preview of NVIDIA Visual Profiler Options

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Here's an initial download of the CUDA Visual Profiler
See the full README.
For linux: tar xvfz CudaVisualProfiler_0.1_beta_linux.tar.gz
Windows: extract the zip contents from CudaVisualProfiler_0.1_beta_windows.zip

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NVIDIA CUDA Visual Profiler
Version 0.1 Beta
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Published by
NVIDIA Corporation
2701 San Tomas Expressway
Santa Clara, CA 95050

Notice

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LIST OF SUPPORTED FEATURES:
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- Execute a CUDA program with profiling enabled and view the profiler output
as a table. The table has the following columns for each GPU method:
timestamp: Start time stamp
method: GPU method name. This is either "memcopy" for memory copies
or the name of a GPU kernel.
GPU Time
CPU Time
Occupancy
Profiler counters:
gld_incoherent : Number of non-coalesced global memory loads
gld_coherent : Number of coalesced global memory loads
gst_incoherent : Number of non-coalesced global memory stores
gst_coherent : Number of coalesced global memory stores
local_load : Number of local memory loads
local_store : Number of local memory stores
branch : Number of branch events (instruction and/or sync stack)
divergent_branch : Number of divergent branches within a warp
instructions : Number of dynamic instructions (in fetch)
warp_serialize : Number of threads in a warp serialize based
on address (GRF or constant)
cta_launched : Number of CTAs launched on the PM TPC

Please refer the "Interpreting Profiler Counters" section below for
more information on profiler counters.
Note that profiler counters are also referred to as profiler signals.


- Display the summary profiler table. It has the following columns for each
GPU method:
method name
number of calls
total GPU time
% age GPU time
Total counts for each profiler counter.

- Display various kinds of plots:
- Summary profiling data bar plot
- GPU Time Height plot
- GPU Time Width plot
- Profiler counter bar plot
- Profiler output table column bar plot

- Analysis of profiler output - lists out method with high number of:
. incoherent stores
. incoherent loads
. warp serializations

- Compare profiler output for multiple program runs of the same program
or for different programs. Each program run is referred to as a session.

- Save profiling data for multiple sessions. A group of sessions is referred
to as a project.

- Import/Export CUDA Profiler CSV format data


DESCRIPTION OF DIFFERENT PLOTS:
------------------------------

- Summary profiling data bar plot
. One bar for each method
. Bars sorted in decreasing gpu time,
. Bar length is proportional to cumulative gputime for a method

- GPU Time Height Plot:
It is a bar diagram in which the height of each bar is proportional
to the GPU time for a method and a different bar color is assigned for
each method. A legend is displayed which shows the color assignment for
different methods. The width of each bar is fixed and the bars are displayed
in the order in which the methods are executed.

When the "fit in window" option is enabled the display is adjusted so as
to fit all the bars in the displayed window width. In this case bars for
multiple methods can overlap. The overlapped bars are displayed in decreasing
order of height so that all the different bars are visible.

When the "Show CPU Time" option is enabled the CPU time is shown as a
bar in a different color on top of the GPU time bar. The height of this
bar is proportional to the difference of CPU time and GPU time for the method.

- GPU Time Width Plot:
It is a bar diagram in which the width of each bar is proportional
to the GPU time for a method and a different bar color is assigned for
each method. A legend is displayed which shows the color assignment for
different methods. The bars are displayed in the order in which the
methods are executed. When time stamps are enabled the bars are positioned
based on the time stamp.
The height of each bar is based on the option chosen:
a) fixed height : height is fixed.
b) height proportional to instruction issue rate: the instruction issue
rate for a method is equal to profiler "instructions" counter
value divided by the gpu time for the method.
c) height proportional to incoherent load + store rate: the incoherent load
+ store rate for a method is equal to the sum of profiler
"gld_incoherent" and "gst_incoherent" counter values divided by the
gpu time for the method.

- Profiler counter bar plot
It is a bar plot for profiler counter values for a method from the profiler
output table or the summary table.
. One bar for each profiler counter
. Bars sorted in decreasing profiler counter value
. Bar length is proportional to profiler counter value

- Profiler output table column bar plot
It is a bar plot for any column of values from the profiler output
table or summary table
. One bar for each row in the table
. Bars sorted in decreasing column value
. Bar length is proportional to column value

Attached File(s)

 CudaVisualProfiler_0.1_beta_linux.tar.gz ( 4.53MB ) Number of downloads: 1724
 CudaVisualProfiler_0.1_beta_windows.zip ( 3.99MB ) Number of downloads: 4205
 CudaVisualProfiler_README_0.1_beta.txt ( 20.74K ) Number of downloads: 1577
 CudaVisualProfiler_linux_releases_notes_0.1_beta.txt ( 3.15K ) Number of downloads: 714
 CudaVisualProfiler_windows_releases_notes_0.1_beta.txt ( 2.07K ) Number of downloads: 696