Andrew T. Tauferner

HPC-Colony: services and interfaces for very large systems

Traditional full-featured operating systems are known to have properties that limit the scalability of distributed memory parallel programs, the most common programming paradigm utilized in high end computing. Furthermore, as processor counts increase with the most capable systems, the necessary activity to manage the system becomes more of a burden. To make a general purpose operating system scale to such levels, new technology is required for parallel resource management and global system management (including fault management). In this paper, we describe the shortcomings of full-featured operating systems and runtime systems and discuss an approach to scale such systems to one hundred thousand processors with both scalable parallel application performance and efficient system management.

Linux OS Jitter Measurements at Large Node Counts using a BlueGene/L

We present experimental results for a coordinated scheduling implementation of the Linux operating system. Results were collected on an IBM Blue Gene/L machine at scales up to 16K nodes. Our results indicate coordinated scheduling was able to provide a dramatic improvement in scaling performance for two applications characterized as bulk synchronous parallel programs.