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High Performance Computing (HPC) is a mainstream mode of exploration and analysis in different fields, not only technical but also social and life sciences. A well-established HPC domain is medicine, and cardiovascular sciences in particular. The adoption of CFD as a tool for diagnosis, prognosis, and treatment planning in the clinical routine is however still an open challenge. This computational...
Mobile collection and curation of health data is becoming increasingly common, offering great potential for health insights and digital interventions. There is increasing interest among clinical researchers to utilize these data streams for health science research, but the need for high levels of technical expertise and high costs of creating systems for aggregating and analyzing this data precludes...
Switching between computational resources in order to select the most suitable computational environment for application execution is a desirable component of utility like computing. As IaaS clouds offer bare-bones computational platforms, they seem to be perfect choice for any application, however, heterogeneity in operating systems and vendors' policies wrt system images hamper use of runtime environments...
Heterogeneity in interconnection network throughput and latency has recently become a major issue for parallel computing applications. With the universal prevalence of multicore processors, large scale clusters and, most critically, cloud platforms, variations in communication characteristics of orders of magnitude are possible within a single execution environment. When applications also exhibit...
One desired attribute of utility computing is the ability for any provider's offering to meet any user's requirement, but the variety of programming paradigms and platform models make this non-trivial. While higher specializations may be implemented on more generic layers, e.g. SaaS on PaaS, or PaaS on IaaS clouds, we attempt the inverse - deploying procedural message passing programs on a MapReduce...
Heterogeneity in secondary characteristics of different HPC target platforms is the focus of this paper. Clusters, grids, and (IaaS) clouds may appear straightforward to configure to be interchangeable - but our experiences with mainstream parallel codes for CFD demonstrate that secondary attributes - support software, interconnect type, availability, access, and cost - expose heterogeneous aspects...
High-performance applications are often developed for a specific class of target platforms and executing them on the increasing variety of Cloud and grid environments requires substantial adjustments and reconciliation. The aim of our framework, called ADAPT (Adaptive Application and Platform Translation), is to allow adaptation of applications for execution on various computational resources. The...
The paper describes our on-going project, termed Unibus, in the context of facilitating fault-tolerant executions of MPI applications on computing chunks in the cloud. In general, Unibus focuses on resource access virtualization and automatic, user-transparent resource provisioning that simplify use of heterogeneous resources available to users. In this work, we present the key Unibus concepts (the...
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