Prokopec, AleksandarRosà, AndreaLeopoldseder, DavidDuboscq, GillesTu̇ma, PetrStudener, MartinBulej, LubomírZheng, YudiVillazón, AlexSimon, DougWürthinger, ThomasBinder, WalterFelderer, MichaelHasselbring, WilhelmRabiser, RickJung, Reiner2020-02-032020-02-032020978-3-88579-694-7https://dl.gi.de/handle/20.500.12116/31723Our paper published in the proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2019)proposes Renaissance, a modern benchmark suite whose aim is to advance compiler and virtual machine (VM) research. The publication is complemented by an accepted artifactTo demonstrate that a compiler optimization, a memory management algorithm, or a synchronization technique is useful, a VM researcher needs benchmarks that demonstrate the desired behavior, and at the same time capture representative aspects of real-world applications. During the last decade, multiple new programming paradigms appeared on the Java VM (JVM), including functional programming, big-data processing, parallel and concurrent programming, message-passing, stream processing, and machine learning. The JVM has evolved as a platform too: new features, such as method-handles, variable-handles, the invokedynamic instruction, lambdas, atomic and relaxed memory operations, present new challenges for dynamic compilers and runtime environments. Existing benchmark suites do not capture the new applications, because they were made in a time when these workloads did not exist. Renaissance bridges this gap. The Renaissance suite is an ongoing, open-source effort to collect representative real-world workloads, and to advance the research and development of VMs. Renaissance is available at https://renaissance.dev/enbenchmarksJIT compilationparallelismconcurrencyJVMobject-oriented programming benchmarksfunctional-programming benchmarksbig-data benchmarksRenaissance: Benchmarking Suite for Parallel Applications on the JVMText/Conference Paper10.18420/SE2020_441617-5468