Benchmarks

Examples that measure the performance of parallel code

Topics

Benchmark Cluster Workers

This example shows how to run the MATLAB benchmark on your cluster workers.

Benchmark Your Cluster with the HPC Challenge

This example shows how to evaluate the performance of a compute cluster with the HPC Challenge Benchmark.

Sequential Blackjack

This example plays the card game of blackjack, also known as 21.

Distributed Blackjack

This example uses the Parallel Computing Toolbox™ to play the card game of blackjack, also known as 21.

Resource Contention in Task Parallel Problems

This example looks at why it is so hard to give a concrete answer to the question "How will my (parallel) application perform on my multi-core machine or on my cluster?" The answer most commonly given is "It depends on your application as well as your hardware," and we will try to explain why this is all one can say without more information.

Benchmarking Independent Jobs on the Cluster

In this example, we show how to benchmark an application using independent jobs on the cluster, and we analyze the results in some detail.

Featured Examples

Simple Benchmarking of PARFOR Using Blackjack

Simple Benchmarking of PARFOR Using Blackjack

Benchmarks the parfor construct by repeatedly playing the card game of blackjack, also known as 21. We use parfor to play the card game multiple times in parallel, varying the number of MATLAB® workers, but always using the same number of players and hands.

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Benchmarking A\b

Benchmarking A\b

Benchmark solving a linear system on a cluster. The MATLAB® code to solve for x in A*x = b is very simple. Most frequently, one uses matrix left division, also known as mldivide or the backslash operator (\), to calculate x (that is, x = A\b). Benchmarking the performance of matrix left division on a cluster, however, is not as straightforward.

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Benchmarking A\b on the GPU

Benchmarking A\b on the GPU

Looks at how we can benchmark the solving of a linear system on the GPU. The MATLAB® code to solve for x in A*x = b is very simple. Most frequently, we use matrix left division, also known as mldivide or the backslash operator (\), to calculate x (that is, x = A\b).

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Parallel Computing Toolbox Documentation

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