RNA-seq analysis workflow (Salmon, RS1) · run 2026-10-20 11:18–11:23 CEST
Workflow Run
where the run's resources went
One bar per workflow stage, longest CPU time first. Hover a row for its values; click a stage to open its page.
power over time
Node power (W)
was the timing green?
Grid carbon intensity
this run among the workflow's runs
Overview
stages of the workflow
run by
- Yagmur Kati Non-Faculty Academic
start time
- October 20, 2026 11:18 AM
end time
- October 20, 2026 11:23 AM
duration (s)
- 303
duration time calculation method
- Slurm ElapsedRaw of the job (start to end). Display timestamps use Europe/Berlin.
run status
- Succeeded
Performance
CPU efficiency (%)
- 64.8
data read (GB)
- 14.925734871040001
data written (GB)
- 8.88555962368
CPU time (s)
- 1962.637
CPU time calculation method
- Slurm TotalCPU of the job (user + system CPU time of all steps); 10 CPUs allocated of 256 node CPUs.
CPU-time method type
task count
- 5
peak memory (GB)
- 7.717859328
GPU usage status
- CPU-only job
memory calculation method
- Peak memory: the largest resident memory (Slurm MaxRSS) of any job step, converted from bytes to gigabytes. No average memory: Slurm does not record memory use over time.
memory method type
Energy And Carbon
energy consumed (kWh)
- 0.003978137341818921
energy measurement coverage
- 9% of the node (shared, estimate)
energy method type
node power average (W)
- 560.7
node power maximum (W)
- 637.0
node sleeping idle power (W)
- 393.0
carbon emission (kg CO2e)
- 0.001257091400014779
carbon intensity (kg CO2e/kWh)
- 0.316
energy metric source
- Slurm acct_gather_energy/ipmi; Prometheus node_exporter and ipmi_exporter on the compute node
energy source type
energy calculation method
- Node energy: Slurm acct_gather_energy/ipmi ConsumedEnergyRaw, 158400 J over the job (303 s, whole node). Job share = job CPU time 1962.6 s / CPU time of all processes on the node in the same interval 21707.7 s (node_exporter node_cpu_seconds_total, all modes except idle and iowait; 31 samples about every 10 s, covering 99% of the job) = 0.0904. Job energy = 158400 J x 0.0904 = 14321 J, converted to kilowatt-hours (1 kWh = 3,600,000 J): 0.003978 kWh. Single node hpc-cms01-002 (HPC@HU), shared with other jobs. Energy is an estimate: the job's CPU-time share of the measured whole-node energy. Idle and other node power is distributed by CPU time; cooling and network are excluded.
carbon calculation method
- Time-matched: the run's energy 0.003978 kWh x the 15-minute carbon intensity of the grid (Electricity Maps, zone DE, lifecycle, flow-traced) in the quarter-hours the run used, weighted by the run's energy in each quarter-hour (split by power readings; 2026-10-20 09:15 UTC 316 g/kWh x 100.0%) = 316.0 g/kWh, so 1.26 g CO2e. Window start and end are Europe/Berlin times. Recalculated on 2026-11-07: replaces the earlier value 1.14 g CO2e (286.0 g/kWh, Electricity Maps).
idle power method
- Node hpc-cms01-002 saves energy when nothing runs: its idle processor cores sleep (low-power states), while the node itself stays on and takes new jobs at once. Sleeping idle power: 393 W, the median IPMI power of the node in the cluster monitoring (Prometheus, a reading every 5 s) over the 30 days up to 2026-10-30, counting only times when nothing had run on the node for at least 30 minutes (load below 0.2, both GPUs below 60 W). No energy above idle is given for this run: the node's cores sleep when idle, and its idle power without sleep is not known. The node is assumed to have had its current power profile also on the day of the run.
Workflow Stages
workflow stages of the run
Reproducibility
code commit
git commit
- c071811dce8878de67148b0825f1e7fa5c96d982
input data
workflow code link
job name
- rs1-salmon (Slurm job 1640749, partition standard, exit code 0:0)
container image
- docker.io/biocontainers/fastp@sha256:36c3841644a023f360c1e33ac2497dc91755d4ace5e2b1162e16304b8f5179d0;
- docker.io/combinelab/salmon@sha256:13b09d8be8722b786fc954809cdc96e8fa6037e1eb8296120a29c936ab18860b;
- docker.io/nfcore/rnaseq@sha256:683625354fdcdefaad1a2710e4ba0517ac5316e47dddd6148aa8d685282a857b;
- docker.io/ninedem/check_strandedness@sha256:1a8e1b00f51f02ad4c7876975d735b9f4ee7c365f1d499eceb3a35fdea8dcdde;
trace types
- Slurm accounting (sacct); node CPU and IPMI power samples; node hardware inventory; node IPMI temperature readings; Nextflow log; Nextflow task trace
trace data format
- TSV and plain text
Execution Environment
CPUs used
- 10 of the node's 256 CPUs (hardware threads), on 5 cores of processor 0: CPUs 30-34,158-162. Two hardware threads of a core share that core, so 10 CPUs here are 5 cores of computing power.
fan speed average (rpm)
- 7859.0
node CPU utilisation average (%)
- 28.0
node conditions method
- Node CPU utilisation: CPU time of all processes on the node (node_exporter, all modes except idle and iowait) / (256 CPUs x sampled time) = 28.0% (71.6 of 256 CPUs busy on average). Node power: IPMI power of the node (ipmi_exporter), 31 readings about every 10 s: average 561 W (over time), lowest 514 W, highest 637 W. CPU efficiency: job CPU time 1963 s / (10 allocated CPUs x 303 s) = 64.8%. CPU frequency: current frequency of the 10 CPUs the job could use (/proc/cpuinfo), 31 readings. At each reading the fastest of these CPUs is taken, because the CPUs that are working run fastest: average 3093 MHz, highest 3202 MHz. Average over all of these CPUs, including idle ones: 2811 MHz. Fan speed: IPMI fan sensors of the node (ipmi_exporter), 6 fans, 31 readings: average 7859 rpm (mean of the fans, over time), highest 8160 rpm. Data read and written: Slurm accounting MaxDiskRead and MaxDiskWrite of the job's 1 step(s): 14.926 GB read, 8.886 GB written. This is all data the job's processes read and wrote, on any file system.
workflow engine
- Nextflow Workflow Engine
language
- Shell Language
execution host
- hpc-cms01-002
node allocatable CPU
- 256
node allocatable memory (GB)
- 1081.494478848
node architecture
- x86_64; 2 x AMD EPYC 7713 64-Core Processor; 256 hardware threads
os image
- openSUSE Leap 16.0
kernel version
- 6.12.0-160000.36-default
compute cluster
- HPC@HU Cluster Compute Cluster
backend
- Slurm Backend