[hpc-announce] intel HPC Developer Conference
Cownie, James H
james.h.cownie at intel.com
Mon Jul 10 04:14:32 CDT 2017
Submissions for the Intel HPC Developer Conference Denver, CO November 11-12, 2017 are open, as is the registration site<https://www.intel.com/content/www/us/en/events/hpcdevcon/overview.html>.
Please visit https://intelhpcdc2017cfa.hubb.me/ to submit
INTEL(r) HPC DEVELOPER CONFERENCE 2017 SUBMISSION INSTRUCTIONS
We are looking for abstracts in the following three areas:
1. Technical Lecture (30 minutes): conveying your breakthrough experience
2. Hands-on Tutorial (90 minutes): providing instructions on key steps taken in your discovery
3. Poster Session (60 minutes): illustrating your research methods and outcomes
* Download the Intel(r) HPC Developer Conference poster template here<https://dynamiceventscorp.blob.core.windows.net/intelhpcdevcon2017cfa/Intel%20HPC%20DC%20%202017%20Poster%20Chat%20Template.pptx>
We encourage you to submit abstracts associated with the key topics listed below.
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. We welcome experiences in all aspects of code modernization from vectorization to threading to message passing on a variety of parallel computing platforms.
* Content that addresses: Parallel Algorithms, Parallel Programming Tools or Libraries, Parallel Programming Debugging, Parallel Programming Optimization Techniques
High Productivity Languages
"Good, Cheap, and Fast... Pick Two" is the adage that is often used to highlight trade-offs in selecting qualities that you desire. 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! This area will focus on how these 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.
* Content that addresses: Python, R, MATLAB, Julia
Machine Learning/Deep Learning: Machine Learning is transforming everything from self-driving cars to health care analytics. We welcome deep dive technical sessions that focus on machine learning research, application and scaling techniques in HPC environments.
* Content that addresses: ML Optimization or Results on Intel Platforms, Storage, File Systems, Databases
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. This area's focus will be on the deployment and management of HPC resources along with their complex software ecosystems.
* Content that addresses: OpenHPC, System Configuration and Management, Cloud (setup or usage), and Portabilit
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. This area focuses on how real-world enterprises harness the power of analytics and the latest Intel technology platforms to drive business growth and innovation.
* Content that addresses: Enterprise integration, analytics, machine learning, artificial intelligence, enterprise and HPC technology convergence
The latest highly parallel Intel(r) processors enable high performance, interactive and high fidelity (up to photo-realistic) CPU based rendering using libraries such as Mesa with OpenSWR, Embree, and OSPRay. We welcome case studies, implementations, and research involving CPU based Visualization applications and infrastructure.
* Content that addresses: OpenSWR, OSPRay, Embree, ParaView, VTK, VTK-m, VisIt, VMD, EnSight, In-Situ Visualization
Important dates: abstracts will be reviewed on a rolling basis.
Early submissions deadline
Early submissions notifications sent
Regular submissions deadline
Regular submissions notifications sent
Speaker date & time of session notifications sent
Jim Cownie <james.h.cownie at intel.com>
SSG/DPD/TCAR (Technical Computing, Analyzers, and Runtimes)
Tel: +44 117 9071438
Intel Corporation (UK) Limited
Registered No. 1134945 (England)
Registered Office: Pipers Way, Swindon SN3 1RJ
VAT No: 860 2173 47
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