SMC 2020 : Smoky Mountains Computational Sciences & Engineering Conference Kingsport, TN, United States
|
|||||||||
Event Date: | August 24, 2020 - August 27, 2020 |
---|---|
Abstract Submission Deadline: | April 03, 2020 |
Submission Deadline: | June 08, 2020 |
Notification of Acceptance: | June 22, 2020 |
Camera Ready Version Due: | July 24, 2020 |
About |
The Smoky Mountains Computational Sciences and Engineering Conference (SMC2020) is a premier event for discussing the latest developments in computational sciences and engineering for high-performance computing (HPC) and integrated instruments for science. The conference has been held since 2003. This year, the 18th installment of the conference will be held in Kingsport, TN. The conference focuses on four major areas—theory, experiment, modeling and simulation, and data—that focus on accelerated node computing and integrated instruments for science. |
Call for Papers |
This year, the program committee will accept vision papers that include the author’s perspective on the most important directions for research, development, production and experiences, and needs for investment in the specific areas identified in the following five sessions: Session 1. Computational Applications: Converged HPC and Artificial Intelligence (AI)Session chairs – Bronson Messer and Steven Hamilton, ORNLThis session will address applications that embrace data-driven and first-principle methods, focusing on converging AI methods and approaches with high-performance modeling and simulation applications. Topics will include experiences, algorithms, and numerical methods that will play an important role in this area. Participants will discuss how simulation can be used to train AI models and integrate them to work with simulation applications while quantifying errors. Session 2. System Software: Data Infrastructure and Life CycleSession chairs – Sudharshan Vazhkudai and Amy Rose, ORNLIn this session, participants will consider the scientific data life cycle from collection to archive, including all the aspects in between and the infrastructure needed to support it. The group will cover techniques and system designs needed to securely publish, curate, stage, store, reduce, and compress data. Also relevant are techniques to annotate the data with metadata and automatically extract information from datasets that will aid with the scalable search and discovery of mountains of data. Session 3. Experimental/Observational Applications: Use Cases That Drive Requirements for AI and HPC ConvergenceSession chairs – Kate Evans and Vincent Paquit, ORNLParticipants will discuss ways to use multiple federated scientific instruments with data sets and large-scale compute capabilities, including sensors, actuators, instruments for HPC systems, data stores, and other network-connected devices. Some of the AI and HPC workloads are being pushed to the edge (closer to the instruments) while large-scale simulations are scheduled on HPC systems with large capacities. This session will focus on use cases that require multiple scientific instruments, emphasizing use cases that combine AI and HPC with edge computing. Priority areas of interest include, but are not limited to:
Session 4. Deploying Computation: On the Road to a Converged EcosystemSession chairs – Gina Tourassi and Arjun Shankar, ORNLTopics will include industry experience and plans for deploying the hardware and software infrastructure needed to support applications used for AI methodologies and simulation to deploy next-generation HPC and data science systems. This session will focus on how emerging technologies can be co-designed to support compute and data workflows at scale. * Session 5. Scientific Data Challenges: Data SponsorsSession chair – Suzanne Parete-Koon, ORNLSMC2020 provides scientists with an opportunity to become scientific data sponsors and describe challenges for eminent data sets at ORNL. These data sets will be used for the SMC Data Challenge (SMCDC2020) competition (https://smc-datachallenge.ornl.gov). These data sets come from scientific simulations and instruments in physical and chemical sciences, electron microscopy, bioinformatics, neutron sources, urban development, and other areas. The goal of this session is to provide and describe a significant data set, then formulate three to five challenge questions associated with the data set in a paper. The challenge questions for each data set will cover multiple difficulty levels. The first question in each challenge should be suitable for a novice, with each subsequent question increasing in difficulty and the series of questions ending with an advanced/expert level challenge question. These challenges are intended to draw scientists and researchers at the beginning stages of incorporating data analytics into their workflow, as well as data analytics experts interested in applying novel data analytics techniques to data sets of national importance. * Data sponsor papers are invited papers and don’t need to submit an abstract |
Summary |
SMC 2020 : Smoky Mountains Computational Sciences & Engineering Conference will take place in Kingsport, TN, United States. It’s a 4 days event starting on Aug 24, 2020 (Monday) and will be winded up on Aug 27, 2020 (Thursday). SMC 2020 falls under the following areas: HIGH PERFORMANCE COMPUTING, ARTIFICIAL INTELLIGENCE, EDGE COMPUTING, etc. Submissions for this Conference can be made by Jun 08, 2020. Authors can expect the result of submission by Jun 22, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 24, 2020 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the SMC 2020
|
Credits and Sources |
[1] SMC 2020 : Smoky Mountains Computational Sciences & Engineering Conference |