurso

“…Producing the large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. Fast simulation tools are a useful way of reducing the CPU requirements when detailed detector simulations are not needed. …”
Enlace del recurso
Enlace del recurso

“…Geant4 simulation currently accounts for about 50% of CPU consumption in ATLAS and it is expected to remain the leading CPU load during Run 4 (HL-LHC upgrade) with an approximately 25% share in the most optimistic computing model. …”
Enlace del recurso

“…Performance figures in terms of CPU consumption for the key components of the reconstruction algorithm chain and their dependence on the pile-up are shown. …”
Enlace del recurso
Enlace del recurso

“…The challenge of evaluating the expected backgrounds for these searches from first principles is limited by the CPU time needed to generate the shower induced by the primary beam. …”
Enlace del recurso
Enlace del recurso

“…In this study, we discuss the needs in terms of storage and CPU for the diverse phases of the project, and the possible solutions mostly based on the models developed for HL-LHC.…”
Enlace del recurso
Enlace del recurso

“…With the continuing progress in the CPU power, this limit will get inevitably shifted to ever higher dimensions. …”
Enlace del recurso
Enlace del recurso

“…Subevents from phi-sectors are auto-routed to their destination buffer which is part of the memory of the CPU farm. The synchronization and buffer management for such a system is described. …”
Enlace del recurso

“…We then summarize the measurement of the code performance of the multithreaded application in terms of memory and CPU usage.…”
Enlace del recurso
Enlace del recurso

“…Due to the stagnating clock frequencies of individual CPU cores, new approaches to particle track reconstruction need to be evaluated in order to cope with this computational challenge. …”
Enlace del recurso
Enlace del recurso

“…Results from multiple benchmarking runs are compared to previous public and development reference releases to monitor CPU and memory usage. Observed changes are evaluated and correlated with code modifications. …”
Enlace del recurso
Enlace del recurso

“…Geant4 simulation currently accounts for about 50% of CPU consumption in ATLAS and it is expected to remain the leading CPU load during Run 4 (HL-LHC upgrade) with an approximately 25% share in the most optimistic computing model. …”
Enlace del recurso
Enlace del recurso

“…The results imply that on average the zlib implementation on the accelerator achieves a comparable compression ratio to zlib level 2 on a CPU, while having up to 17 times the throughput and utilizing over 80 % less CPU resources. …”
Enlace del recurso
Enlace del recurso

“…The electrocatalytic efficiency of the resulting electrodeposited cathodes was evaluated, with the AR-CPU-1.4M electrode demonstrating superior properties. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Summary: In the context of metagenomics, we introduce a new approach to protein database search called PAUDA, which runs ∼10 000 times faster than BLASTX, while achieving about one-third of the assignment rate of reads to KEGG orthology groups, and producing gene and taxon abundance profiles that are highly correlated to those obtained with BLASTX. PAUDA requires <80 CPU hours to analyze a dataset of 246 million Illumina DNA reads from permafrost soil for which a previous BLASTX analysis (on a subset of 176 million reads) reportedly required 800 000 CPU hours, leading to the same clustering of samples by functional profiles. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The parallel algorithm on single Intel Xeon X5540 CPU runs 3.16–4.17 times faster than the serial algorithm on single CPU core. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso