Analysis and Optimization of Task Granularity on the Java Virtual Machine
Analysis and Optimization of Task Granularity on the Java Virtual Machine is a scholarly work, published in 2019 in ''ACM Transactions on Programming Languages and Systems''. The main subjects of the publication include scalability, multi-core processor, cloud computing, computer science, virtual machine, task, fault tolerance, distributed computing, benchmark, Granularity, computation, computer architecture, technological overhead, parallel computing, and Java. The authors analyze task granularity in the DaCapo, ScalaBench, and Spark Perf benchmark suites, revealing inefficiencies related to fine-grained and coarse-grained tasks in several applications.