Commit Graph

4 Commits

Author SHA1 Message Date
Andrea Di Biagio 7948738673 [llvm-mca] BackendStatistics: early exit from method printSchedulerUsage if the
no scheduler resources were consumed.

llvm-svn: 327215
2018-03-10 17:40:25 +00:00
Andrea Di Biagio 373c38a2db [llvm-mca] Fix handling of zero-latency instructions.
This patch fixes a problem found when testing zero latency instructions on
target AArch64 -mcpu=exynos-m3 / -mcpu=exynos-m1.

On Exynos-m3/m1, direct branches are zero-latency instructions that don't consume
any processor resources.  The DispatchUnit marks zero-latency instructions as
"executed", so that no scheduling is required.  The event of instruction
executed is then notified to all the listeners, and the reorder buffer (managed
by the RetireControlUnit) is updated. In particular, the entry associated to the
zero-latency instruction in the reorder buffer is marked as executed.

Before this patch, the DispatchUnit forgot to assign a retire control unit token
(RCUToken) to the zero-latency instruction. As a consequence, the RCUToken was
used uninitialized. This was causing a crash in the RetireControlUnit logic.

Fixes PR36650.

llvm-svn: 327056
2018-03-08 20:21:55 +00:00
Andrea Di Biagio 7bbac07f22 [llvm-mca] Emit the 'Instruction Info' table before the resource pressure view.
In future, both the summary information and the 'instruction info' table should
be moved into a separate "Summary" view.

llvm-svn: 327010
2018-03-08 15:34:38 +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