Titlebook: Euro-Par 2019: Parallel Processing; 25th International C Ramin Yahyapour Conference proceedings 2019 Springer Nature Switzerland AG 2019 ar

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書目名稱Euro-Par 2019: Parallel Processing影響因子(影響力)




書目名稱Euro-Par 2019: Parallel Processing影響因子(影響力)學(xué)科排名




書目名稱Euro-Par 2019: Parallel Processing網(wǎng)絡(luò)公開度




書目名稱Euro-Par 2019: Parallel Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Euro-Par 2019: Parallel Processing被引頻次




書目名稱Euro-Par 2019: Parallel Processing被引頻次學(xué)科排名




書目名稱Euro-Par 2019: Parallel Processing年度引用




書目名稱Euro-Par 2019: Parallel Processing年度引用學(xué)科排名




書目名稱Euro-Par 2019: Parallel Processing讀者反饋




書目名稱Euro-Par 2019: Parallel Processing讀者反饋學(xué)科排名

紳士

抒情短詩

FLEET

Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoringe applications. A key ingredient to make this possible is an accurate prediction of the future network utilization, enabling the runtime to plan the background operations in advance, such as to avoid competing with the application for network bandwidth. In this paper, we propose a portable deep lear

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易彎曲

易彎曲

Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems available computers. Data compression is an effective strategy to reduce this memory requirement by a certain factor, particularly if some loss in accuracy is acceptable. A popular alternative is checkpointing, where data is stored at selected points in time, and values at other times are recompute

monochromatic

Linear Time Algorithms for Multiple Cluster Scheduling and Multiple Strip Packingatio better than 2 unless .. In this paper, we present an algorithm with approximation ratio 2 and running time . for both problems for . (and running time . for .). While a 2 approximation was known before, the running time of the algorithm is at least . in the worst case. Therefore, an . algorithm

NAG

Scheduling on Two Unbounded Resources with Communication Costswe consider a platform with two types of machines, each containing an unbounded number of elements. We want to execute an application represented as a Directed Acyclic Graph (DAG) on this platform. Each task of the application has two possible execution times, depending on the type of machine it is

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