This work presents LIMITLESS, a HPC framework that provides new strategies for
monitoring clusters. LIMITLESS is a scalable light-weight monitor that is integrated with other …

The future of high performance computing, as being currently foretold, will gravitate toward
hundreds of thousands to million node machines, harnessing the computing power of …

Many high-performance tools, applications and infrastructures, such as Paradyn, STAT,
TAU, Ganglia, SuperMon, Astrolabe, Borealis, and MRNet, use data aggregation to …

In this paper, we present an update on the scalable online support for performance data
analysis and monitoring in TAU. Extending on our prior work with TAUoverSupermon and …

Group file operations are a new, intuitive idiom for tools and middleware-including parallel
debuggers and runtimes, performance measurement and steering, and distributed resource …

Ultimately, our Creator is responsible for all. I was fortunate to have an excellent and strong
support system throughout this process. With great pleasure and extreme gratitude, I thank …

In this work, we address the problem of locally estimating the size of a Peerto-Peer (P2P)
network using local information. We present a novel approach for estimating the size of a …

Group file operations are a new, intuitive idiom for tools and middleware-including parallel
debuggers and runtimes, performance measurement and steering, and distributed resource …

Debugging is a critical step in the development of any parallel program. However, the
traditional interactive debugging model, where users manually step through code and …

The use of parallel/distributed programming increases as it enables high performance
computing. There are many tools that help a user in the performance analysis of the …