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Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [electronic resource] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon.
Format
Book
Language
English
Εdition
1st ed. 2022.
Published/Created
Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
Description
1 online resource (406 pages)
Availability
Available Online
Springer Nature - Springer Computer Science eBooks 2022 English International
Details
Subject(s)
Computer systems
[Browse]
Artificial intelligence
[Browse]
Image processing
—
Digital techniques
[Browse]
Computer vision
[Browse]
Social sciences
—
Data processing
[Browse]
Application software
[Browse]
Education
—
Data processing
[Browse]
Editor
Doug, Kothe
[Browse]
Series
Communications in Computer and Information Science, 1690
[More in this series]
Communications in Computer and Information Science, 1865-0937 ; 1690
[More in this series]
Summary note
This book constitutes the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually, during August 23–25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.
Bibliographic references
Includes bibliographical references and index.
Contents
Foundational Methods Enabling Science in an Integrated Ecosystem
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models
Self-learning Data Foundation for Scientific AI
Preconditioners for batched iterative linear solvers on GPUs
Mobility Aware Computation Offloading Model for Edge Computing
Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials
A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management
At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms
Implementation of a framework for deploying AI inference engines in FPGAs
Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem
Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data
Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems
The INTERSECT Open Federated Architecture for the Laboratory of the Future
Real-Time Edge Processing During Data Acquisition
Towards a Software Development Framework for Interconnected Science Ecosystems
Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem
Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning
Toward an Autonomous Workflow for Bragg Peak Detection at SNS
Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows
Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem
Simulation Workflows in Minutes, at Scale for Next-Generation HPC
Scientific Data Challenges
Machine Learning approaches to High Throughput Phenotyping
SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2
Usage Pattern Analysis for The Summit Login Nodes
Finding Hidden Patterns in High Resolution Wind Flow Model Simulations
Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area
Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
Show 26 more Contents items
ISBN
3-031-23606-8
Doi
10.1007/978-3-031-23606-8
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