“Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of HPC for industrial applications, along with a discussion of software challenges, business models, access models (e.g., cloud computing), public-private partnerships, simulation and modeling, visualization, big data analysis, and governmental and industrial influence.”
“Andreas Dilger from Intel presents an overview on the features currently under development for the upcoming Lustre 2.8 and 2.9 releases. This includes Layout Enhancement, Progressive File Layouts, Data-on-MDT, and improved single-client metadata and IO performance. In addition, several Lustre-specific ZFS improvements are also under development that will be available in this timeframe.”
“With the current Lustre Performance Monitoring Tool (LMT) no longer in active development, and the current version incompatible with DNE based Lustre 2.5 deployments, there is a critical need for a new set of tools delivering the same basic Lustre performance metrics with the added ability to work compatibly with contemporary releases of Lustre.”
The ISC High Performance conference brings out the very best in international supercomputing, and this year will be no exception with a host of content focused on HPC in Asia. Singapore has been a hotbed of HPC activity of late, so we caught up with Marek Michalewicz, who was recently named Chief Executive Officer at A*STAR Computational Resource Centre.
“The Cray-Seagate partnership is helping expand the boundaries of what’s possible in large-scale, data-intensive computing, far beyond what we could have imagined just 10 years ago. This continued innovation using the Lustre open file system is helping assist data-intense applications critical to advancements in important industries around the world.”
“The combination of the ephemeral nature of the cloud and directly addressable archives such as S3 suggest novel methods for using the Lustre HSM interface. Persistent data sets in the cloud need to be managed independently from a ephemeral filesystem and compute resources. Managing datasets in the cloud could, for example, involves importing data from Amazon’s S3 back into a freshly-created Lustre filesystem, performing I/O intensive computations, and then persisting the datasets back to S3 before terminating the filesystem and compute resources. Alternatives for archive formats will also be discussed. AWS S3 will be used for concrete examples, but the general methods should be applicable to other cloud environments as well.”