Intel processors provide a useful set of performance counters for doing topdown analysis, particularly at the first topdown level. This first level asks questions in the following hierarchy: Is a Uop dispatched? If yes, is it retired? If yes –> … Continue reading →
On the upper left of the web site is now an item labeled “phoronix”. Clicking there returns a table with a long list of Phoronix benchmarks. For each I’ve recorded the description, scores when running on my Intel reference system, … Continue reading →
I have updated the topdown wrapper script to add some additional cache statistics for level 3 backend related information. I have also added a -x option to display some rusage information.
Continue reading →The Intel topdown performance analysis method separates out frontend stalls (level 1) into latency (level 2) and bandwidth (level 2). A frontend latency stall is when 0 uops are issued at all because the frontend is waiting. A frontend bandwidth … Continue reading →
I have added a basic tool “topdown” that is a wrapper to collect topdown metrics.
Continue reading →As a followup to this post, I’ve implemented per-process capture of backend counters. I can now create a memory report from a process tree.
Continue reading →As a followup to a previous post, I’ve added support to wspy for topdown analysis for backend stalls.
Continue reading →As described in top down performance counter analysis part 1, top down analysis is an approach that uses key performance counters to characterize an application and then successively drills down with further refinement. On Intel x86 processors, this first level … Continue reading →
As described in top down performance counter analysis part 1, top down analysis is an approach that uses key performance counters to characterize an application and then successively drills down with further refinement. On Intel x86 processors, this first level … Continue reading →
In this posting I summarize top-down performance counter analysis to evaluate workloads and show how this can be measured on Haswell using likwid-perfctr and perf. In part 2 to follow, I’ll describe how top down metrics have been added to … Continue reading →