“Starting in 2015, Oak Ridge National Laboratory partnered with the University of Tennessee to offer a minor-degree program in data center technology and management, one of the first offerings of its kind in the country. ORNL staff members developed the senior-level course in collaboration with UT College of Engineering professor Mark Dean after an ORNL strategic partner identified a need for employees who could bridge both the facilities and operational aspects of running a data center. In addition to developing the course curriculum, ORNL staff members are also serving as guest lecturers.”
Oak Ridge National Lab is hosting a 3-day GPU Mini-hackathon led by experts from the OLCF and Nvidia. The event takes place Nov. 1-3 in Knoxville, Tennessee. “General-purpose Graphics Processing Units (GPGPUs) potentially offer exceptionally high memory bandwidth and performance for a wide range of applications. The challenge in utilizing such accelerators has been the difficulty in programming them. This event will introduce you to GPU programming techniques.”
Submissions are now open for ISC 2017 tutorial and workshop proposals. The ISC 2017 conference takes place June 18-22, 2017 in Frankfurt, Germany.
Over at the Nvidia Blog, Jamie Beckett writes that the company’s is expanding its Deep Learning Institute with Microsoft and Coursera. The institute provides training to help people apply deep learning to solve challenging problems.
Coming to SC16? Intel is hosting a one-day Lustre training session on Friday November 18th, 2016 at the Sheraton in Salt Lake City. “You can expect the top Lustre experts to spend the day with on the training topics that you care about.”
Applications are now open for the annual SuperComputing Camp in Colombia. The five-day camp takes place Oct. 16-21 at CIBioFI at Universidad del Valle in Santiago de Cali.
“High performance computing has transformed how science and engineering research is conducted. Answering a question in 30 minutes that used to take 6 months can quickly change the way one asks questions. Large computing facilities provide access to some of the world’s largest computing, data, and network resources in the world. Indeed, the DOE complex has the highest concentration of supercomputing capability in the world. However, by nature of their existence, making use of the largest computers in the world can be a challenging and unique task. This talk will discuss how supercomputers are unique and explain how that impacts their use.”
Today SIGHPC announced the first-ever recipients of the ACM SIGHPC/Intel Computational and Data Science Fellowship. The fellowship is funded by Intel and was announced at the high performance computing community’s SC conference in November of last year. Established to increase the diversity of students pursuing graduate degrees in data science and computational science, the fellowship […]
Today insideHPC is pleased to share news about Xand McMahon a newly formed marketing agency focused on HPC and technical computing. “Xand McMahon is a joint venture between two familiar faces in the HPC community: Lara Kisielewska from Xand Marketing and Kim McMahon from McMahon Consulting. As kind of a one-stop shop, Xand McMahon provides a full range of strategic and tactical marketing services for companies seeking to capture market share in HPC and technical computing. Both women entered the HPC arena in 1999 and have worked with dozens of HPC firms to provide messaging and branding, go-to-market strategies, advertising, PR, social media, event production, road shows, trade show management, technical content, partner management, lead generation, and product launches.”
With the release of a Developer Access Program for the Intel Xeon Phi Processor codenamed Knights Landing, Intel and its partner Colfax are widening early levels of access, support and training for the widely anticipated next-generation Intel Xeon Phi processor release. The Developer Access Program gives developers the opportunity to begin leveraging key new capabilities in the processor before they are generally available. That means developers will have time to work to parallelize and vectorize their code and look for opportunities to exploit the massive performance capabilities that KNL offers so workloads are ready for prime time when customers deploy their next-generation systems.