Institute for Advanced Simulation (IAS) – Jülich Supercomputing Centre (JSC)

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11 to 20 of 40 Results

paper.pdf Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Adobe PDF - 559.4 KB - SHA-256: 5862d809a4256fb8056e86cff871cb46bf3b293d5584c91780a750211f7fe36e
plot_cdf_cpu.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 6.7 KB - SHA-256: 59e1b71bb492d72f2c9a1a767d8963e44e6c1992e5c43c174f3f2f09e13e12c8
plot_cdf_durations.py Nov 29, 2024 - Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization Python Source Code - 6.4 KB - SHA-256: da075e8aea6cdf2408eac3ace2bb383c88b2684328f65209aa0270e142cddb69
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

paper.pdf

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

Adobe PDF - 559.4 KB - SHA-256: 5862d809a4256fb8056e86cff871cb46bf3b293d5584c91780a750211f7fe36e

plot_cdf_cpu.py

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

Python Source Code - 6.7 KB - SHA-256: 59e1b71bb492d72f2c9a1a767d8963e44e6c1992e5c43c174f3f2f09e13e12c8

plot_cdf_durations.py

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

Python Source Code - 6.4 KB - SHA-256: da075e8aea6cdf2408eac3ace2bb383c88b2684328f65209aa0270e142cddb69

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

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