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At least 1,567 records · Page 87

SEEDling [SWR-20-99]

SEEDling is intended to simplify the merging of multiple data sources prior to importing into the SEED platform. Geographic information about buildings and taxlots is often obtained from various data sources, and the process of synthesizing this information for many buildings across a city can be burdensome for city data managers. SEEDling uses GIS tools to automate and simplify this process, as well as apply criteria for SEED inclusion (ex: sqft > 50k) and assign UBIDs, to create records that can be easily imported into the SEED platform.

Long, Nicholas↗

MIQS v0.6

In this research, we propose a novel Metadata Indexing and Querying for Self-describing formats (MIQS), which removes the external DBMS and utilizes in-memory index to achieve efficient metadata searching. MIQS follows the self-contained data management paradigm and provides portable and schema-free metadata indexing and querying functionalities for self-describing file formats. We have evaluated MIQS with the state-of-the-art MongoDB-based metadata indexing solution. MIQS achieved up to 99% time reduction in index construction and up to 172,000X search performance improvement with up to 75% reduction in memory footprint.

Byna, Suren↗

MIQS v0.6

In this research, we propose a novel Metadata Indexing and Querying for Self-describing formats (MIQS), which removes the external DBMS and utilizes in-memory index to achieve efficient metadata searching. MIQS follows the self-contained data management paradigm and provides portable and schema-free metadata indexing and querying functionalities for self-describing file formats. We have evaluated MIQS with the state-of-the-art MongoDB-based metadata indexing solution. MIQS achieved up to 99% time reduction in index construction and up to 172,000X search performance improvement with up to 75% reduction in memory footprint.

Byna, Suren↗

CORAL Prototype Implementation (CORAL) v0.1

This is prototype code that implements many of the concepts in our invention, "The CORAL Framework for FAIR Data Management and Analysis" (ROI 2019-123, attached). The code includes a back end module that interfaces with third party open source software (ArangoDB), and a front end user interface (UI) that allows user interaction with the software through a web interface.

Chandonia, John-Marc↗

CORAL Prototype Implementation (CORAL) v0.1

This is prototype code that implements many of the concepts in our invention, "The CORAL Framework for FAIR Data Management and Analysis" (ROI 2019-123, attached). The code includes a back end module that interfaces with third party open source software (ArangoDB), and a front end user interface (UI) that allows user interaction with the software through a web interface.

Chandonia, John-Marc↗

sycl-reduction benchmark v1.0.0

Some different SYCL implementations of the reduction operation. The parallel reduction kernel aggregates vector elements into a single result. It consists of four ways to implement the reduction operation using two different data management strategies, which we could not find elsewhere as a single package.

Dufek, Amanda↗

Vulcan Digital Engineering Application

The application is being developed with the goal of preventing the entropy of all the different single purpose applications. This application utilizes a framework that enables different file formats to be read and understood through plugins dynamically loaded to the main application containing the framework. The main application provides interoperability to all the different plugins, this allows each file format to convert to every other file format that has been read. There is no theoretical limit to the number of plugins that can be used by the application. Even though the plugins may be individually written and serve a purpose like single use scripts, the plugins can only be used with the main application, this forces the application and plugins to be linked. In theory this will force better data management, or at least the bundling of the main application with the plugins.

Lehmer, JacobP↗

kokkosSZ (kSZ) A Portable Cellerator Implementation of SZ using Kokkos Programming Model

kSZ is a Kokkos-based implementation of the world-widely used SZ lossy compressor. We use Kokkos because it provides abstractions for both parallel execution of code and data management, which can be used to support portable implementation across different accelerator technologies. Kokkos can support OpenMP/OpenMPTarget, oneAPI, Pthreads, and CUDA as backend programming models.

