“…Besides classical Grid resources also some opportunistic resources as well as Cloud resources have been integrated into that Pool, which gives reach to more than 200k CPU cores.…”
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“…Ethernet uses TCP/IP or UDP/IP by default, which involves significant CPU load. However, there are solutions to implement RDMA-enabled data transfer via Ethernet as well. …”
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“…This translates in significant increase of the CPU and storage resources required for data processing, and at the same time the data access rates will grow linearly with the amount of resources. …”
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“…Data collected by the Compact Muon Solenoid experiment at the Large Hadron Collider are continuously analyzed by hundreds of physicists thanks to the CMS Remote Analysis Builder and the CMS global pool, exploiting the resources of the Worldwide LHC Computing Grid.Making an efficient use of such an extensive and expensive system is crucial.Supporting a variety of workflows while preserving efficient resource usage poses special challenges, like: scheduling of jobs in a multicore/pilot model where several single core jobs with an undefined run time run inside pilot jobs with a fixed lifetime; avoiding that too many concurrent reads from same storage push jobs into I/O wait mode making CPU cycles go idle; monitoring user activity to detect low efficiency workflows and provide optimizations, etc.In this contribution we report on two novel complementary approaches adopted in CMS to improve the scheduling efficiency of user analysis jobs: automatic job splitting and automated run time estimates. …”
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“…To better match the increasing CPU core count and the, therefore, decreasing available memory per core, a multi-threaded framework, AthenaMT, has been designed and is now being implemented. …”
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“…The D-GM environment is also extended, providing efficient parallel executions for quantum computing simulations, targeted to hybrid architectures considering the CPU and GPU integration. By managing projection operators over quantum structures, and exploring coalescing memory access patterns, the HybriD-GM model enables granularity control, optimizing hardware resources in distributed computations organized as tree data structures. …”
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“…The experimental results show that the proposed method has good similarity discrimination ability, high classification accuracy and low CPU time cost. Finally, the method was successfully applied into linguistic multi-attribute decision making, and TOPSIS thought is used to compare and rank the schemes, so as to realize the final decision.…”
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“…By mapping the process of extracting phase information and unwrapping to GPU, we are able to speed up the whole procedure by more than 18.8× with respect to CPU processing and ultimately achieve video rate for mega-pixel images. …”
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“…The prototype is primarily concerned with the interconnection between hardware objects such as a load cell, web camera, accelerometer, TPM tire module and receiver module, DAQ card, CPU card and a touch screen. Several safety subsystems, including image processing, weight sensing and crash detection systems, are integrated, and their outputs are combined to yield intelligent decisions regarding airbag deployment. …”
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“…A genome scan of 300,000 SNPs in 2,000 trios takes 4 central processing unit (CPU)-days. PBAT is available for Linux, Sun Solaris and Windows XP.…”
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“…The tools are shown to be the new Pareto frontier for FASTQ compression, offering state of the art ratios at affordable CPU costs. All programs are freely available on SourceForge. …”
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“…Compatible with high frame rates of EM-CCD cameras, it relies on a wavelet segmentation algorithm, together with a mix of CPU/GPU implementation. A combination with Gaussian fitting allows direct access to 3D localization. …”
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