Titlebook: Euro-Par 2022: Parallel Processing; 28th International C José Cano,Phil Trinder Conference proceedings 2022 Springer Nature Switzerland AG

CHAFF

書目名稱Euro-Par 2022: Parallel Processing影響因子(影響力)




書目名稱Euro-Par 2022: Parallel Processing影響因子(影響力)學(xué)科排名




書目名稱Euro-Par 2022: Parallel Processing網(wǎng)絡(luò)公開度




書目名稱Euro-Par 2022: Parallel Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Euro-Par 2022: Parallel Processing被引頻次




書目名稱Euro-Par 2022: Parallel Processing被引頻次學(xué)科排名




書目名稱Euro-Par 2022: Parallel Processing年度引用




書目名稱Euro-Par 2022: Parallel Processing年度引用學(xué)科排名




書目名稱Euro-Par 2022: Parallel Processing讀者反饋




書目名稱Euro-Par 2022: Parallel Processing讀者反饋學(xué)科排名

coalition

MARTINI: The Little Match and?Replace Tool for?Automatic Application Rewriting with?Code Examplesten mechanical and can be automated with text-based rewriting tools, like .. However, non-localized or semantic-based changes require specialized tools that usually come with complex, hard-coded rules that require expertise in compilers. This means techniques for source rewriting are either too simp

惡意

Accurate Fork-Join Profiling on?the?Java Virtual Machineimizing the performance of fork-join computations is of paramount importance, accurately profiling them on the Java Virtual Machine (JVM) is challenging due to the complexity of the API. In this paper, we present a novel model for analyzing fork-join computations on the JVM, addressing the peculiari

孤僻

Glower

On-the-Fly Calculation of?Model Factors for?Multi-paradigm Applicationsicate whether an application suffers from systemic or local load imbalances, or high cost for synchronization or data transfer. The metrics are also useful to compare the parallel characteristics of different versions of the same application. This work proposes a model of separating the impact facto

巨頭

巨頭

Water-Brash

Decentralized Online Scheduling of?Malleable NP-hard Jobsces, takes an unknown amount of time, and is malleable, i.e., the number of allotted workers can fluctuate during its execution. We subdivide the problem into (a) determining a fair amount of resources for each job and (b) assigning each job to an according number of processing elements. Our approac

細(xì)微差別

A Bi-Criteria FPTAS for?Scheduling with?Memory Constraints on?Graphs with?Bounded Tree-Widthines, the objective is to minimize the makespan under memory constraints for the machines. Those constraints come from a neighborhood graph . for the jobs. Motivated by a previous result on graphs . with bounded path-width, our focus is on the case when the neighborhood graph . has bounded tree-widt

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