Improving HPC Application Performance in Public Cloud

Transistor scaled HPC application performance

Transistor Scaled HPC Application Performance

Analyzing Performance and Efficiency of HPC Applications in the Cloud

Elasticity is a key feature of cloud computing in which the resources can be dynamically changed on-the-fly. In the HPC scenario, a user may want to adjust the resources availability to increase performance. A way to measure performance and efficiency of parallel applications with fixed number of resources is the speedup metric. However this metric does not apply to elastic cloud infrastructure...

Performance analysis of HPC applications in the cloud

The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers are more focused on deploying systems with higher computational power interconnected via high-speed networks rather than improving the scalability of the communication middleware. Th...

Performance Evaluation of Multiple Cloud Data Centers Allocations for HPC

This paper evaluates the behavior of the Microsoft Azure G5 cloud instance type over multiple Data Centers. The purpose is to identify if there are major differences between them and to help the users choose the best option for their needs. Our results show that there are differences in the network level for the same instance type in different locations and inside the same location at different...