Renaissance 0.12 Released

We are pleased to announce a new release of the Renaissance benchmark suite. Apart from a number of internal cleanups, most changes in this release focused on improving compatibility with modern platforms. Most notably, we have moved away from Scala 2.11, Scala 2.12, and Spark 2 towards Scala 2.12, Scala 2.13 and Spark 3. Some benchmarks were unaffected, some needed just dependency updates, and some needed a bit more work.

The workloads, as implemented by the benchmarks, are largely unchanged, but the code being executed as a result of the benchmark workload may differ substantially from previous version of Renaissance, mainly due to substantial dependency updates in some of the benchmarks. See the sections below for more details.

On the platform compatibility front, the suite supports JDK8 and JDK11 on Linux, MacOS X, and Windows. While most benchmarks also run on more recent JDK versions, some of them have dependencies that limit their compatibility to a particular range of JDK versions.

We welcome any comments and contributions.

Happy benchmarking!

Harness changes

The harness now automatically excludes benchmarks that are known to be incompatible with the JVM on which it executes. This can be disabled using the --no-jvm-check option on the command line.

The harness now allows using a specific base directory for scratch files. The current directory is still the default, but it can be changed using the --scratch-base option on the command line. For debugging purposes, the --keep-scratch option disables deleting the scratch directories when the harness terminates.

Finally, to make experimentation with benchmarks a bit easier, the harness allows overriding benchmark parameters using the --override command line option.

Spark benchmark changes

The Spark benchmarks moved from Spark 2.0.0 on Scala 2.11.8 to Spark 3.1.2 on Scala 2.12.14, which is a major change in the underlying libraries. In addition to various cleanups and compatibility fixes for Windows, there have been several changes that may influence the overall performance.

  • The number of threads used by the Spark local executor is now limited to reflect the parallelism of a particular workload, which prevents scalability issues on huge machines with tens of cores. The limit is configured using the spark_thread_limit parameter. - All workloads use the default partitioning of input data and limit the storage level of input data to memory only.
  • als and movie-lens also limit the storage level of intermediate data sets to memory only to avoid benchmarking storage IO.
  • log-regression now avoids repeated conversion from an RDD to DataFrame.
  • naive-bayes now uses ML classes from the package because classes from the org.apache.spark.mllib package only served as wrappers, introducing unnecessary conversion from RDD to DataFrame.

Benchmarks using Scala 2.13.6

The following lists Java bencharks with a simple Scala wrapper or Scala benchmarks that have been updated to use Scala 2.13.6, along with notable changes in some of them:

  • akka-uct (previously Scala 2.11.8)
    • Updated akka-actor dependency (2.3.11 -> 2.6.12)
    • Very minor benchmark update for the 2.6.x API.
  • db-shootout (Java)
    • Maximum supported JVM version set to 11.
  • dotty (previously Scala 2.12.8)
    • Updated Dotty compiler (0.12.0 -> 3.0.0)
    • Compiles scalap sources instead of “type-system puzzles”.
    • Adds hash-based validation of generated Tasty files.
  • fj-kmeans, future-genetic (Java)
  • mnemonics, par-mnemonics, scrabble (Java)
  • rx-scrabble (Java)
  • scala-kmeans (previously Scala 2.12.8)
  • scala-doku (previously Scala 2.11.7)
    • Bundled cafesat dependency updated (0.01 -> 0.01-28-gd0edeaa) and cleaned up for Scala 2.13
    • Bundled scala-smtlib dependency updated (0.1 -> 0.2.1-52-ga71d6b0) and cleaned up for Scala 2.13

Benchmarks using Scala 2.12.14

The following lists benchmarks that use Scala 2.12.14, along with notable changes in some them:

  • finagle-chirper, finagle-http (previously Scala 2.11.8)
  • neo4j-analytics (previously Scala 2.12.8)
    • Benchmark ported to Neo4J 4.x API
    • Updated org.neo4j.neo4j dependency (3.5.12 -> 4.2.4)
    • Updated net.liftweb.lift-json dependency (3.2.0 -> 3.4.3)
    • Requires JVM versions between 11 and 15, inclusive (Neo4J requirements).
  • philosophers, scala-stm-bench7 (previously Scala 2.12.3)
  • reactors (previously Scala 2.11.8)
  • Spark workloads (previously Scala 2.11.8)