BenchmarkTaskflow
Benchmark Taskflow
Compile and Run Benchmarks
BenchmarkTaskflow_1CompileAndRunBenchmarks
Configure Run Options
BenchmarkTaskflow_1ConfigureRunOptions
Specify the Run Model
BenchmarkTaskflow_1SpecifyTheRunModel
Specify the Number of Threads
BenchmarkTaskflow_1SpecifyTheNumberOfThreads
Specify the Number of Rounds
BenchmarkTaskflow_1SpecifyTheNumberOfRounds
Compile and Run BenchmarksTo build the benchmark code, enable the CMake option TF_BUILD_BENCHMARKS to ON as follows:
#under/taskflow/build
~$cmake../-DTF_BUILD_BENCHMARKS=ON
~$make
After you successfully build the benchmark code, you can find all benchmark instances in the benchmarks/ folder. You can run the executable of each instance in the corresponding folder.
~$cdbenchmarks&ls
bench_black_scholesbench_binary_treebench_graph_traversal...
~$./bench_graph_traversal
|V|+|E|Runtime
20.197
8420.198
32840.488
72880.774
......
......
61980275.135
66477177.436
71120083.957
You can display the help message by giving the option --help.
~$./bench_graph_traversal--help
GraphTraversal
Usage:./bench_graph_traversal[OPTIONS]
Options:
-h,--helpPrintthishelpmessageandexit
-t,--num_threadsUINTnumberofthreads(default=1)
-r,--num_roundsUINTnumberofrounds(default=1)
-m,--modelTEXTmodelnametbb|omp|tf(default=tf)
We currently implement the following instances that are commonly used by the parallel computing community to evaluate the system performance.
Instance
Description
bench_binary_tree
traverses a complete binary tree
bench_black_scholes
computes option pricing with Black-Shcoles Models
bench_graph_traversal
traverses a randomly generated direct acyclic graph
bench_linear_chain
traverses a linear chain of tasks
bench_mandelbrot
exploits imbalanced workloads in a Mandelbrot set
bench_matrix_multiplication
multiplies two 2D matrices
bench_mnist
trains a neural network-based image classifier on the MNIST dataset
bench_parallel_sort
sorts a range of items
bench_reduce_sum
sums a range of items using reduction
bench_wavefront
propagates computations in a 2D grid
bench_linear_pipeline
pipeline scheduling on a linear chain of pipes
bench_graph_pipeline
pipeline scheduling on a graph of pipes
Configure Run OptionsWe implement consistent options for each benchmark instance. Common options are:
option
value
function
-h
none
display the help message
-t
integer
configure the number of threads to run
-r
integer
configure the number of rounds to run
-m
string
configure the baseline models to run, tbb, omp, or tf
You can configure the benchmarking environment by giving different options.
Specify the Run ModelIn addition to a Taskflow-based implementation for each benchmark instance, we have implemented two baseline models using the state-of-the-art parallel programming libraries, OpenMP and Intel TBB, to measure and evaluate the performance of Taskflow. You can select different implementations by passing the option -m.
~$./bench_graph_traversal-mtf#runtheTaskflowimplementation(default)
~$./bench_graph_traversal-mtbb#runtheTBBimplementation
~$./bench_graph_traversal-momp#runtheOpenMPimplementation
Specify the Number of ThreadsYou can configure the number of threads to run a benchmark instance by passing the option -t. The default value is one.
#runtheTaskflowimplementationusing4threads
~$./bench_graph_traversal-mtf-t4
Depending on your environment, you may need to use taskset to set the CPU affinity of the running process. This allows the OS scheduler to keep process on the same CPU(s) as long as practical for performance reason.
#affinetheprocessto4CPUs,CPU0,CPU1,CPU2,andCPU3
~$taskset-c0-3bench_graph_traversal-t4
Specify the Number of RoundsEach benchmark instance evaluates the runtime of the implementation at different problem sizes. Each problem size corresponds to one iteration. You can configure the number of rounds per iteration to average the runtime.
#measuretheruntimeinanaverageof10runs
~$./bench_graph_traversal-r10
|V|+|E|Runtime
20.109#theruntimevalue0.109isanaverageof10runs
8420.298
......
61980273.135
66477174.436