Today the Open Fabrics Alliance announced that their upcoming International OFS Developers’ Workshop will center around three major themes: Applications Performance, Non-Volatile Memory, and Systems-on-a-Chip (SoCs).
In this video, Ken Kraft from Intel describes his experiences as a participant in SC Conference Mentor-Protege program. “The SC15 conference is broadening its mission to build a strong and diverse HPC student community at both the undergraduate and graduate levels, through professional development programs, opportunities to learn from mentors, and engagement with SC’s technical sessions.”
“Geoscientists need tools to allow them to rapidly develop algorithms that run fast on accelerators, while at the same time deliver portability and improve productivity. They demand a single source code, with no need to maintain multiple code paths, using a high-level approach that presents a low learning curve. OpenACC provides directives-based approaches to rapidly accelerating applications for GPUs and other parallel architectures. This talk will serve as an introduction to programming with OpenACC 2.0.”
The SC15 theme is ‘HPC Transforms’ and we’re looking to do as much as we can so that our student attendees’ ideas about school and careers are also transformed,” said Jeanine Cook, Student Program Chair. “In my 10 years as a professor, I saw many times how just the right opportunity or word of encouragement could have a powerful effect on a student’s career choice and development. At SC15, we want to provide that kind of inspiration to as many students as possible.”
“The UberCloud Community brings together over 3,000 participants to pave the way for the Technical Computing Cloud. UberCloud Experiment teams explore the end-to-end process of accessing remote computing resources in HPC centers and in the Cloud to study and overcome the potential roadblocks for industry applications such as CAE, Bio and Life Sciences.”
“An increasing number of GPU enabled applications are available to the HPC community. The key issues are understanding the enhanced application performance and corresponding increase in power consumption due to GPUs. In most cases these depend on the CPU to GPU ratio and the way GPUs and connected to CPUs. Latest compute node designs allow flexibility to select the number of GPUs and how they are connected CPUs. This offers users a unique opportunity to select the a suitable operating point according to their application characteristics. This talk is about studying the performance vs. power tradeoff on a few common HPC applications.”