Today the Jülich Supercomputing Centre announced that Dr. Bernd Mohr has been elected General Chair of the SC17 Supercomputing Conference. This is the first time that somebody outside the USA will chair the most important conference for high performance computing, which has been running for the last 26 years.
“To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload through performing profile analysis, and comparing behaviors of using different hardware which pinpoint bottlenecks in different areas of the HPC cluster. In this session, a selection of HPC applications will be shown to demonstrate various methods of profiling and analysis to determine the bottleneck, and the effectiveness of the tuning to improve on the application performance.”
“This presentation examines the HPC performance characteristics of CAE software, and the current state of GPU parallel solvers in commercial CAE that support product design in manufacturing industries. Case studies from industry will be presented that include HPC adoption of GPUs for production CAE and HPC technology and the benefits they provide. Rapid simulation from GPUs demonstrates the potential of a novel HPC technology that can transform current practices in engineering analysis and design optimization procedures.”
In this video from the GPU Technology Conference, Rick Young from Ingram Micro describes the company’s Artizen HPC solutions. “Available now to channel partners in the U.S., the distributor’s new and exclusive line of Artizen High Performance Computing (HPC) offerings include turnkey high performance servers, ultimate workstations, and customizable supercomputing clusters, as well as computing integration and software installation services.”
“This presentation will provide an overview of the Nvidia Tesla Deployment Kit (TDK) from a user and a system administrator point of view. TDL contains Nvidia Management Library (NVML) and nvidia-healthmon–a tool for detecting and troubleshooting known GPU issues in a cluster environment. Usage models within a cluster environment will be presented along with a discussion on how existing resource management tools can be extended to improve allocation and accounting of GPU resources.”
“HPC storage solutions and futures continue to evolve as growth and performance requirements permeate every HPC market segment. Torben discusses these challenges and how the company’s storage solutions are addressing these shifting needs with new developments around disk drives, RAID, CIFS, security, small file handling, and other related technologies.”
In this talk, we introduce the rCUDA remote GPU virtualization framework, which has been shown to be the only one that supports the most recent CUDA versions, in addition to leverage the InfiniBand interconnect for the sake of performance. Furthermore, we also present the last developments within this framework, related with the use of low-power processors, enhanced job schedulers, and virtual machine environments.”
“Congratulations go out to Troy Baer, HPC system administrator at the National Institute for Computational Sciences (NICS), University of Tennessee. Troy Baer’s contributions in scheduling and resource management using Moab have helped Kraken—NICS’ flagship computing resource and the first academic computer to break the petaflop barrier—achieve outstanding 90-95% utilization rates since 2010. Baer’s administrative capabilities enable researchers in numerous scientific arenas, from climate to materials science to astrophysics, to achieve breakthroughs not yet possible on other resources. In November 2012, Baer helped NICS’ Beacon system secure a No. 1 ranking on the Green500 list of energy-efficient supercomputers.”