Measurement Cluster Our Measurement Cluster# Our Measurement Cluster runs on NOP Linux and is the driver behind our Hosted Service .
We have the following machines available for running measurements in our cluster:
CO2 Profiling (DVFS ON, TB ON, HT ON) - Esprimo P956 Use Case: For profiling of a software to get a value for an off-the-shelf Ubuntu system with default configuration Vendor: Fujitsu ESPRIMO P956 OS: Ubuntu 22.04 (NOP Linux ) Type: Single-Tenant Server Special: Blue Angel compatible CPU: Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz Cores: 4 Threads: 4 Hyper-Threading: N/A Turbo Boost: Off DVFS: On C-States: All Memory: 16 GB Metrics Provider for Machine Power: MCP39F511N CO2 Benchmarking (DVFS OFF, TB OFF, HT OFF) - TX1330 M2 Use Case: For benchmarking of a software where configuration is tuned for reproducability Vendor: Fujitsu TX1330 M2 OS: Ubuntu 24.04 (NOP Linux ) Type: Single-Tenant Server CPU: Intel(R) Xeon(R) CPU E3-1240L v5 @ 2.10GHz Cores: 4 Threads: 4 Hyper-Threading: Off Turbo Boost: Off DVFS: Off (Fixed to 2.1 GHz) C-States: C0 only Memory: 8 GB Sample measurement with machine specs Metrics Provider for Machine Power: MCP39F511N Micro Benchmarking (DVFS OFF, TB OFF, HT OFF) - TX1330 M2 Use Case: For micro benchmarking of a software where configuration is tuned for reproducability. Reporters are set to 1ms sampling_rate and limited to RAPL CPU / Memory Vendor: Fujitsu TX1330 M2 Ubuntu 22.04 (NOP Linux ) Type: Single-Tenant Server CPU: Intel(R) Xeon(R) CPU E3-1240L v5 @ 2.10GHz Cores: 4 Threads: 4 Hyper-Threading: Off Turbo Boost: Off DVFS: Off (Fixed to 2.1 GHz) C-States: C0 only Memory: 8 GB Sample measurement with machine specs Metrics Provider for Machine Power: None GUI/Desktop Applications (DVFS ON, TB ON, HT OFF) - TX1330 M3 Use Case: For profiling of a GUI / Desktop software that uses X11 or Wayland window management systems Vendor: Fujitsu TX1330 M3 OS: Ubuntu 24.04 (default) Type: Single-Tenant Server CPU: Intel(R) Xeon(R) CPU E3-1220 v6 @ 3.00GHz Cores: 4 Threads: 4 Hyper-Threading: N/A Turbo Boost: On DVFS: Off (Fixed to 2.1 GHz) C-States: C0 only Memory: 16 GB Metrics Provider for Machine Power: MCP39F511N / IPMI ML/AI Profiling (DVFS ON, TB ON, HT OFF) - GTX-1080 - [PREMIUM] Use Case: For GPU measurements and AI training measurements OS: Ubuntu 22.04 (NOP Linux ) Type: Desktop-PC CPU: Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz Cores: 6 Threads: 6 Hyper-Threading: N/A Turbo Boost: On Memory: 32 GB Graphics: GeForce GTX 1080Installed CUDA version: 12.2 NVIDIA kernel driver version 535.230.02 Metrics Provider for Machine Power: MCP39F511N & IPMI Old Machines# Palit GPU - (Phased out Early 2025) Use Case: For GPU measurements and AI training measurements OS: Ubuntu 22.04 (NOP Linux ) Type: Desktop-PC CPU: Intel(R) Core(TM) i7 CPU 870 @ 2.93GHz Cores: 4 Threads: 8 Hyper-Threading: On Turbo Boost: On Memory: 12 GB Graphics: Palit GF110 (GeForce GTX 570)Installed CUDA version: 12 NVIDIA kernel driver version 390 Metrics Provider for Machine Power: MCP39F511N & IPMI Quanta Leopard-DDR3 - (Phased out Early 2025) Use Case: Heavy parallelized workloads / HPC Type: 48-Thread Multi-Tenant Server OS: Ubuntu 22.04 (default) Special: SoftAWERE compatible CPU: Intel(R) Xeon(R) CPU E5-2678 v3 @ 2.50GHz (2x) Cores: 24 Threads: 48 Hyper-Threading: On Turbo Boost: Off Memory: 32 GB Sample measurement with machine specs Metrics Provider for Machine Power: IPMI Setting up your own measurement cluster# Please refer to the page Installation of a Cluster