Using parallel code to improve performance

images_Intel

Clay Breshears has written a great introductory article about the three levels of parallel programming: multithreading, distributed parallelism and vectorisation. 

Multithreading, as used by CADEX, for example, is a good starting point and is ideal where your code has independent computations that can run simultaneously, and where your data fits on a node. Distributed parallelism is a good fit when your data sets are too large to fit on a single machine and the computations can be distributed using subsets of the data. Vectorisation helps with compute-intensive workloads and enables identical computations to be performed on different pieces of data at the same time. You can use vectorisation together with multithreading, too.

There’s a quick reference guide to building multithreaded applications here.

To find tools and training to help with optimising your software for modern processor architectures, visit the Intel® Modern Code programme.

 

  • Show Comments

You May Also Like

images_RittalProductionPlant

Rittal to build new production plant

Rittal to build new production plant Rittal is expanding its production capabilities and building ...

new-years-day-1807746_1920

Top Five IT Issues Businesses Should Look Out For In 2017

IT firm Taylor Made Computer Solutiuons has unveiled its list of the top five ...

RETN

RETN Conducts Massive Network Upgrade At EvoSwitch Data Centre

International network service provider, RETN, has announced that it has carried out a massive ...

Share This