With the capability of employing virtually unlimited compute resources, the cloud evolved into an attractive execution environment for applications from the High Performance Computing (HPC) domain. By means of elastic scaling, compute resources can be provisioned and decommissioned at runtime. This gives rise to a new concept in HPC: Elasticity of parallel computations. However, it is still an open research question to which extent HPC applications can benefit from elastic scaling and how to leverage elasticity of parallel computations. In this paper, we discuss how to address these challenges for HPC applications with dynamic task parallelism and present TASKWORK, a cloud-aware runtime system based on our findings. TASKWORK enables the imp...
AbstractOptimizing high-performance computing applications requires understanding of both the applic...
Traditional HPC (High Performance Computing) clusters are best suited for well-formed calculations. ...
We have developed HyperLoom - a platform for defining and executing scientific workflows in large-sc...
High Performance Computing (HPC) enables significant progress in both science and industry. Whereas ...
With on-demand access to compute resources, pay-per-use, and elasticity, the cloud evolved into an a...
Cloud resources can be dynamically provisioned according to application-specific requirements and ar...
In recent years, the cloud has become an attractive execution environment for parallel applications,...
Elasticity is one of the key features of cloud computing. It allows applications to dynamically scal...
In recent years, the interest in both scientific and business workflows has increased. A workflow is...
In an era of data explosion and analysis, researchers across the globe are trying to convert massive...
The cloud evolved into an attractive execution environment for parallel applications, which make use...
University of Minnesota Ph.D. dissertation. December 2018. Major: Computer Science. Advisor: Jon Wei...
Abstract—There is a clear trend towards using cloud re-sources in the scientific or the HPC communit...
The advantages of pay-as-you-go model, elasticity, and the flexibility and customization offered by ...
The exponential growth of data and application complexity has brought new challenges in the distribu...
AbstractOptimizing high-performance computing applications requires understanding of both the applic...
Traditional HPC (High Performance Computing) clusters are best suited for well-formed calculations. ...
We have developed HyperLoom - a platform for defining and executing scientific workflows in large-sc...
High Performance Computing (HPC) enables significant progress in both science and industry. Whereas ...
With on-demand access to compute resources, pay-per-use, and elasticity, the cloud evolved into an a...
Cloud resources can be dynamically provisioned according to application-specific requirements and ar...
In recent years, the cloud has become an attractive execution environment for parallel applications,...
Elasticity is one of the key features of cloud computing. It allows applications to dynamically scal...
In recent years, the interest in both scientific and business workflows has increased. A workflow is...
In an era of data explosion and analysis, researchers across the globe are trying to convert massive...
The cloud evolved into an attractive execution environment for parallel applications, which make use...
University of Minnesota Ph.D. dissertation. December 2018. Major: Computer Science. Advisor: Jon Wei...
Abstract—There is a clear trend towards using cloud re-sources in the scientific or the HPC communit...
The advantages of pay-as-you-go model, elasticity, and the flexibility and customization offered by ...
The exponential growth of data and application complexity has brought new challenges in the distribu...
AbstractOptimizing high-performance computing applications requires understanding of both the applic...
Traditional HPC (High Performance Computing) clusters are best suited for well-formed calculations. ...
We have developed HyperLoom - a platform for defining and executing scientific workflows in large-sc...