maxjhandsome
/
llvm-project
forked from OSchip/llvm-project
1
0
Fork 0
Code Issues Pull Requests Packages Releases Wiki Activity

Format markdown list. 

PiperOrigin-RevId: 272095611
This commit is contained in:
MLIR Team 2019-09-30 16:48:08 -07:00 committed by A. Unique TensorFlower
parent 219421ece7
commit fb41df9c4a
1 changed files with 8 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
mlir/g3doc/Rationale.md
View File

@ -1108,12 +1108,14 @@ lists, which would be unbearably inefficient).
MLIR now supports a multithreaded pass manager. We do this through several
design choices:
1) MLIR makes use of extensive uniqued immutable data structures (affine
expressions, types, etc are all immutable, uniqued, and immortal). 2) constants
are defined in per-function pools, instead of being globally uniqued. 3)
functions themselves are not SSA values either, so they don't have the same
problem as constants. 4) FunctionPasses are copied (through their copy ctor)
into one instance per thread, avoiding sharing of local state across threads.
1. MLIR makes use of extensive uniqued immutable data structures (affine
expressions, types, etc are all immutable, uniqued, and immortal).
2. Constants are defined in per-function pools, instead of being globally
uniqued.
3. Functions themselves are not SSA values either, so they don't have the same
problem as constants.
4. FunctionPasses are copied (through their copy ctor) into one instance per
thread, avoiding sharing of local state across threads.
This allows MLIR function passes to support efficient multithreaded compilation
and code generation.