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Puntos de referencia
R2024aTemas
- 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.
- Resource Contention in Task Parallel Problems
This example shows why it is difficult to give a concrete answer to the question "How will my parallel code perform on my multicore machine or on my cluster?"
Ejemplos destacados
Use parfor to Speed Up Monte-Carlo Code
Speed up Monte-Carlo code by using parfor-loops. Monte-Carlo methods are found in many fields, including physics, mathematics, biology, and finance. Monte-Carlo methods involve executing a function many times with randomly distributed inputs. With Parallel Computing Toolbox™, you can replace a for-loop with a parfor-loop to easily speed up code.
Benchmark A\b on the GPU
Benchmark the solving of a linear system on the GPU.
