Jülich Supercomputing Centre (JSC)

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51 to 60 of 90 Results

plot_cdf_gpu_power.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 2.8 KB - SHA-256: 14d4f617e66881731e49ef5c499cc792737e09639ab910f628ae9ff63f75b3c7
plot_cdf_gpu.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 6.6 KB - SHA-256: aed9a3390c229aa4db56a6c25feaf0381e640c8de6a737b9dc03bb6e88d3eb71
plot_cdf_IC.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 7.6 KB - SHA-256: d1bdd645dcae8b3b6bdd5f8fce1bffc68f44811e2d3b241e6ae104683e8e4896
plot_cdf_mem.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 7.2 KB - SHA-256: 73fd7f86d87c2f191a47ac43f12357436c36303724df042e89b4ddce2ee573f4
plot_cdf_sizes.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 6.1 KB - SHA-256: 829a57774a5d185deb6187b7c2cc49f7ad4e970c85c885f8794d30843bb9981f
plot_mem_intensity.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 5.4 KB - SHA-256: 915c7840f3ae45b47ffeae28598cba82fe8e9af11e4f83bd7fcb2d1ab16796eb
README.md Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Markdown Text - 2.6 KB - SHA-256: 2117ce0874c6f349dabe22dd723fba1fa5e224a7fea78e097b6dcdefd92929dc
Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Jun 18, 2024 - Visualization Baker, Dirk; Zielasko, Daniel, 2024, "Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction", https://doi.org/10.26165/JUELICH-DATA/B9SBOS, Jülich DATA, V1 VRoot Study Data This data has been collected during our user study analysing VRoot, an application for immersive root system architecture reconstruction. The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Tr...
noisy_111x111x100.raw Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Bitmap Image - 1.2 MB - SHA-256: 06c45083f6d841a01ec6b0baccd29ef4d775a35691aa12da6d5d4bc019ab3ea8 Spacing 0.5 0.5 1
objective.csv Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Comma Separated Values - 9.1 KB - SHA-256: 67afa7d2a6ddcc8cf7b684ce62992bc018d0f8a2aebc99073f1f88fbac3b94cc

plot_cdf_gpu_power.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 2.8 KB - SHA-256: 14d4f617e66881731e49ef5c499cc792737e09639ab910f628ae9ff63f75b3c7

plot_cdf_gpu.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 6.6 KB - SHA-256: aed9a3390c229aa4db56a6c25feaf0381e640c8de6a737b9dc03bb6e88d3eb71

plot_cdf_IC.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 7.6 KB - SHA-256: d1bdd645dcae8b3b6bdd5f8fce1bffc68f44811e2d3b241e6ae104683e8e4896

plot_cdf_mem.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 7.2 KB - SHA-256: 73fd7f86d87c2f191a47ac43f12357436c36303724df042e89b4ddce2ee573f4

plot_cdf_sizes.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 6.1 KB - SHA-256: 829a57774a5d185deb6187b7c2cc49f7ad4e970c85c885f8794d30843bb9981f

plot_mem_intensity.py

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Python Source Code - 5.4 KB - SHA-256: 915c7840f3ae45b47ffeae28598cba82fe8e9af11e4f83bd7fcb2d1ab16796eb

README.md

Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization

Markdown Text - 2.6 KB - SHA-256: 2117ce0874c6f349dabe22dd723fba1fa5e224a7fea78e097b6dcdefd92929dc

Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Jun 18, 2024 - Visualization

Baker, Dirk; Zielasko, Daniel, 2024, "Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction", https://doi.org/10.26165/JUELICH-DATA/B9SBOS, Jülich DATA, V1

VRoot Study Data This data has been collected during our user study analysing VRoot, an application for immersive root system architecture reconstruction. The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Tr...

noisy_111x111x100.raw

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Bitmap Image - 1.2 MB - SHA-256: 06c45083f6d841a01ec6b0baccd29ef4d775a35691aa12da6d5d4bc019ab3ea8

Spacing 0.5 0.5 1

objective.csv

Jun 18, 2024 - Study Data to VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction

Comma Separated Values - 9.1 KB - SHA-256: 67afa7d2a6ddcc8cf7b684ce62992bc018d0f8a2aebc99073f1f88fbac3b94cc

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