Jan Meizner

Heterogeneous Exascale Computing

Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet.

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Exascale Computing and Data Architectures for Brownfield Applications

Despite the recent dramatic advances in the computational and data processing capacities of the commodity solutions, a numerous scientific, socioeconomic and industrial “grand challenges” exists that could be solved only through capabilities that exceed the current solutions by orders of magnitude.

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Composing, Execution and Sharing of Multiscale Applications

This paper presents the research which led to elaboration of an environment for composing, executing and sharing multiscale applications.

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Secure Storage and Processing of Confidential Data on Public Clouds

The goal of this paper is to describe problems associated with storage and processing of confidential data in public clouds, and to propose relevant mitigation strategies.

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Evaluation of Cloud Providers for VPH Applications

Infrastructure as a Service (IaaS) clouds are considered interesting sources of computing and storage resources for scientific applications.

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The Collage Authoring Environment: From Proof-of-Concept Prototype to Pilot Service

The aim of this paper is to present the pilot service of the Collage Authoring Environment enabling executable scientific publications that is based on the GridSpace2 distributed computing platform and integrated with the online publisher platform ScienceDirect, provided under the auspices of Elsevier.

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Managing Entire Lifecycles of E-Science Applications in the GridSpace2 Virtual Laboratory – From Motivation through Idea to Operable Web-Accessible Environment Built on Top of PL-Grid e-Infrastructure

The GridSpace2 environment, developed in the scope of the PL-Grid Polish National Grid Initiative, constitutes a comprehensive platform which supports e-science applications throughout their entire lifecycle.

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The Collage Authoring Environment

The Collage Authoring Environment is a software infrastructure which enables domain scientists to collaboratively develop and publish their work in the form of executable papers.

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