diff --git a/doc.zih.tu-dresden.de/docs/software/energy_measurement.md b/doc.zih.tu-dresden.de/docs/software/energy_measurement.md index 36c0abc661d10a828384c35155fe6a5c6074a301..3c0e5b2f61634f086c485a0c0defff5cbc0cd43e 100644 --- a/doc.zih.tu-dresden.de/docs/software/energy_measurement.md +++ b/doc.zih.tu-dresden.de/docs/software/energy_measurement.md @@ -8,11 +8,11 @@ available through several different interfaces, which are described below. | Interface | Sensors | Rate | |:-------------------------------------------|:----------------|:--------------------------------| -| Dataheap (C, Python, VampirTrace, Score-P) | Blade, (CPU) | 1 Sa/s | -| HDEEM\* (C, Score-P) | Blade, CPU, DDR | 1 kSa/s (Blade), 100 Sa/s (VRs) | -| HDEEM Command Line Interface | Blade, CPU, DDR | 1 kSa/s (Blade), 100 Sa/s (VR) | -| Slurm Accounting (`sacct`) | Blade | Per Job Energy | -| Slurm Profiling (HDF5) | Blade | Up to 1 Sa/s | +| Dataheap (C, Python, VampirTrace, Score-P) | Blade, (CPU) | 1 sample/s | +| HDEEM\* (C, Score-P) | Blade, CPU, DDR | 1000 samples/s (Blade), 100 samples/s (VRs) | +| HDEEM Command Line Interface | Blade, CPU, DDR | 1000 samples/s (Blade), 100 samples/s (VR) | +| Slurm Accounting (`sacct`) | Blade | Per Job Energy | +| Slurm Profiling (HDF5) | Blade | Up to 1 sample/s | !!! note @@ -24,15 +24,15 @@ available through several different interfaces, which are described below. In addition to the above mentioned interfaces, you can access the measurements through a [C API](#using-the-hdeem-c-api) to get the full temporal and spatial resolution: -- ** Blade:**1 kSa/s for the whole node, includes both sockets, DRAM, +- ** Blade:** 1000 samples/s for the whole node, includes both sockets, DRAM, SSD, and other on-board consumers. Since the system is directly water cooled, no cooling components are included in the blade consumption. -- **Voltage regulators (VR):** 100 Sa/s for each of the six VR +- **Voltage regulators (VR):** 100 samples/s for each of the six VR measurement points, one for each socket and four for eight DRAM lanes (two lanes bundled). -The GPU blades also have 1 Sa/s power instrumentation but have a lower accuracy. +The GPU blades also have 1 sample/s power instrumentation but have a lower accuracy. HDEEM measurements have an accuracy of 2 % for Blade (node) measurements, and 5 % for voltage regulator (CPU, DDR) measurements. @@ -44,7 +44,7 @@ loading the `hdeem` module. They are commonly used on the node under test to sta query the measurement device. - `startHdeem`: Start a measurement. After the command succeeds, the - measurement data with the 1000 / 100 Sa/s described above will be + measurement data with the 1000 / 100 samples/s described above will be recorded on the Board Management Controller (BMC), which is capable of storing up to 8h of measurement data. - `stopHdeem`: Stop a measurement. No further data is recorded and @@ -64,13 +64,13 @@ provided metric plugins for Score-P (and VampirTrace). The plugins are provided all necessary environment variables that are required to record data for all nodes that are part of the current job. -For 1 Sa/s Blade values (Dataheap): +For 1 sample/s Blade values (Dataheap): - [Score-P](scorep.md): use the module `scorep-dataheap` - [VampirTrace](../archive/vampirtrace.md): use the module `vampirtrace-plugins/power-1.1` (**Remark:** VampirTrace is outdated!) -For 1000 Sa/s (Blade) and 100 Sa/s (CPU{0,1}, DDR{AB,CD,EF,GH}): +For 1000 samples/s (Blade) and 100 samples/s (CPU{0,1}, DDR{AB,CD,EF,GH}): - [Score-P](scorep.md): use the module `scorep-hdeem`. This module requires a recent version of `scorep/sync-...`. Please use diff --git a/doc.zih.tu-dresden.de/wordlist.aspell b/doc.zih.tu-dresden.de/wordlist.aspell index be4cbd09f143dafb9d56a773796e5d0d96863972..8a5013fe00988ccdc5b1500520d4151b71af6527 100644 --- a/doc.zih.tu-dresden.de/wordlist.aspell +++ b/doc.zih.tu-dresden.de/wordlist.aspell @@ -1,4 +1,4 @@ -personal_ws-1.1 en 427 +personal_ws-1.1 en 429 Abaqus Addon Addons @@ -119,6 +119,7 @@ GPUs gres GROMACS GUIs +Hackenberg hadoop haswell HBM @@ -409,6 +410,7 @@ VMs VMSize VNC VPN +VRs WebVNC WinSCP WML