Intel® HPC Developer Conference 2017
Tomorrow’s HPC innovations will be powered by amazing technologies that enable organizations to accelerate discovery and invention.
The Intel® HPC Developer Conference 2017 featured industry luminaries sharing best practices and techniques to help realize the potential of these technologies. Attendees gained hands-on experience with Intel platforms, networked with peers and industry experts, and gained insight on recent technology advances to maximize software efficiency that help drive discovery and unleash the future.
The Intel® HPC Developer Conference is the premier technical training event to meet and hear from Intel® architecture experts and connect with HPC and AI industry leaders. 2017 attendees joined together in Denver, Colorado to learn what's next in HPC and AI, attend technical sessions, hands-on tutorials, and poster chats that covered parallel programming, high productivity languages, artificial intelligence, systems, enterprise, visualization development, and much more.
Special thanks to our 2017 sponsors
If you missed the 2017 Intel® HPC Developer Conference, we encourage you to explore the keynote, panel, and plenary speakers. Recordings are available for on-demand viewing at the links below.
Industry Panel (Saturday, November 11, 2017 12:15-12:50 p.m.)
HPC Enthusiast & Consultant
Professor, School of Physics and Astronomy, University of Edinburgh and Co-Design Leader for The Allan Turing Institute
Professor of Applied Mathematics & Statistics and Computer Science at Stony Brook University
Chief Technical Officer, NAG Group
Senior Principal Engineer in the Developer Products Division of the Intel Software and Services Group
Conference Agenda 2017
Conference attendees joined us to hear technical content from Intel and industry experts featuring real case studies. Attendees participated in two days of technical lectures, hands-on tutorials, and poster sessions that focused on Parallel Programming, Artificial Intelligence, High Productivity Languages, Systems, Enterprise, Visualization Development, and much more. Please view the sessions tab for more detailed information.
|Conference Day One:||Saturday, November 11, 2017|
|9:00-10:00 a.m.||Welcome and Opening Keynote – Grand Ballroom|
|10:15-11:45 a.m.||Sessions: Technical Lectures, Hands-on Tutorials, and Posters|
|11:45 a.m.-12:15 p.m.||Lunch|
|12:15-12:50 p.m.||Industry Panel – Grand Ballroom|
|1:00-2:30 p.m.||Sessions: Technical Lectures, Hands-on Tutorials, and Posters|
|2:45-4:15 p.m.||Sessions: Technical Lectures, Hands-on Tutorials, and Posters|
|4:30-5:30 p.m.||Plenary Session – Grand Ballroom|
|5:30-7:30 p.m.||Networking: Poster Sessions, Meet the Experts, and More|
|Conference Day Two:||Sunday, November 12, 2017|
|8:30-9:30 a.m.||Plenary Session – Grand Ballroom|
|9:45-10:45 a.m.||Sessions: Technical Lectures, Hands-on Tutorials, and Posters|
|11:00 a.m.-12:00 p.m.||Sessions: Technical Lectures, Hands-on Tutorials, and Posters|
|12:15-1:30 p.m.||Plenary Session and Awards Ceremony – Grand Ballroom|
The 2017 conference was held at the Sheraton Denver Downtown in Denver, Colorado, a modern hotel near the Colorado Convention Center.
The Intel® HPC Developer Conference 2017 sessions covered the key topics below. Follow the quick links to download session materials and view session recordings.
Parallelism is critical to achieving performance at all levels of the computing landscape, from small edge devices to the largest supercomputers. Taking advantage of parallelism requires the right programming tools, techniques, and knowledge. The content addresses Parallel Algorithms, Parallel Programming Tools or Libraries, Parallel Programming Debugging, Parallel Programming Optimization Techniques, and more.
In programming, scripting languages typically fall under the “faster to learn, easy to write but not performant” where the two qualities are the reasons why you picked it in the first place, but you would like all three! High productivity languages such as Python, R, and Julia are helping drive not only emerging research in HPC but also being deployed at scale in big data/machine learning HPC environments.
Machine Learning/Deep Learning is transforming everything from self-driving cars to health care analytics. Machine learning optimization or results on Intel platforms, storage, file systems, and databases are all factors when conducting research, application, and scaling techniques in HPC environments.
Configuration, Management & Cloud – Standing up HPC systems, keeping them healthy and running optimally is challenging at any scale. Additionally, the availability of cloud based HPC resources and containerization has fostered new usage models. Deployment and management of HPC resources along with their complex software ecosystems requires addressing the OpenHPC, system configuration and management, cloud (setup or usage), and portability.
Enterprise (coming soon)
In today’s hyper-competitive, data-dependent world, businesses must compete smarter to differentiate effectively, deliver new products, and see faster results. Cutting-edge business analytics and artificial intelligence are fundamental to achieving and retaining competitive advantage. Enterprise integration, analytics, machine learning, artificial intelligence, and HPC technology convergence are elements to harvesting the power of analytics and the latest Intel technology platforms to drive business growth and innovation.
Visualization Development (coming soon)
The latest highly parallel Intel® processors enable high performance, interactive and high fidelity (up to photo-realistic) CPU based rendering using software defined libraries. The content addresses OpenSWR, OSPRay, Embree, ParaView, VTK, VTK-m, VisIt, VMD, EnSight, In-Situ Visualization case studies, implementations, and research involving CPU based visualization applications and infrastructure.
Tutorials (coming soon)
“Practice makes perfect” as they say and nothing replaces the real experience of being at the keyboard challenging attendees to learn the latest in your area of research and expertise. Tutorials provide users with code examples and experiences in developing, optimizing, and running high-performance and artificial intelligence codes.
Posters (coming soon)
Illustrating HPC methods and outcomes for diverse applications including self-driving cars, molecular dynamics, and astronomy.