Established benchmark suites for the Java Virtual Machine (JVM),
such as DaCapo, ScalaBench, and SPECjvm2008,
lack workloads that take advantage of the parallel programming abstractions
and concurrency primitives offered by the JVM and the Java Class Library.
However, such workloads are fundamental for understanding the way in which
modern applications and data-processing frameworks use the JVM's concurrency features,
and for validating new just-in-time (JIT) compiler optimizations
that enable more efficient execution of such workloads.
We present Renaissance, a new benchmark suite composed of
modern, real-world, concurrent, and object-oriented workloads
that exercise various concurrency primitives of the JVM.
We show that the use of concurrency primitives in these workloads
reveals optimization opportunities that were not visible with the existing workloads.
We use Renaissance to compare performance of two state-of-the-art,
production-quality JIT compilers (HotSpot C2 and Graal),
and show that the performance differences are more significant
than on existing suites such as DaCapo and SPECjvm2008.
We also use Renaissance to expose four new compiler optimizations,
and we analyze the behavior of several existing ones.
We use Renaissance to compare performance of two state-of-the-art,
production-quality JIT compilers (HotSpot C2 and Graal),
and show that the performance differences are more significant
than on existing suites such as DaCapo and SPECjvm2008.
We also use Renaissance to expose four new compiler optimizations,
and we analyze the behavior of several existing ones.