“…For the benchmark channels considered, the signal efficiencies and background rejection factors, obtained within about 500~ms of a recent CPU (1 GHz processor), are competitive with full offline analyses done without any timing limitation.…”
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“…Recent results have shown that the performances of the partial reconstruction in terms of resolution and CPU time allows the use of the Tracker at the first stage of the high level trigger on all physics event streams. (10 refs).…”
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“…Recent results have shown that the performance of partial reconstruction in terms of resolution and CPU time allows the use of the Tracker at the first stage of the High Level Trigger (HLT) on all physics events. …”
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“…Since the most stressing tasks of the farm are the data transfer and processing, relevant indicators includes the CPU and the memory load of the system, the network interface and the TCP/IP stack parameters, the rates of the interrupts raised by the network interface card and the detailed status of the running processes. …”
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“…In a second level, implemented in a CPU farm, the event rate is reduced to about 5 kHz. …”
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“…This powerful analysis method has never been used to date due to its high demand in CPU time. The second approach uses the GooFit framework, which is a generic fitting framework that exploits massive parallelisation on GPUs…”
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“…The upgrade, scheduled for LHC Run-3, will enable the experiment to be read out at 40 MHz in trigger-less mode, with event selection being performed in the CPU farm. The highest occupancy ASICs will experience rates of more than 900 Mhits/s, and the closest pixels are 5.1 mm from the LHC beams. …”
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“…The immunity-based diagnostic model monitors voltages of some components, CPU temperatures, and fan speeds. We simulated abnormal behaviors of some components on the motherboard, and we utilized the immunity-based diagnostic model to evaluate motherboard sensors in two experiments. …”
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“…Existing long-read assemblers require thousands of CPU hours to assemble a human genome and are being outpaced by sequencing technologies in terms of both throughput and cost. …”
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“…Even though the expected power consumption for each VME crate of the FTK system is high compared to a common VME setup, the 8 FTK core crates will use $\approx$ 60 kW, which is just a fraction of the power and the space needed for a CPU farm performing the same task. We report on the integration of 32 PUs and 8 SSBs inside the FTK system, on the infrastructures needed to run and cool them, and on the tests performed to verify the system processing rate and the temperature stability at a safe value.…”
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“…An ef cient program of this kind not only performs its computations faster than its sequential version, but also effectively uses the CPU time. Parallel programming has been present in high-energy physics for years. …”
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“…The overall wall time efficiency of around 90% is largely independent of the submission method, and the dominant source of wasted cpu comes from data handling issues. The efficiency of grid job submission is significantly worse than this, and the glide-in method benefits greatly from factorising this out.…”
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“…LHC computing requirements are such that the number of CPU and storage nodes, and the complexity of the services to be managed are bringing new challenges. …”
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“…The main advantage of using GPU(Graphic Processor Unit) programming over traditional CPU one is that graphical cards bring a lot of computing power at a very low price. …”
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“…This has now been validated for production and delivers a significant reduction on overall memory footprint with negligible CPU overhead. Before AthenaMP can be routinely run on the LHC Computing Grid, it must be determined how the computing resources available to ATLAS can best exploit the notable improvements delivered by switching to this multi-process model. …”
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“…The reconstruction time of a single event varies according to the event complexity.Measurements were done in order to find precisely this correlation, creating means to predict itbased on the physics conditions of the input data.Currently the data processing system do not account that whensplitting a task in chunks(jobs), this can cause a considerablevariation in the job length, thus a considerable increase into theworkflow Estimated Time of Arrival.The goal is to use this estimate on processing time to more efficiently split the work inchunks, considering the CPU time needed for each chunk and due to this,lowering the standard deviation of the job length distribution in aworkflow.…”
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“…So far many thousands of members of the public have signed up to contribute their spare CPU cycles for ATLAS, and there is potential for volunteer computing to provide a significant fraction of ATLAS computing resources. …”
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“…In these tests ATLAS reconstruction Jobs are run, examining the effects of overcommitting (more parallel processes running than CPU cores available), scheduling (staggered execution) and scaling (number of cores). …”
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“…There is the need to process CPU intensive work whilst ensuring that the resources are shared fairly between different users of the system, and guarantee that all nodes are up to date with new images containing the latest software configurations. …”
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