ECP↗

ornladios/ADIOS2

ADIOS 2: The Adaptable Input Output (I/O) System version 2 is an open-source framework that addresses scientific data management challenges, e.g. scalable parallel I/O, as we approach the exascale era in high-performance computing (HPC). ADIOS 2 bindings are available in C++, C, Fortran, Python and can be used on supercomputers, personal computers, and cloud systems running on Linux, macOS and Windows. ADIOS 2 has out-of-the-box support for MPI and serial environments.

ECP↗

Web application for machining parameter recommendation using visual analytics

The computer codes create a web application including multiple user interfaces, visualizations, interaction modules between the user, and visualizations. The visualizations will be interactive, allowing users to query the data directly, and they will be arranged in a dashboard. When selections are made in one visualization, filters will be applied to all other visualizations providing a coordinated system for asking questions about the data. The visualization can be utilized for manufacturing data management, analysis, and recommendation.

Chae, Junghoon↗

Development of Distributed Microgrid Controllers Using HELICS [SWR-21-94]

Development of Distributed Microgrid Controllers Using HELICS uses HELICS framework develop distributed microgrid controllers (DMCs) for coordinated grid service. Development of Distributed Microgrid Controllers Using HELICS includes thirteen agents, including OpenDSS agent, data manager agent, and eleven DMC agents. Development of Distributed Microgrid Controllers Using HELICS can be used as a standard framework to develop fully distributed control solutions that dispatches simulated DERs in simulation platform.

Wang, Jing↗

MODAQ (Modular Offshore Data Acquisition System) [SWR-24-58]

The National Renewable Energy Laboratory (NREL) has developed a data acquisition system to support laboratory (component) and in-water validation and testing of Marine Renewable Energy (MRE) technologies. The Modular Ocean Data AcQuisition System (MODAQ) is a robust system built on industrial grade hardware that can acquire high-quality and summary data from many sensor and instrument types. MODAQ includes modules to perform real-time QC screening, system health monitoring, and send alerts. MODAQ is also part of a larger data management, processing, visualization, and archiving system.

Raye, Robert↗

MAPSTER

MAPSTER Observer is a light-weight software package that can be installed on field deployed computers which automatically manages data and creates metadata packages designed to organize large datasets, making them easy to retrieve and share.

Larson, MatthewD↗

PNNL-Comp-Mass-Spec/LIQUID

The OMICS group at PNNL has developed a wide range of software utilities over the last 15+ years. These tools are used to manage data files, transform data, visualize data, and automate data processing. The software is distributed on GitHub as open source, typically under the Apache 2.0 license agreement. See https://github.com/PNNL-Comp-Mass-Spec Lipid analysis tool developed by PNNL

Monroe, Matthew↗

Verifiable Fuel Cycle Simulation

The Verifiable Fuel Cycle Simulation (VISION) is a system-dynamics model of the entire nuclear fuel cycle, from mining to disposal, using user-defined deployment scenarios, fuel recipes, and recycling parameters. It is written in the PowerSim simulation environment and utilized MS Excel to manage data inputs and outputs.

Hays, RossD (0000000184587539)↗

sam-web-client

Python client and CLI for SAM data managment system

Illingworth, Robert [Fermilab]↗

An MPI/OpenACC implementation of a high-order electromagnetics solver with GPUDirect communication

We present performance results and an analysis of a message passing interface (MPI)/OpenACC implementation of an electromagnetic solver based on a spectral-element discontinuous Galerkin discretization of the time-dependent Maxwell equations. The OpenACC implementation covers all solution routines, including a highly tuned element-by-element operator evaluation and a GPUDirect gather–scatter kernel to effect nearest neighbor flux exchanges. Modifications are designed to make effective use of vectorization, streaming, and data management. Performance results using up to 16,384 graphics processing units of the Cray XK7 supercomputer Titan show more than 2.5× speedup over central processing unit-only performance on the same number of nodes (262,144 MPI ranks) for problem sizes of up to 6.9 billion grid points. We discuss performance-enhancement strategies and the overall potential of GPU-based computing for this class of problems.

Computer Science↗