“To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload though 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 from tests conducted at the HPC Advisory Council High Performance Center.”
Today the HPC Advisory Council announced key dates for its 2017 international conference series in the USA and Switzerland. The conferences are designed to attract community-wide participation, industry leading sponsors and subject matter experts. “HPC is constantly evolving and reflects the driving force behind many medical, industrial and scientific breakthroughs using research that harnesses the power of HPC and yet, we’ve only scratched the surface with respect to exploiting the endless opportunities that HPC, modeling, and simulation present,” said Gilad Shainer, chairman of the HPC Advisory Council. “The HPCAC conference series presents a unique opportunity for the global HPC community to come together in an unprecedented fashion to share, collaborate, and innovate our way into the future.”
The HPC Advisory Council Stanford Conference has issued its Call for Papers and Presentations. The event takes place Feb. 7-8 in Palo Alto, CA. “We invite submissions introducing a wide range of topics, levels and considerations in HPC architectures, applications and usage – from fundamentals to the latest advances and hot topic areas. Submissions can be proposed as papers or presentation only (without papers).”
“The competition is an opportunity to showcase the world’s brightest computer science students’ expertise in a friendly, yet spirited competition,” said Martin Meuer, managing director of the ISC Group. “We are very pleased to host these 12 compelling university teams from around the world. We look forward to this very engaging competition and wish the teams good luck.”
Today the HPC Advisory Council announced the final results of the ISC 2016 Student Cluster Competition and the opening of 2017 team submissions. For the third time, South Africa’s Centre for High Performance Computing (CHPC) student team came away as the SCC Grand Champions, the first ‘three-peat’ in the history of the competition. The overall winners […]
In this video from ISC 2016 in Frankfurt, Gilad Shainer from the HPC Advisory Council hosts the Student Cluster Awards Ceremony. “The overall winning team this year was from CHPC in South Africa. As repeat winners, CHPC is establishing a bit of dynasty in this competition that is really fun to watch.”
ISC 2016 is only a week away, and the conference expects to host over 3000 supercomputing professionals from around the world. To bring some of the highlights home, the conference is planning to livestream video from the HPCAC-ISC Student Cluster Competition Awards Session.
Today the HPC Advisory Council announced its Fourth Annual RDMA Programming Competition in China. Designed to support undergraduate curriculum and talent development, this unique hands-on competition furthers students study, experience and mastery.
In this video from the 2016 HPC Advisory Council Switzerland Conference, Addison Snell from Intersect360 Research moderates a panel discussion on Exascale computing. “Exascale computing will uniquely provide knowledge leading to transformative advances for our economy, security and society in general. A failure to proceed with appropriate speed risks losing competitiveness in information technology, in our industrial base writ large, and in leading-edge science.”
“From image recognition in social media to self-driving cars and medical image processing, deep learning is everywhere in our daily lives. Learn about recent advancements in deep learning that have been made possible by improvements in algorithms, numerical methods, and the availability of large amounts of data for training, as well as accelerated computing solutions based on GPUs. With GPUs, great performance can be reached across a wide range of platforms, from model development on a workstation to training on HPC and data-center systems to embedded platforms, enabling new horizons for computing and AI applications.”