Sökning: "GPU programming"
Visar resultat 1 - 5 av 16 avhandlingar innehållade orden GPU programming.
Sammanfattning : In this thesis, we address issues associated with programming modern heterogeneous systems while focusing on a special kind of heterogeneous systems that include multicore CPUs and one or more GPUs, called GPU-based systems.We consider the skeleton programming approach to achieve high level abstraction for efficient and portable programming of these GPU-based systemsand present our work on SkePU library which is a skeleton library for these systems. LÄS MER
Sammanfattning : Graphics Processing Units (GPUs) are evolving into powerful general purpose computing platforms. At first, GPU performance was driven by the requirements of 3D graphics computer games. To fit this workload, a GPU is a many-core processor suitable for the data-parallel programming paradigm. LÄS MER
Sammanfattning : CPU/GPU heterogeneous systems have shown remarkable advantages in performance and energy consumption compared to homogeneous ones such as standard multi-core systems.Such heterogeneity represents one of the most promising trendsfor the near-future evolution of high performance computing hardware. LÄS MER
Sammanfattning : Computers today are becoming more and more parallel. General purpose processors (CPUs) have multiple processing cores and Single Instruction Multiple Data (SIMD) units for data-parallelism. Graphics processors (GPUs) bring massive parallelism at the cost of being harder to program than CPUs. LÄS MER
Sammanfattning : When writing computer software one is often forced to balance the need for high run-time performance with high programmer productivity. By using a high-level language it is often possible to cut development times, but this typically comes at the cost of reduced run-time performance. LÄS MER