Performance analysis tools for parallel Java applications on shared-memory systems

In this paper we describe an instrumentation environment for the performance analysis and visualization of parallel applications written in JOMP, an OpenMP-like interface for Java. The environment includes two complementary approaches. The first one has been designed to provide a detailed analysis of the parallel behavior at the JOMP programming model level. At this level, the user is faced with parallel, work-sharing and synchronization constructs, which are the core of JOMP. The second mechanism has been designed to support an in-depth analysis of the threaded execution inside the Java virtual machine (JVM). At this level of analysis, the user is faced with the supporting threads layer monitors and conditional variables. The paper discusses the implementation of both mechanisms and evaluates the overhead incurred by them.