Please contact the authors before publishing any results obtained with Task Bench.
Corresponding authors:
- Elliott Slaughter [email protected]
- Wei Wu [email protected]
Task Bench is a configurable benchmark for evaluating the efficiency and performance of parallel and distributed programming models, runtimes, and languages. It is primarily intended for evaluating task-based models, in which the basic unit of execution is a task, but it can be implemented in any parallel system. The benchmark consists of a configurable task graph (which can be thought of as an iteration space with tasks at every point), with configurable dependencies between tasks. Tasks execute a configurable set of kernels, which allow the execution to be compute-bound, memory-bound, communication-bound, or runtime overhead-bound (with empty tasks).
The following configurations are currently supported:
Implementations: Charm++, Chapel, Dask, Legion, MPI, MPI+OpenMP, OmpSs, OpenMP, PaRSEC, Pygion, Realm, Regent, Spark, StarPU, Swift/T, TensorFlow, X10
Dependence patterns: trivial, no_comm, stencil_1d, stencil_1d_periodic, dom, tree, fft, all_to_all, nearest, spread, random_nearest
Kernels: compute-bound, memory-bound, load-imbalanced compute-bound, empty
To build and run just the Legion implementation, run:
git clone https://github.com/StanfordLegion/task-bench.git
cd task-bench
DEFAULT_FEATURES=0 USE_LEGION=1 ./get_deps.sh
./build_all.sh
(Remove DEFAULT_FEATURES=0 to build all the implementations.)
The benchmark supports various dependence types:
./legion/task_bench -steps 4 -width 4 -type trivial
./legion/task_bench -steps 4 -width 4 -type no_comm
./legion/task_bench -steps 4 -width 4 -type stencil_1d
./legion/task_bench -steps 4 -width 4 -type fft
./legion/task_bench -steps 9 -width 4 -type dom
./legion/task_bench -steps 4 -width 4 -type all_to_all
And different kernels can be plugged in to the execution:
./legion/task_bench -kernel compute_bound -iter 1024
./legion/task_bench -kernel memory_bound -scratch 8192 -iter 16
./legion/task_bench -kernel load_imbalance -iter 1024
For detailed instructions on configuring task bench for performance experiments, see EXPERIMENT.md.