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 ...

In Part 2 of this three-part series on dataflow programming with the Task Parallel Library, Eric Vogel shows you how to create a Windows 8 application that uses a composite parallel data flow. In Part ...

There's a lot of confusion about async/await, Task/TPL and asynchronous and parallel programming in general, so Jeremy Clark is on a mission to inform developers on how to use everything properly.

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Whether modifying an existing application or writing entirely new code, parallel applications can be much more challenging to work with than their sequential counterparts. Without a doubt, the ...

Programming challenges are biggest when the application and the implementation architecture are orthogonal. Application-specific architectures offer little opportunity for software to be a ...

For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

Language Integrated Query, also known as LINQ, is a query execution pipeline that adds query capabilities to languages targeted at the managed environment of .Net. Parallel LINQ, or PLINQ, is a query ...