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Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations

Matthieu Dorier, Robert Sisneros, Leonardo Bautista Gomez, Tom Peterka, Leigh Orf, Lokman Rahmani, Gabriel Antoniu, Luc Bouge
2016 2016 IEEE International Conference on Cluster Computing (CLUSTER)  
In this paper, we tackle the challenge of enabling in situ visualization under performance constraints.  ...  While many parallel visualization tools now provide in situ visualization capabilities, the trend has been to feed such tools with large amounts of unprocessed output data and let them render everything  ...  Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DE-AC02-06CH11357. This work is also supported by DOE with agreement No.  ... 
doi:10.1109/cluster.2016.25 dblp:conf/cluster/DorierSBPORAB16 fatcat:u42djbqng5em3eil2zf7oylnp4

A Visual Analytics Framework for Reviewing Streaming Performance Data [article]

Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li, Caitlin Ross, Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, Kwan-Liu Ma
2020 arXiv   pre-print
Finally, the interactive visualization module provides the analysts with a coherent view of the changes and patterns in the continuously captured performance data.  ...  Understanding and tuning the performance of extreme-scale parallel computing systems demands a streaming approach due to the computational cost of applying offline algorithms to vast amounts of performance  ...  Department of Energy through grant de-sc0014917.  ... 
arXiv:2001.09399v1 fatcat:ohk6jbu5gvd6hhz4l27psxbcse

Learning visual similarity for product design with convolutional neural networks

Sean Bell, Kavita Bala
2015 ACM Transactions on Graphics  
We evaluate our search quantitatively and qualitatively and demonstrate high quality results for search across multiple visual domains, enabling new applications in interior design.  ...  Query 2: we apply the same method to search for in-situ examples of a product in designer photographs.  ...  and Technology Center for Visual Computing.  ... 
doi:10.1145/2766959 fatcat:2wiftcztdfa4rlhbwxeclyni3a

In-situ processing and visualization for ultrascale simulations

Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Anna Tikhonova
2007 Journal of Physics, Conference Series  
In this paper, we discuss different approaches to in-situ processing and visualization as well as the results of our preliminary study using large-scale simulation codes on massively parallel supercomputers  ...  We conjecture that the most plausible solution for the peta-and exa-scale data problem is to reduce or transform the data in-situ as it is being generated, so the amount of data that must be transferred  ...  You are all critical in our understanding of the needs of the community and provide invaluable feedback during the research and development process.  ... 
doi:10.1088/1742-6596/78/1/012043 fatcat:ryq7fechibdxhe3yrmai4xzeu4

Ranking Viscous Finger Simulations to an Acquired Ground Truth with Topology-Aware Matchings

Maxime Soler, Martin Petitfrere, Gilles Darche, Melanie Plainchault, Bruno Conche, Julien Tierny
2019 2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)  
We document an in-situ implementation to lighten I/O and performance constraints arising in the context of parametric studies. 2.  ...  Evaluation: the metrics and ranking framework are qualitatively evaluated with feedback from domain experts.  ...  the framework of the LIP6 -Total SA CIFRE partnership reference 2016/0010 and by the European Commission grant H2020-FETHPC VESTEC (ref. 800904).  ... 
doi:10.1109/ldav48142.2019.8944365 dblp:conf/ldav/SolerPDPCT19 fatcat:f3m2asgupzhrjknohjfgnjvhuq

SIM-SITU : A Framework for the Faithful Simulation of in situ Processing

Valentin Honoré, Tu Mai Ahn Do, Loïc Pottier, Rafael Ferreira Da Silva, Ewa Deelman, Frédéric Suter
2022 Zenodo  
The amount of data generated by numerical simulations in various scientific domains led to a fundamental redesign of how the analysis and visualization of simulation outputs are performed.  ...  In both cases, the validity of the performance evaluation is limited. In this talk, we present Sim-Situ, a framework for the faithful performance evaluation of in situ processing strategies.  ...  Sim-Situ in Practice RQ1 RQ2 RQ3 ▷ Answer RQs ○ Take good decisions Sim-Situ Architecture → Performance evaluation → Objective performance indicators ▷ Add customizable in-situ processing to an MPI application  ... 
doi:10.5281/zenodo.7119257 fatcat:vckdru5ayfhujaxvhfniw6lya4

VisualFacts: A Platform for In-Situ Visual Exploration and Real-Time Entity Resolution

George Papastefanatos, Giorgos Alexiou, Nikos Bikakis, Stavros Maroulis, Vassilis Stamatopoulos
2022 International Conference on Extending Database Technology  
VisualFacts combines in-situ visualization with real-time entity resolution capabilities to address scenarios where users wish to visual explore and efficiently perform analytic operations directly on  ...  raw data files, which are aggregated from multiple overlapping data sources.  ...  In this work, we focus on in-situ visual analysis of data that is collected and aggregated from multiple sources (e.g., scholarly data, POIs, etc) and thus they contain dirty/duplicate entities, i.e.,  ... 
dblp:conf/edbt/PapastefanatosA22 fatcat:k5ldw6slqnerxmz6y6zso2bsoq

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model [article]

