“…Furthermore, the dependence of the CPU-time on the phase-space parameters as well as the load balancing of the proposed techniques are studied.…”
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“…We also compare the achieved event processing throughput to the original CUDA code and a CPU version of it.…”
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“…No linear relationship between CPU and blood lead concentration was observed for either ALAD1 or ALAD2. …”
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“…In particular, the four 5′,8-cyclopurine (cPu) and the two 8-oxo-purine (8-oxo-Pu) lesions were accurately quantified by LC-MS/MS analysis using isotopomeric internal standards after an enzymatic digestion procedure. cPu levels were found comparable to 8-oxo-Pu in all cases (3–6 lesions/10(6) nucleotides), slightly increasing on going from hyperoxia to physioxia to hypoxia. …”
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“…Understanding the CPU concept improves ones understanding of clubfoot deformities and the rationale for treatment techniques. …”
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“…Finally, although the implementation of fast SampEn is not significantly faster than versions running on a high-performance CPU, FPGA implementations consume one or two orders of magnitude less energy than a high-performance CPU.…”
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“…During ATLAS Run 2, in the online track reconstruction algorithm of the Inner Detector, a large proportion of the CPU time was dedicated to the track finding. With the proposed HL-LHC upgrade, where the event pile-up is predicted to reach $\langle \mu \rangle=200$, track finding will see a further large increase in CPU usage. …”
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“…A fit might cost up to half of the CPU time, that is spent on reconstruction. Kalman filters are a widespread solution for the track fitting. …”
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“…In unbinned fits, the 'cpu' and 'cuda' modes of RooFit perform much better than the zfit implementation on both CPU and GPU. …”
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“…In case of TRT-LUT algorithm it is the most time consuming parts and using of FPGA coprocessor can give us speed-up by factor more then two for hybrid FPGA/CPU realisation in comparison with CPU only implementation.…”
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“…We speculate that CpuORFs could allow the conditional targeting of mRNAs for destruction using the NMD pathway.…”
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“…Moreover, we selected 3 performance metrics: Memory utilization, CPU utilization and response time in milliseconds. …”
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“…The results show that U.S.CPU is the largest net transmitter, followed by the crude oil price. …”
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“…The algorithm is designed to be CPU-efficient and is targeted for High Level Trigger (HLT, online reconstructed events pre-selection) purposes. …”
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“…In this solution all main hardware resources, the switching network and the CPU farm, are shared. The network technology is Gigabit Ethernet throughout; the CPU farm is built from commodity PCs. …”
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“…Tier-2 computing sites in the Worldwide Large Hadron Collider Computing Grid (WLCG) host CPU-resources (Compute Element, CE) and storage resources (Storage Element, SE). …”
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“…This limitation is implemented using different technologies, the most common one being the CPU time limit implemented by batch queues. It is therefore important to have a good estimate of how much CPU work a job will require: otherwise, it might be killed by the batch system, or by whatever system is controlling the jobs' execution. …”
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“…The novel GPU technique was 99.6% (IQR 99.3–99.9) accurate relative to the CPU method. The initial cost of the GPU hardware was greater than the CPU (£4080 vs. £2876), but the median energy consumption per case was significantly less using the GPU method (8.44 (6.80–13.39) Wh vs. 2.60 (2.16–3.12) Wh, P < 0.0001). …”
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“…A later dissection day (E16.5) was required to obtain mouse CPu cultures totally lacking the cholinergic interneuron. …”
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“…RESULTS: We present DecGPU, the first parallel and distributed error correction algorithm for high-throughput short reads (HTSRs) using a hybrid combination of CUDA and MPI parallel programming models. DecGPU provides CPU-based and GPU-based versions, where the CPU-based version employs coarse-grained and fine-grained parallelism using the MPI and OpenMP parallel programming models, and the GPU-based version takes advantage of the CUDA and MPI parallel programming models and employs a hybrid CPU+GPU computing model to maximize the performance by overlapping the CPU and GPU computation. …”
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