IXPUG Annual Conference 2019: IXPUG Annual Conference 2019 Globe of Science and Innovation at CERN Geneva, Switzerland, September 24-27, 2019

Event Description: This IXPUG conference is focused on all aspects of adopting and employing state-of-the-art data-processing technologies and techniques for optimal application execution. This includes accelerators (e.g. FPGAs, GPUs), as well as topics related to system hardware beyond the processor (memory, interconnect, etc.), software tools, programming models, new workloads, and more — all with a focus on Intel platforms. The conference will provide an interactive experience, organised around key themes associated with high-performance computing, data analytics, artificial intelligence (machine and deep learning), cloud computing, and more. The meeting will be held at CERN, the European Laboratory for Particle Physics, in Geneva, Switzerland. The conference will feature keynote presentations, invited talks, 30-minute technical sessions, 10-to-15-minute lightning talks, and two-hour hands-on tutorials. Attendees will encounter an open forum, through which experts from adademia and industry including Intel representatives will share best practices and techniques for maximizing software efficiency. We will share experience in using Intel architectures and technologies with fellow application programmers, software developers, scientists, researchers, academics, students, systems analysts, etc. The challenges surrounding application performance and scalability will be covered across all levels, including application tuning on large HPC systems.

Call for Abstracts

IXPUG is soliciting submissions for technical presentations on innovative work from users in academia, industry, government/national labs, OEMs, ISVs, etc. describing original discoveries, experiences and methods for obtaining efficient and scalable use of heterogeneous systems using Intel architectures and technology platforms. IXPUG welcomes technical abstracts that cover 30-minute technical sessions, 10-to-15 minute lightning talks, and two-hour hands-on tutorials. Please notice, tutorials should be interactive focusing on key topics of high-performance computing, data analytics, artificial intelligence (machine and deep learning, visualization, cloud or performance evaluation, etc.).

Abstract Submission Guidelines: A short abstract should be submitted by July 19, 2019 (updated!) via the EasyChair submission link listed above, and the content should reflect the topics of interest that are listed below. All final presentations are due by September 23, 2019. We would like you to include keywords that pertain to the techniques, Intel products and associated domains that pertain to your technical work. Please see the full list below:

• Techniques: Artificial Intelligence (Machine Learning/Deep Learning), Algorithms & Methods, Compiler Flags, Software Environment & Tools, Libraries & Tools, Parallel- Programming (Communications, Thread & Process Management Experience, All), Multi-node, Memory, Vectorization, etc.

• Products: Intel® Xeon Scalable processor, Intel® Omni Path Fabric, Intel® FPGA, Intel® SSDs/NVMe Solutions, Intel® Lustre Software and DAOS, Visualization Technology, Intel® SW Tools 

• Domains: Astrophysics, Bioinformatics, Chemistry, Climate & Weather, Computational Fluid Dynamics, Data Analytics, Energy/Oil & Gas, Financial Services, Geophysics, Life Sciences, Material Science, Medical imaging, Molecular Dynamics, Nanotechnology, Physics, Visualization, High Energy Physics, etc.

Abstract Topics of Interest:

• Implication of workload behavior on system design at extreme scale (Power, Reliability, Scalability, Performance, Processor Design, Memory System, I/O)

• Software environments and tools for computing at extreme scale (Instrumentation, Debugging/Correctness, Thread and Process Management, Libraries and Language Development)

• Experience using extreme scale systems: Usability, In-situ Visualization, Programming Challenges, Algorithms and Methods, etc.

• Application characterization on emerging technologies: Novel Memories (NVM), processors (Intel® Xeon Scalable processor, Intel® FPGA, etc.)

Organizers

• Thomas Steinke, IXPUG President (Zuse Institute Berlin)
• Estela Suarez (Juelich Supercomputing Centre)
• R. Glenn Brook, IXPUG Vice-President (University of Tennessee, Knoxville)
• Alberto Di Meglio (CERN openlab)
• Maria Girone (CERN openlab)
• Federico Carminati (CERN openlab)
• Sofia Vallecorsa (CERN openlab)
• Andrew Robert Purcell (CERN openlab)
• Kristina Gunne (CERN openlab)
• David Martin (Argonne National Laboratory)
• Richard Gerber (NERSC/LBNL)
• Nalini Kumar (Intel Corporation)
• Shari Lawrence (Intel Corporation)

Abstract Review Committee

• Thomas Steinke, IXPUG President (Zuse Institute Berlin)
• Estela Suarez (Juelich Supercomputing Centre)
• R. Glenn Brook, IXPUG Vice-President (University of Tennessee, Knoxville)
• Alberto Di Meglio (CERN openlab)
• Maria Girone (CERN openlab)
• Federico Carminati (CERN openlab)
• Sofia Vallecorsa (CERN openlab)
• Nalini Kumar (Intel Corporation)
• David Martin (Argonne National Laboratory)
• Richard Gerber (NERSC/LBNL)
• Hai Ah Nam (LANL)
• Clay Hughes (SNL)
• Fabio Affinito (CINECA)
• John Pennycook (Intel Corporation)
• David Keyes (KAUST)
• Taisuke Boku (University of Tsukuba)
• James Lin (Shanghai Jiao Tong University)
• Sergi Siso (UK Science & Technology Facilities Council)

Publication

IXPUG Annual Conference 2019 final presentations will be made accessible to download at https://www.ixpug.org/resources.

Venue

Globe of Science and Innovation at CERN, Geneva, Switzerland

Contact

All questions about submissions should be emailed to events@ixpug.org.

Sponsors

• CERN openlab
• Intel Corporation