A5084211201- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Multimedia Communication and Technology
- Business Process Modeling and Analysis
- Simulation Techniques and Applications
- Computational Physics and Python Applications
- Hydrology and Watershed Management Studies
- Computer Graphics and Visualization Techniques
- Service-Oriented Architecture and Web Services
- Nuclear reactor physics and engineering
- Peer-to-Peer Network Technologies
- Advanced X-ray Imaging Techniques
- Groundwater flow and contamination studies
- Flood Risk Assessment and Management
- Environmental Monitoring and Data Management
- Semantic Web and Ontologies
- Soil and Unsaturated Flow
- Digital Mental Health Interventions
- Hydrological Forecasting Using AI
- Advanced Vision and Imaging
- Stalking, Cyberstalking, and Harassment
- Data Visualization and Analytics
- Transactional Analysis in Psychotherapy
- Image Retrieval and Classification Techniques
Kitware (United States)
2011-2025
Laboratoire Lorrain de Recherche en Informatique et ses Applications
2003
Institut national de recherche en informatique et en automatique
2003
Extreme scale scientific simulations are leading a charge to exascale computation, and data analytics runs the risk of being bottleneck discovery. Due power I/O constraints, we expect in situ visualization analysis will be critical component these workflows. Options for extreme often presented as stark contrast: write large files disk interactive, exploratory analysis, or perform save detailed about phenomena that scientists knows advance. We present novel framework third option - highly...
One of the most pressing issues with petascale analysis is transport simulation results data to a meaningful analysis. Traditional workflow prescribes storing disk and later retrieving them for visualization. However, at this storage full prohibitive. A solution problem run visualization concurrently bypass results. mechanism doing so in transit which on I/O nodes that receive but write information from or provide run-time This paper describes work progress three solutions, each using...
In the context of cooperative work a team alternates divergence phases where each member works in insulation on copies objects and convergence during which group reconciles validates data. To support this style working, we propose concept SAMS environment. A environment allows members to synchronous, asynchronous or multi-synchronous mode while ensuring coherence shared
Hydrologists and water managers increasingly face challenges associated with extreme climatic events. At the same time, historic datasets for modeling contemporary future hydrologic conditions are inadequate. Machine learning is one promising technological tool navigating of understanding managing hydrological systems. However, in addition to technical effectively leveraging ML subsurface processes, practitioner skepticism hesitancy surrounding presents a significant barrier adoption...
In the recent years, scientific community has been focusing on management and dissemination of datasets. Challenged by rapid growth in number size data supported new governmental policies, sharing become a necessary step discovery. parallel, publishing companies have shifted their business to provide not only publications but also associated datasets readers. fact, industry investigating ways disseminate more importantly, present this readers meaningful manner. paper, we combination two...
Advances in detectors and computational technologies provide new opportunities for applied research the fundamental sciences. Concurrently, dramatic increases three V's (Volume, Velocity, Variety) of experimental data scale tasks produced demand real-time processing systems at facilities. Recently, this was addressed by Spark-MPI approach connecting Spark data-intensive platform with MPI high-performance framework. In contrast existing management analytics systems, introduced a middleware...
In scientific visualization data are becoming more and complex implies cooperative effort for their post-processing analysis as well high performance processing resources. Moreover experts frequently geographically distributed existing tools do not provide capability with collaborative features. To solve this limitation, a prospective action has been recently initiated in the frame of ANR SCOS project, development web based framework called V3D. SCOS/V3D is on two innovating concepts:...
Advanced modeling and simulation has enabled the design of a variety innovative products analysis numerous complex phenomenon. However, significant barriers exist to widespread adoption these tools. In particular, advanced simulation: (1) is considered use, (2) needs in-house expertise, (3) requires high capital costs. this paper, we describe development an end-to-end, cloud platform that encapsulates best practices for scientific computing in cloud, demonstrate using Hydra-TH as...
Nowadays, 3D visualization is part of our everyday lives and remains an important tool for understanding complex structures, dynamic simulations, research discoveries. In the meantime, complexity often requires specific hardware, including clusters, as well dedicated software tools. Several efforts, such WebGL remote visualization, have been pushing to web browser. However, technical limitations constrained adoption browsers a means rendering datasets. To surpass these limitations,...
Recent progress in computer vision has been fueled by advances artificial intelligence (AI) using techniques such as deep learning. However, models are often sensitive to distribution shifts, those naturally occurring real operational data, which can degrade performance and cause unforeseen failure modes. As such, it is critical perform comprehensive test evaluation of these across a wide range natural effects order assure their downstream use deployment. difficult, impractical or simply...
Summarization and compression at current future scales requires a framework for developing benchmarking algorithms. We present created by integrating existing, production-ready projects provide timings of two particular algorithms that serve as exemplars summarization: wavelet-based data reduction filter generator creating image-like databases extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization the summary decision-making. A study...
Advances in detectors and computational technologies provide new opportunities for applied research the fundamental sciences. Concurrently, dramatic increases three Vs (Volume, Velocity, Variety) of experimental data scale tasks produced demand real-time processing systems at facilities. Recently, this was addressed by Spark-MPI approach connecting Spark data-intensive platform with MPI high-performance framework. In contrast existing management analytics systems, introduced a middleware...
Physical aquifer models are a highly effective teaching tool for hydrology education, however they come with inherent limitations that include the high cost to purchase, static configuration of model materials, time required visualize hydrogeological phenomena, and effort reset clean them over time. To address these other limitations, we have developed an interactive computer simulation physical called ParFlow Sandtank. In this gamified interface, users run using familiar web-app like...
The ParFlow Sand Tank model is an open source application designed to allow users interactively simulate and visualize groundwater movement through the subsurface.The app for both research education; teaching hydrogeology concepts making it easy explore run sophisticated simulations.Our goal support increased accessibility usability of grade hydrology tools teaching.