Graphics Processing Units (GPUs) have been used in general purpose computing for several years. The newly introduced Dynamic Parallelism feature of Nvidia's Kepler GPUs allows launching kernels from the GPU directly. However, the naïve use of this ...

Many-core processors are made by hundreds to thousands cores, distributed memories and a dedicated network on a single chip. In this context, and because of the scale of the processor, providing a shared memory system has to rely on efficient hardware ...

Discovery of parallelization opportunities in sequential programs can greatly reduce the time and effort required to parallelize any application. Identification and analysis of code that contains little to no internal parallelism can also help expose ...

Multicore architectures are becoming more common today. Many software products implemented sequentially have failed to exploit the potential parallelism of multicore architectures. Significant re-engineering and refactoring of existing software is ...

Modern compilers offer more and more capabilities to automatically parallelize code-regions if these match certain properties. However, there are several application kernels that, although rather simple transformations would suffice in order to make ...

Ever since the end of the era of single processor performance improvement, we observe proliferation of multi and many-core architectures in almost all spheres of computing. Tablets, desktop PCs, workstation clusters, and supercomputers are ripe with ...

Many modern high-end embedded systems are designed as heterogeneous systems-on-chip (SoCs), where a powerful general purpose multicore host processor is coupled to a manycore accelerator. The host executes legacy applications on top of standard ...