Transactional memory systems represent a paradigm shift in concurrent programming by abstracting low-level lock management and enabling sequences of operations to be executed as atomic transactions.

Dr. Dobb’s has a review today that takes a look at the progress MS is making supporting developers struggling to add effective support for concurrency in their apps If you want to translate multicore ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

In this video from the C++ and Beyond 2011 conference, Andrei Alexandrescu, Scott Meyers and Herb Sutter discuss concurrency and parallelism. A Tip of the Hat goes to GPU Science for pointing us to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread ...