DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability

Contributions for Resource and Job Management in High Performance Computing Contributions for Resource and Job Management in High Performance Computing

High Performance Computing is characterized by the latest technological evolutions in computing architectures and by the increasing needs of applications for computing power. A particular middleware called Resource and Job Management System (RJMS), is responsible for delivering computing power to applications. The RJMS plays an important role in HPC since it has a strategic place in the whole s...

Efficient Resource Management

The design of linear logic programming languages and theorem provers opens a number of new implementation challenges not present in more traditional logic languages such as Horn clauses (Prolog) and hereditary Harrop formulas (λProlog). Among these, the problem of efficiently managing the linear context when solving a goal is of crucial importance for the use of these systems in non-trivial app...

Shared resource management for efficient heterogeneous computing

Efficient Resource Management for Malleable Applications

In this paper we present a method for managing concurrent parallel applications on large shared-memory machines efficiently and fair. It combines advantages of space-sharing for tight coupled parallel applications and the possibility of immediate job execution in time-sharing environments. An application parallelism manager (APM) assigns system resources to running jobs on the fly. In case of c...

Harnessing Virtual Machine Resource Control for Job Management

Virtual machine technology promises important benefits for grid computing and cluster batch job systems, including improved isolation, customizable workspaces, and support for checkpointing and migration. One way to gain these benefits is to “drill holes” in existing batch computing systems; however, we believe these new capabilities warrant a rethinking of the architectures of existing systems...