Commit Graph

5 Commits

Author SHA1 Message Date
Adrian Prantl 5f8f34e459 Remove \brief commands from doxygen comments.
We've been running doxygen with the autobrief option for a couple of
years now. This makes the \brief markers into our comments
redundant. Since they are a visual distraction and we don't want to
encourage more \brief markers in new code either, this patch removes
them all.

Patch produced by

  for i in $(git grep -l '\\brief'); do perl -pi -e 's/\\brief //g' $i & done

Differential Revision: https://reviews.llvm.org/D46290

llvm-svn: 331272
2018-05-01 15:54:18 +00:00
Andrea Di Biagio 94fafdfded [llvm-mca] run clang-format on all files.
This also addresses Simon's review comment in D44839.

llvm-svn: 328428
2018-03-24 16:05:36 +00:00
Andrea Di Biagio 0cc66c7954 [llvm-mca] Move the logic that prints the summary into its own view. NFCI
llvm-svn: 327128
2018-03-09 13:52:03 +00:00
Andrea Di Biagio 8af3fe81eb [llvm-mca] Unify the API for the various views. NFCI
This allows the customization of the performance report.

Users can specify their own custom sequence of views.
Each view contributes a portion of the performance report generated by the
BackendPrinter.

Internally, class BackendPrinter keeps a sequence of views; views are printed
out in sequence when method 'printReport()' is called. 

This patch addresses one of the two review comments from Clement in D43951.

llvm-svn: 327018
2018-03-08 16:08:43 +00:00
Andrea Di Biagio 3a6b092017 [llvm-mca] LLVM Machine Code Analyzer.
llvm-mca is an LLVM based performance analysis tool that can be used to
statically measure the performance of code, and to help triage potential
problems with target scheduling models.

llvm-mca uses information which is already available in LLVM (e.g. scheduling
models) to statically measure the performance of machine code in a specific cpu.
Performance is measured in terms of throughput as well as processor resource
consumption. The tool currently works for processors with an out-of-order
backend, for which there is a scheduling model available in LLVM.

The main goal of this tool is not just to predict the performance of the code
when run on the target, but also help with diagnosing potential performance
issues.

Given an assembly code sequence, llvm-mca estimates the IPC (instructions per
cycle), as well as hardware resources pressure. The analysis and reporting style
were mostly inspired by the IACA tool from Intel.

This patch is related to the RFC on llvm-dev visible at this link:
http://lists.llvm.org/pipermail/llvm-dev/2018-March/121490.html

Differential Revision: https://reviews.llvm.org/D43951

llvm-svn: 326998
2018-03-08 13:05:02 +00:00