Intel director James Reinders explains the difference between task and data parallelism, and how there is a way around the limits imposed by Amdahl's Law... I'm James Reinders, and I'm going to cover ...

I’m James Reinders, and I’m going to cover to key concepts involved with parallelism today. They are terms that you’ll hear when you start working with parallel programming, when you start looking at ...

Task parallelism is perhaps the most general approach to parallel processing. In task parallel programs, different operations (i.e., tasks) are performed simultaneously; sometimes the tasks operate on ...

For more on this topic see Using pipelining in multicore LabView and Using data parallelism in multicore LabView. Until recently, advances in computing hardware have provided significant increases in ...

Abstract: For several decades, programmers have relied on Moore's Law to improve the performance of their software applications. From now on, programmers need to program the multicores if they want 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 ...

Codelets and tasks When StarPU is initialized, it creates a set of worker threads. Usually each CPU core gets its own worker thread. Depending on the configuration, one or more CPU cores (and GPU ...

Data parallelism is achieved in the processEmployeesAndMetricsByDepartment function, where tasks involving querying and processing employees based on their department ...