Understanding User Behavior: From HPC to HTC

Understanding User Behavior: From HPC to HTC

In this paper, we investigate the differences and similarities in user job submission behavior in High Performance Computing (HPC) and High Throughput Computing (HTC). We consider job submission behavior in terms of parallel batch-wise submissions, as well as delays and pauses in job submission. Our findings show that modeling user-based HTC job submission behavior requires knowledge of the und...

What’s working in HPC: Investigating HPC User Behavior and Productivity

Productivity in High Performance Computing (HPC) systems can be difficult to define, complicated by the sometimes competing motivations of the people involved. For example, scheduling policies at many centers are geared toward maximizing system utilization, while users are motivated only by the desire to produce scientific results. Neither of these motivating forces directly relates to the comm...

Understanding User Behavior Geospatially

Understanding users is an essential task for providing personal Web experience and targeted advertisements. Current commercial or research systems try to understand users from their online behaviors, for example, how they search, read and write on the Web. However, this type of approaches missed a large part of people’s everyday life, or called ‘physical’ behaviors. The physical behaviors inclu...

High Performance Grid Computing: getting HPC and HTC all together

Scientific workflow orchestration interoperating HTC and HPC resources

In this work we describe our developments towards the provision of a unified access method to different types of computing infrastructures at the interoperation level. For that, we have developed a middleware suite which bridges not interoperable middleware stacks used for building distributed computing infrastructues, UNICORE and gLite. Our solution allows to transparently access and operate o...