cluster:65
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| + | \\ | ||
| + | **[[cluster: | ||
| + | |||
| + | ===== Milestone! ===== | ||
| + | |||
| + | June 3rd 2008, shortly before 1 pm, the job with JOBID 100,000 was completed. | ||
| + | |||
| + | ^JOBID^USER^STAT^QUEUE^FROM_HOST^EXEC_HOST^JOB_NAME^SUBMIT_TIME^ | ||
| + | |100000|ztan|DONE|imw|swallowtail|compute-1-23|ising-spring-2008-swt/ | ||
| + | |||
| + | ===== Cluster Usage ===== | ||
| + | |||
| + | Below are some graphs covering the time period 7/ | ||
| + | |||
| + | * Pending Jobs | ||
| + | |||
| + | {{: | ||
| + | |||
| + | * Running Jobs | ||
| + | |||
| + | {{: | ||
| + | |||
| + | The maximum running jobs is 288 (total cores/job slots). | ||
| + | |||
| + | ===== Fourier ===== | ||
| + | |||
| + | Francis report ... mathematically, | ||
| + | |||
| + | F(w) = Integral ( f(t) exp(i*w*t) dt) | ||
| + | |||
| + | That is, you integrate a function (or data) with a complex exponential, | ||
| + | |||
| + | Practically speaking, suppose f(t) was something like position as a function of time. Fourier transforming will reveal if there are characteristic frequencies of the data. For example, if the f(t) was the position of the pendulum in a clock over time, the Fourier transform would show a huge spike at the frequency of the motion, 1 Hz. | ||
| + | |||
| + | So Tom is wondering if there are some characteristic frequencies hiding in this usage pattern ... here is the result: | ||
| + | |||
| + | {{: | ||
| + | |||
| + | ===== Mean ===== | ||
| + | |||
| + | This is the MEAN number of jobs running/ | ||
| + | |||
| + | {{: | ||
| + | |||
| + | |||
| + | |||
| + | ===== Other Stats ===== | ||
| + | |||
| + | These graphs reflect data that is polled daily. | ||
| + | |||
| + | Below is the graph for the total number of jobs processed. | ||
| + | |||
| + | {{: | ||
| + | |||
| + | |||
| + | {{: | ||
| + | |||
| + | {{: | ||
| + | |||
| + | |||
| + | |||
| + | \\ | ||
| + | **[[cluster: | ||
| + | |||
cluster/65.txt ยท Last modified: 2008/06/03 13:27 (external edit)
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