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Alexander Feoktistov, Alexei Edelev, Andrei Tchernykh, Sergey Gorsky, Olga Basharina and Evgeniy Fereferov
Implementing high-performance computing (HPC) to solve problems in energy infrastructure resilience research in a heterogeneous environment based on an in-memory data grid (IMDG) presents a challenge to workflow management systems. Large-scale energy inf...
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Alaa Albtoush, Farizah Yunus, Khaled Almi?ani and Noor Maizura Mohamad Noor
Scientific workflows consist of numerous tasks subject to constraints on data dependency. Effective workflow scheduling is perpetually necessary to efficiently utilize the provided resources to minimize workflow execution cost and time (makespan). Accord...
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Jabanjalin Hilda and Srimathi Chandrasekaran
A heterogeneous system can be portrayed as a variety of unlike resources that can be locally or geologically spread, which is exploited to implement data-intensive and computationally intensive applications. The competence of implementing the scientific ...
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Dylan Chapp,Victoria Stodden,Michela Taufer
Pág. 112 - 129
The scientific computing community has long taken a leadership role in understanding and assessing the relationship of reproducibility to cyberinfrastructure, ensuring that computational results - such as those from simulations - are "reproducible", that...
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Julian M. Kunkel,Luciana R. Pedro
Pág. 35 - 53
The efficient, convenient, and robust execution of data-driven workflows and enhanced data management are essential for productivity in scientific computing. In HPC, the concerns of storage and computing are traditionally separated and optimise...
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Nazia Anwar and Huifang Deng
Scientific workflow applications are collections of several structured activities and fine-grained computational tasks. Scientific workflow scheduling in cloud computing is a challenging research topic due to its distinctive features. In cloud environmen...
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Michele Weiland,Adrian Jackson,Nick Johnson,Mark Parsons
Pág. 79 - 94
Byte-addressable storage class memory (SCM) is an upcoming technology that will transform the memory and storage hierarchy of HPC systems by dramatically reducing the latency gap between DRAM and persistent storage. In this paper, we discuss general SCM ...
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Rosa M Badia,Eduard Ayguade,Jesus Labarta
Pág. 27 - 47
Workflows have been used traditionally as a mean to describe and implement the computing usually parametric studies and explorations searching for the best solution that scientific researchers want to perform. A workflow is not only...
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Michael Vetter,Stephan Olbrich
Pág. 55 - 67
With large-scale simulation models on massively parallel supercomputers generating increasingly large data sets, in-situ visualization is a promising way to avoid bottlenecks. Enabling in-situ visualization in a simulation model asks for special attentio...
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Prodan, R.; Fahringer, T.
Pág. 378 - 393
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