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs
2020 arXiv   pre-print
Most significantly, this study establishes the viability of approaching in situ Lagrangian flow map extraction using communication-free models in the future.  ...  We introduce and evaluate a new algorithm for the in situ extraction of Lagrangian flow maps, which we call Boundary Termination Optimization (BTO).  ...  Department of Energy Office of Science and the National Nuclear Security Administration.  ... 
arXiv:2004.02003v1 fatcat:qykhrwt2kncepkqvwien2vthne

Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization

Burlen Loring, Mathew Wolf, James Kress, Sergei Shudler, Junmin Gu, Silvio Rizzi, Jeremy Logan, Nicola Ferrier, E. Wes Bethel
2020 Eurographics Symposium on Parallel Graphics and Visualization  
By leveraging design characteristics, which facilitate an "intelligent" mapping from M-to-N, we observe significant performance gains are possible in terms of several different metrics, including time-to-solution  ...  In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a different  ...  Simulators need access to a diverse set of in situ and I/O libraries, ranging from high performance visualization to machine learning to high performance I/O and data movement.  ... 
doi:10.2312/pgv.20201073 dblp:conf/egpgv/LoringWKSGRLFB20 fatcat:bs4towyd7zcgxdxfmvo66woh4u

Multi-Purpose Exploration of Uncertain Data for the Video Monitoring of Ecosystems [article]

Emma Beauxis-Aussalet, Lynda Hardman
2015 Workshop on Visualisation in Environmental Sciences (EnvirVis)  
Computer Vision is a promising technique for in-situ monitoring of ecosystems. It is non-intrusive and costeffective compared to sending human observers.  ...  We propose an interactive visualization system for exploring the video data.  ...  Visualization and Interaction Principles To reduce the complexity of exploring the multiple dimensions and measurements, we use simple graphs in multiple views.  ... 
doi:10.2312/envirvis.20151084 dblp:conf/vissym/Beauxis-Aussalet15 fatcat:wros65ifbfh27pmroa7v7sg2si

Unsupervised Learning Based on Multiple Descriptors for WSIs Diagnosis

Taimoor Shakeel Sheikh, Jee-Yeon Kim, Jaesool Shim, Migyung Cho
2022 Diagnostics  
Furthermore, we found that the proposed model classifies the types of breast and lung cancer similar to the viewpoint of pathologists by visualization.  ...  Our model does not rely on a specific set of pre-trained features based on classifiers to achieve high performance.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/diagnostics12061480 pmid:35741289 pmcid:PMC9222016 fatcat:iqrvtuzszbcazk5ou3b5bf7hdy

Chances and Challenges of Using Assistive Systems in Education

Thomas Kosch, Pascal Knierim, Paweł Woźniak, Albrecht Schmidt
2017 Mensch & Computer  
Creating adaptive content for educating individuals efficiently has become a major challenge within the design and development of computer-supported learning systems in schools, universities, and vocational  ...  Knowledge transfer in educational establishments has experienced a shift from printed media to digitized assistance.  ...  Acknowledgments This work was supported by the German Federal Ministry of Education and Research as part of the project Be-greifen (grant no. 16SV7527) and KoBeLU (grant no. 16SV7599K).  ... 
doi:10.18420/muc2017-ws08-0343 dblp:conf/mc/KoschKW017 fatcat:t3drv3u56vfknmjr77pv4yrxkm

WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows

Xuechen Zhang, Hasan Abbasi, Kevin Huck, Allen D. Malony
2016 Procedia Computer Science  
, such as the policy of process mapping and in-situ buffer size.  ...  To reduce profiling overhead, WOW-MON uses adaptive selection of performance metrics based on machine learning algorithms to guide profilers collecting only metrics that have most impact on performance  ...  This research was partially supported by DOE grant DE-SC0012381 funded by the Scientific Data Management, Analysis and Visualization (SDMAV) program and WSU Seed Grant.  ... 
doi:10.1016/j.procs.2016.05.474 fatcat:jr7uyavgcfelncbfwnkz5n66ma

The Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective [article]

Arun Baskaran and Elizabeth J. Kautz and Aritra Chowdhary and Wufei Ma and Bulent Yener and Daniel J. Lewis
2021 arXiv   pre-print
segmentation model on electron microscopy images, the prevalence of transfer learning in the domain, etc.  ...  In this work, we review the application of IDML to the field of materials characterization.  ...  For example, three dimensional microstructures can be visualized with techniques such as serial sectioning and atom probe tomography [1, 2] , and in situ methods have been developed for direct visualization  ... 
arXiv:2105.09729v1 fatcat:vlmq3cm2fnhflomfl6j6oupnse

Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges [article]

Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
2021 arXiv   pre-print
We explore the challenges of in-situ workflows and provide suggestions for improving the performance of their execution using ML techniques.  ...  Moreover, we discuss the possibility of using ML techniques for in-situ operations.  ...  Analyzing domain-specific data may require investigating multiple files and, in the case of simulation results, thousands of raw data files.  ... 
arXiv:2110.13999v1 fatcat:va7e4uacafh5noqqywbk7svxzy
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