Matthias Boehm created SYSTEMML-2487:
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Summary: Native Dnn operations crashing in over-provisioned parfor
Key: SYSTEMML-2487
URL: https://issues.apache.org/jira/browse/SYSTEMML-2487
Project: SystemML
Issue Type: Bug
Reporter: Matthias Boehm
In case parfor does not consume all the available parallelism, we propagate
this parallelism down to individual operations with slight (max 50%)
overprovisioning. For example, if we have 80vcores, and parfor is assigned
k=47, we still assign k=2 to individual operations.
However, with native DNN operations this causes JVM crashes as follows:
{code}
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGFPE (0x8) at pc=0x00007f5de21902d6, pid=335027, tid=0x00007f5df8bcb700
#
# JRE version: OpenJDK Runtime Environment (8.0_161-b14) (build 1.8.0_161-b14)
# Java VM: OpenJDK 64-Bit Server VM (25.161-b14 mixed mode linux-amd64 )
# Problematic frame:
# C [libmkl_avx512.so+0x206d2d6][thread 140041622857472 also had an error]
mkl_dnn_avx512_bkdGemmDirectConv_F64+0x276
{code}
Hence, when native BLAS or DNN libraries are loaded, we should be more
conservative and not over-provision at all.
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