Once a project has been profiled in instrumentation mode and the various portable and platform events from the CPU counters menu have been selected where should they be visible?
In the profile report all the basic performance data is visible (cpu time, calls, etc...) however but not the selected CPU counters.
They are not present in the Marks section either. There are only Windows counters, regardless of whether they were enabled or selected.
The CPU counters appear in the Functions view of the profiling report. In order for them to be collected you must run Visual Studio as administrator. There is a warning in the output window if you do not do this.
Related
I had noted a new tab 'Captures' on the left side of the Android Studio 2.3.3.
For me it is seem to be empty.
What is Captures meant for?
Please refer the documentation explaining on Captures in Android Studio.
When you're monitoring memory usage in the Memory Monitor included in Android Monitor you can, at the same time, dump a snapshot of the Java heap to an Android-specific Heap/CPU Profiling (HPROF) file. The HPROF Viewer displays classes, instances of each class, and a reference tree to help you track memory usage and find memory leaks. HPROF is a binary heap dump format originally supported by J2SE.
After you do a heap dump, Android Studio automatically stores it so you can view it again. "Captures" is where you see these saved HPROF dumps.
You can also see captured view layout etc there as well.
There isn't an answer to this in the built-in help. However, according to the release notes from 2015, it is a "view which shows the various performance data files you've collected".
You can learn more about Captures in the documentation about HPROF.
I'm running AS 1.2.2. on OSX 10.10.3 The CPU usage swings wildly up and down. Trying to edit anything is a real pain - deleting characters, typing, type-checking - all are slow because Studio is consuming a huge amount of resources. I can press a key and must wait sometimes 5 seconds before it updates on the screen
Anyone else has this problem and figure out how to make Android Studio usable again.
I implemented big program to find nearest neighbor using kd-Tree. But when I test it, used memory is bigger and bigger. I tried this advice, bud still not working. (No data collected when profiling .NET class library with Visual Studio 2012)
output of profiler:
Profiling started.
Warning VSP2355: Some Windows counters will not be collected. Without this data, some performance rules may not fire.
Profiling process ID 10112 (KdTreeNN).
Process ID 10112 has exited.
Data written to C:\<path>\KdTreeNN\KdTreeNN140529.vsp.
Profiling finished.
PRF0025: No data was collected.
Profiling complete.
Some other advices? Please help. Thanks
I am trying to profile and instrument my VSTO Excel plug-in using Visual Studio 2012 on Windows 8. I would like to collect managed function call counts and their timings.
I have no problems with the default sampling option, but the results are generally too high level for me (i.e. ntdll.dll and wow64.dll are the binaries doing "all the work"). However, my attempts to instrument the plug-in always yield "no data" results; I've tried to attach to an existing Excel process, pause and switch the profiling method to "Instrumentation", as well as using the Performance Wizard to create an instrumented profile.
In this case, the output window shows messages like the following:
Data written to C:\project-source\Report130912(3).vsp.
Profiling finished.
File contains no data buffers
File contains no data buffers
Analysis failed
Is this scenario supported for Visual Studio, or have I done something wrong? Is there another tool I can try to obtain this data?
I figured this out by... making my search query more general :)
http://mikedoszhang.blogspot.com/2011/10/profile-net-office-add-in-through.html
In essence, each binary that requires instrumentation must be registered for COM interop and built for the x86 architecture (not Any CPU). Also, you need to explicitly specify the binaries that you want to instrument.
I would like to know how to profile a __device__ function which is inside a __global__ function with Nsight 2.2 on visual studio 2010. I need to know which function is consuming a lot of resources and time. I have CUDA 5.0 on CC 2.0.
Nsight Visual Studio Edition 3.0 CUDA Profiler introduces source correlated experiments. The Profile CUDA Activity supports the following source level experiments:
Instruction Count - Collects instructions executed, thread instructions executed, active thread histogram, predicated thread histogram for every user instruction in the kernel. Information on syscalls (printf) is not collected.
Divergent Branch - Collects branch taken, branch not taken, and divergence count for flow control instructions.
Memory Transactions - Collects transaction counts, ideal transaction counter, and requested bytes for global, local, and shared memory instructions.
This information is collected per SASS instruction. If the kernel is compiled with -lineinfo (--generate-line-info) the information can be rolled up to PTX and high level source code. Since this data is rolled up from SASS some statistics may not be intuitive to the high level source. For example a branch statistic may show 100% not taken when you expected 100% taken. If you look at the SASS code you may see that the compiler reversed the conditional.
Please also not that on optimized builds the compiler is sometimes unable to maintain line table information.
At this time hardware performance counters and timing is only available at the kernel level.
Device code timing can be done using clock() and clock64() as mentioned in comments. This is a very advanced technique which requires both ability to understand SASS and interpret results with respect to the SM warp schedulers.