33,110 research outputs found
Exploring Scientific Application Performance Using Large Scale Object Storage
One of the major performance and scalability bottlenecks in large scientific
applications is parallel reading and writing to supercomputer I/O systems. The
usage of parallel file systems and consistency requirements of POSIX, that all
the traditional HPC parallel I/O interfaces adhere to, pose limitations to the
scalability of scientific applications. Object storage is a widely used storage
technology in cloud computing and is more frequently proposed for HPC workload
to address and improve the current scalability and performance of I/O in
scientific applications. While object storage is a promising technology, it is
still unclear how scientific applications will use object storage and what the
main performance benefits will be. This work addresses these questions, by
emulating an object storage used by a traditional scientific application and
evaluating potential performance benefits. We show that scientific applications
can benefit from the usage of object storage on large scales.Comment: Preprint submitted to WOPSSS workshop at ISC 201
Design of the CAM model and authoring tool
Students benefit from personalised attention; however, often teachers are unable to provide this. An Adaptive Hypermedia (AH) system can offer a richer learning experience in an educational environment, by giving personalised attention to students. On-line courses are becoming increasingly popular by means of Learning Management Systems (LSM). The aim of the GRAPPLE project is to integrate an AH with major LMS, to provide an environment that delivers personalised courses in a LMS interface. However, designing an AH is a much more complex and time-consuming task, than creating a course in a LMS. Several models and systems were developed previously, but the (re)-usability by educational authors of the adaptation remains limited. To simplify adaptive behaviour authoring for an educational author, a visual environment was selected as being most intuitive. This paper describes a reference model for authoring in a visual way and introduces an authoring tool based upon this model
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