> Before this PR, you cannot use -XX:AOTCache in the training run: > > > $ java -XX:AOTCache=foo.aot -cp HelloWorld.jar \ > -XX:AOTMode=record -XX:AOTConfiguration=hw.aotconfig \ > HelloWorld > [...] AOTCache must not be specified when using -XX:AOTMode=record > > > However, in some cases, it may be desirable to train the AOT cache in two or > more steps. For example: > > ## Separate Training for Framework and Application: > > - First perform a training run to exercise commonly-used areas of the > framework. > - Second, perform a training run of a specific application. > > The idea is that important parts of the framework may not be covered by a > single application training run, but they may still be used in the production > run due to runtime-specific input. > > > # Train the framework > java -XX:AOTCacheOutput=first.aot -cp FrameWork.jar FrameWorkTraningHelper > > # Train the app > java -XX:AOTCache=first.aot -XX:AOTCacheOutput=second.aot -cp > FrameWork.jar:App.jar MyApp > > # Production run using second.aot, which contains artifacts from > # the first and second training runs > java -XX:AOTCache=second.aot -cp FrameWork.jar:App.jar MyApp > > Note that the classpaths of the training runs must be compatible. I.e., the > classpath of an earlier training run must be the same as, or the prefix of, > the classpath of a later training run. > > ## Train the Same Application in Multiple Runs: > > An application may perform 3 different operations. It's not easy to perform > all 3 operations in a single training run, as the 3 operations are > represented by 3 separate main classes (`WalkDog`, `FeedCat`, and > `WaterPlants`). So, we perform 3 separate training runs and combine the > results into a single AOT cache. > > > # Training > java -XX:AOTCacheOutput=tmp1.aot -cp MyApp.jar WalkDog > java -XX:AOTCache=tmp1.aot -XX:AOTCacheOutput=tmp2.aot -cp MyApp.jar FeedCat > java -XX:AOTCache=tmp2.aot -XX:AOTCacheOutput=final.aot -cp MyApp.jar > WaterPlants > > # Production: final.aot contains artifacts for optimizing all 3 operations: > java -XX:AOTCache=final.aot -cp MyApp.jar WalkDog > java -XX:AOTCache=final.aot -cp MyApp.jar FeedCat > java -XX:AOTCache=final.aot -cp MyApp.jar WaterPlants > > > --------- > - [x] I confirm that I make this contribution in accordance with the [OpenJDK > Interim AI Policy](https://openjdk.org/legal/ai).
Ioi Lam has updated the pull request with a new target base due to a merge or a rebase. The pull request now contains 55 commits: - cleaned up comment - Merge branch 'master' into aot-re-training - @vnkozlov comments -- check AOTReplayTraining - @vnkozlov comment -- removed unnecessary code - Renamed the CDSAppTester workflows to AOT-Iterative1 and AOT-Iterative2 - updated man page - Merge branch 'master' into aot-re-training - Avoid crashing inside ciRecords::Arguments<>::prepare() because _first==nullptr - Merge branch 'master' into aot-re-training - Fixed bug found in AOT/JCK testing - ... and 45 more: https://git.openjdk.org/jdk/compare/722e2fff...df2dd3ef ------------- Changes: https://git.openjdk.org/jdk/pull/31344/files Webrev: https://webrevs.openjdk.org/?repo=jdk&pr=31344&range=03 Stats: 1684 lines in 63 files changed: 1312 ins; 105 del; 267 mod Patch: https://git.openjdk.org/jdk/pull/31344.diff Fetch: git fetch https://git.openjdk.org/jdk.git pull/31344/head:pull/31344 PR: https://git.openjdk.org/jdk/pull/31344
