Commit 589c7433 authored by Frank Winkler's avatar Frank Winkler
Browse files

Some extensions.

parent ca33c274
# Performance Analysis of HPC Applications with Pika
Pika is a hardware performance monitoring stack to identify inefficient HPC jobs. Taurus users have the possibility to visualize and analyze the efficiency of their jobs via the [Pika web interface](https://selfservice.zih.tu-dresden.de/l/index.php/hpcportal/jobmonitoring/zih/jobs).
Pika is a hardware performance monitoring stack to identify inefficient HPC jobs. Taurus users have the possibility to visualize and analyze the efficiency of their jobs via the [Pika web interface](https://selfservice.zih.tu-dresden.de/l/index.php/hpcportal/jobmonitoring/zih/jobs).
**Hint:** To understand this small guide, it is recommended to open the [web interface](https://selfservice.zih.tu-dresden.de/l/index.php/hpcportal/jobmonitoring/zih/jobs) in a separate window. Furthermore, at least one real HPC job should have been submitted on Taurus.
- [Overview](#overview)
- [Table View and Job Search](#table-view-and-job-search)
......@@ -37,7 +39,7 @@ Pika provides the following runtime metrics:
|CPU Power|CPU socket|
|Main Memory Utilization|node|
|IO Bandwidth (local, Lustre) |node|
|IO Bandwidth (local, Lustre) |node|
|IO Metadata (local, Lustre) |node|
|GPU Usage|GPU device|
|GPU Memory Utilization|GPU device|
|GPU Power Consumption|GPU device|
......@@ -88,5 +90,4 @@ If users wish to perform their own measurement of performance counters using per
The Pika metric FLOPS is not supported by the Intel Haswell cpu architecture.
However, Pika provides this metric to show the computational intensity.
**Do not rely on FLOPS on Haswell!**
We use the event `AVX_INSTS_CALC` which counts the `insertf128` instruction often used
by the Intel C compilers for (unaligned) vector loads.
We use the event `AVX_INSTS_CALC` which counts the `insertf128` instruction.
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