Writing correct concurrent programs is harder than writing sequential ones. This is because the set of potential risks and failure modes is larger - anything that can go wrong in a sequential program ...

Programming a network processor offers its own challenges. That's because it differs in some fundamental ways from the general-purpose processors that have in the past been the staple of embedded ...

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 ...

Programming general purpose multi-core processors is generally regarded as impossible, but XMOS Semiconductor has done it and is applying it in practical applications, according to the CTO of XMOS, ...

The 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2009) and the 15th International Symposium on High-Performance Computer Architecture (HPCA-15) opened Monday in ...

Multicore chip designs, large symmetrical multiprocessing (SMP) systems, and clustering can bring many processors to bear on an application. But without proper software, they're simply large ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...

After introducing interrupts and the foreground/background architecture, I am finally ready to tackle the concept of a Real-Time Operating System (RTOS). In this first lesson on RTOS (commonly ...

Researchers have discovered a new gene-editing technique that allows for the programming of sequential cuts -- or edits -- over time. Researchers from the University of Illinois Chicago have ...