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 languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

A new evaluation of popular parallel programming languages finds that the C++ library provides the best combination of usability and performance Multicore programming is a tricky problem. Developers ...

Parallel programming approaches are varied and sometimes depend upon the underlying hardware architecture. Many approaches require shared memory, while message-based solutions can be mapped to a range ...

The efficient implementation of pure declarative languages is alsovery difficult (curiously, the implementation problem is the dual ofthe automatic parallelization problem, an observation that we ...