Many renaissance-xxxx targets in extended.perf can not run on x86-32_windows and arm_linux

[smlambert]

Test Info Test Name: renaissance-gauss-mix_0 Test Duration: 5 sec Machine: build-ibmcloud-win2012r2-x64-2 TRSS link for the test output: https://trss.adoptopenjdk.net/output/test?id=5ff9fb372bad785066074e0c

Build Info Build Name: Test_openjdk11_hs_extended.perf_x86-32_windows Jenkins Build start time: Jan 09 2021, 01:09 pm Jenkins Build URL: https://ci.adoptopenjdk.net/job/Test_openjdk11_hs_extended.perf_x86-32_windows/3/ TRSS link for the build: https://trss.adoptopenjdk.net/allTestsInfo?buildId=5ff9fa292bad785066074bca

The targets renaissance-als, renaissance-chi-square, renaissance-db-shootout, renaissance-dec-tree, renaissance-gauss-mix, renaissance-log-regression, renaissance-movie-lens fail on build-ibmcloud-win2012r2-x64-2 with the following msg:

[2021-01-09T18:19:47.966Z] 21/01/09 12:20:19 INFO PlatformDependent: Your platform does not provide complete low-level API for accessing direct buffers reliably. Unless explicitly requested, heap buffer will always be preferred to avoid potential system unstability.
[2021-01-09T18:19:47.966Z] 21/01/09 12:20:19 INFO Utils: Successfully started service 'sparkDriver' on port 58321.
[2021-01-09T18:19:48.506Z] 21/01/09 12:20:20 INFO SparkEnv: Registering MapOutputTracker
[2021-01-09T18:19:48.506Z] 21/01/09 12:20:20 ERROR SparkContext: Error initializing SparkContext.
[2021-01-09T18:19:48.506Z] java.lang.IllegalArgumentException: System memory 259522560 must be at least 471859200. Please increase heap size using the --driver-memory option or spark.driver.memory in Spark configuration.
[2021-01-09T18:19:48.506Z]  at org.apache.spark.memory.UnifiedMemoryManager$.getMaxMemory(UnifiedMemoryManager.scala:212)
[2021-01-09T18:19:48.506Z]  at org.apache.spark.memory.UnifiedMemoryManager$.apply(UnifiedMemoryManager.scala:194)
[2021-01-09T18:19:48.506Z]  at org.apache.spark.SparkEnv$.create(SparkEnv.scala:308)
[2021-01-09T18:19:48.506Z]  at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:165)
[2021-01-09T18:19:48.506Z]  at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:259)
[2021-01-09T18:19:48.506Z]  at org.apache.spark.SparkContext.<init>(SparkContext.scala:423)
[2021-01-09T18:19:48.506Z]  at org.renaissance.apache.spark.GaussMix.setUpSpark(GaussMix.scala:68)
[2021-01-09T18:19:48.506Z]  at org.renaissance.apache.spark.GaussMix.setUpBeforeAll(GaussMix.scala:57)
[2021-01-09T18:19:48.506Z]  at org.renaissance.RenaissanceBenchmark.runBenchmark(RenaissanceBenchmark.java:74)
[2021-01-09T18:19:48.506Z]  at org.renaissance.RenaissanceSuite$.$anonfun$main$2(renaissance-suite.scala:308)
[2021-01-09T18:19:48.506Z]  at org.renaissance.RenaissanceSuite$.$anonfun$main$2$adapted(renaissance-suite.scala:306)
[2021-01-09T18:19:48.506Z]  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
[2021-01-09T18:19:48.506Z]  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
[2021-01-09T18:19:48.506Z]  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
[2021-01-09T18:19:48.506Z]  at org.renaissance.RenaissanceSuite$.main(renaissance-suite.scala:306)
[2021-01-09T18:19:48.506Z]  at org.renaissance.RenaissanceSuite.main(renaissance-suite.scala)
[2021-01-09T18:19:48.506Z]  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
[2021-01-09T18:19:48.506Z]  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
[2021-01-09T18:19:48.506Z]  at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
[2021-01-09T18:19:48.506Z]  at java.base/java.lang.reflect.Method.invoke(Method.java:566)
[2021-01-09T18:19:48.506Z]  at org.renaissance.Launcher.main(Launcher.java:18)
[2021-01-09T18:19:48.506Z] 21/01/09 12:20:20 INFO SparkContext: Successfully stopped SparkContext

[sxa]

@Haroon-Khel Can you take a look at this? Odd that the test is reporting a relatrively low amount of memory (especially if it's not happening on other java versions or on 64-bit on this machine)

[smlambert]

System memory 259522560 must be at least 471859200.

Please increase heap size using the --driver-memory option or spark.driver.memory in Spark configuration.

Someone should attempt to rerun with this option and see how these tests behave.

[karianna]

Recently https://trss.adoptium.net/output/test?id=616f7b55c6182d021789fb18