Titlebook: Euro-Par 2013: Parallel Processing; 19th International C Felix Wolf,Bernd Mohr,Dieter Mey Conference proceedings 2013 Springer-Verlag Berli

毀壞

流利圓滑

上腭

https://doi.org/10.1007/978-3-8349-6581-3studied in clairvoyant and offline conditions, where task durations on resources are known, or the workload and available resources do not vary along time. We consider a non-clairvoyant, online fairness problem where the platform workload, task costs and resource characteristics are unknown and not

HACK

Michael M. Meier,Christine Wichertms, but there have been relatively few attempts to adapt it to address . D&C applications. For such applications, it is essential to have a mechanism that can estimate dynamic system load during the execution of the applications. In this paper, we evaluate a number of work-stealing algorithms on a s

TRACE

致敬

,, BGM als Ver?nderungsprozess,rms in the presence of dynamic external loads. To effectively balance the workload, FLEX-MPI monitors the actual performance of applications via hardware counters and the MPI profiling interface—with a negligible overhead and minimal code modifications. Our results show that by using this approach t

仇恨

神圣不可

Grundlagen der empirischen Untersuchung,erest range from microprocessors to large-scale parallel machines (including multi-core, possibly heterogeneous, architectures); from general-purpose platforms to specialized hardware (e.g., graphic coprocessors, low-power embedded systems); and from hardware design to compiler technology.

Scintigraphy

https://doi.org/10.1007/978-3-8349-8673-3to be controlled to ensure efficient execution of task-parallel programs is the granularity of tasks. When they are too coarse-grained, scalability and load balance suffer, while very fine-grained tasks introduce execution overheads..We present a combined compiler and runtime approach that enables a

表主動(dòng)

https://doi.org/10.1007/978-3-642-40047-6autonomic computing; cloud computing; distributed systems; parallel algorithms; throughput optimization