Kingsport, TN, USA, Aug 24-26, 2021 (Website: https://smc.ornl.gov/)
The Smoky Mountains Computational Sciences and Engineering Conference (SMC 2021) is a premier forum organized by the Department of Energy’s Oak Ridge National Laboratory (ORNL) that brings together researchers in high-performance computing (HPC) and integrated instruments for science; industry and government practitioners; and developers, users and policy makers to exchange ideas about the latest developments in HPC and to share best practices for a wide range of applications. The conference has four major focus areas: theory, experiment, modeling and simulation, and data, which are geared toward accelerated node computing and integrated instruments for science.
Historically, SMC has attracted a wide range of participants from academia, national laboratories, industry, and others with a penchant for solving problems. SMC 2021 features the interdisciplinary needs and nature of HPC and bridges the gap between HPC research and enterprise innovation, providing an alternative to highly specialized conferences focused on individual disciplines. The nineteenth iteration of SMC (SMC 2021) will take place from August 24 to 26, 2021. The conference format will be a hybrid event held in-person in Kingsport, Tennessee at the MeadowView Conference Resort & Convention Center and online via livestream. The setting for this conference may change depending on COVID-19 travel protocols and recommendations. The proceedings from SMC 2021 will be published in the Springer Communications in Computer and Information Science (CCIS) book series.
We invite proposals from data sponsors to take part in our fifth annual Smoky Mountains Data Challenge. This year’s SMC Data Challenge (SMCDC 2021) will be held in conjunction with SMC 2021 and will feature two categories of competitive shared tasks. The first track will consist of data analytics challenges for scientific datasets and the second track will present scientific use cases that utilize edge computing. In each challenge, participants will present solutions for exciting data analytics and research questions, providing new ideas for improvements to existing methods and advances beyond them.
Here is a tentative timeline of milestones:
Challenge descriptions due | Feb 20 |
Datasets | Mar 10 |
Website goes live | Apr 1 |
Outreach/marketing | Apr 1 until registration closes |
Registration opens | May 10 |
Registration closes | Jun 22 |
Submissions due | Jul 31 |
Selection process ends | Aug 6 |
SMC Conference | Aug 24 – Aug 26 |
With the explosion of data from scientific instruments and simulations, there is a critical need for data-driven methods for scientific discovery. We are inviting proposals from data sponsors that explore a variety of research questions. Previous years challenges included topics like publication mining, microscopy pixel classification, data from urban sciences to understand energy usage and improve vehicle efficiency, and data from cancer clinical trials, to name a few. Please refer to the SMC data challenge website for previous data challenges.
We are excited to announce that we are collaborating with NVIDIA to tackle research challenges in one of the most exciting areas of computing, edge computing. We are inviting use case proposals for edge computing challenges. Edge computing nodes are designed to reduce bandwidth and computational complexity and perform tasks such as real-time signal and image processing, combinatorial optimization, agent-based modeling, big data analysis, etc. For example, data processing tasks at edge such as compression, filtering, trigger handling, etc. can shorten time to discovery for researcher.
The sponsorship application submission process is similar to the data analytics call, but the format of the proposal may differ. A sample proposal can be seen here in this use case on Distracted Driver Monitoring.
As a data sponsor, you will be asked to:
Please submit your data sponsor proposals via EasyChair
If you have any questions regarding the challenge, please contact Pravi Devineni or Suzanne Parete-Koon at [email protected]