In this paper, we present HEPnOS, a distributed data service for managing data produced by high-energy physics (HEP) experiments. Using HEPnOS, HEP applications can use HPC …
With the rise of exascale systems and large, datacentric workflows, the need to observe and analyze high performance computing (HPC) applications during their execution is becoming …
Heterogeneous workflows represent a promising approach for overcoming traditional application performance limitations and to accelerate scientific insight on high-performance …
High-performance computing (HPC) applications and workflows are increasingly making use of custom data services to complement traditional parallel file systems with fast transient …
Heterogeneous workflows represent a promising approach for overcoming traditional application performance limitations and to accelerate scientific insight on high-performance …
This chapter contains unpublished and published material with and without co-authorship. Sections 2.1, 2.2, 2.3, 2.4, 2.5 contain material from the departmental requirement, the Area …
Abstract Traditionally, High Performance Computing (HPC) software has been built and deployed as bulk-synchronous, parallel executables based on the message-passing …