Data Parallel Application Adaptivity and System-Wide Resource Management in Many-Core Architectures

Since the silicon technology entered the many-core era, new computing platforms are exploiting higher and higher levels of parallelism. Thanks to scalable, clustered architectures, embedded systems and high-performance computing (HPC) are rapidly converging.We are also experiencing a rapid overlapping of the challenges related to efficient exploitation of processing resources. Platform-specific optimization and application boosting cannot be considered independently anymore. Thus the increased interest towards broader and versatile methodologies, which could easily scale from the embedded up to the general-purpose domain.