Original Research
Published on 24 Jun 2021
Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.626998
- 3,124 views
- 2 citations
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24 articles
Articles
Original Research
Published on 07 Jun 2021
CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.659986
- 3,209 views
- 1 citation
Original Research
Published on 11 May 2021
Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.673163
- 2,855 views
- 2 citations
Original Research
Published on 07 May 2021
Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.661501
- 3,640 views
- 3 citations
Original Research
Published on 14 Jan 2021
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2020.604083
- 7,376 views
- 21 citations
Original Research
Published on 12 Jan 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2020.598927
- 9,586 views
- 47 citations
Original Research
Published on 21 Dec 2020
Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2020.601728
- 5,073 views
- 26 citations
Original Research
Published on 27 Nov 2020
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2020.591315
- 5,987 views
- 18 citations