Partitioning and load balancing are important problems in scientific computing that can be
modeled as combinatorial problems using graphs or hypergraphs. The Zoltan toolkit was …

Proactive fault tolerance (FT) in high-performance computing is a concept that prevents
compute node failures from impacting running parallel applications by preemptively …

This paper reports on a comprehensive, fully automated resource use monitoring package,
TACC Stats, which enables both consultants, users and other stakeholders in an HPC …

Abstract High Performance Computing is now one of the emerging fields in computer
science and its applications. Top HPC facilities, supercomputers, offer great opportunities in …

Using the cloud computing paradigm, a host of companies promise to make huge compute
resources available to users on a pay-as-you-go basis. These resources can be configured …

Understanding the status of high-performance computing platforms and correlating
applications to resource usage provide insight into the interactions among platform …

Fault-detection and prediction in HPC clusters and Cloud-computing systems are
increasingly challenging issues. Several system middleware such as job schedulers and …

Traditionally, the problem of stereo matching has been addressed either by a local window-
based approach or a dense pixel-based approach using global optimization. In this paper …

Identifying design patterns that limit the performance of multi-core algorithms is a
challenging task. There are many known methods by which threads synchronize their …

TACC Stats is a continuous monitoring tool for HPC systems that collects data at the core
and process level for every job executing on a monitored system. That data can be …