Sökning: "GPU programming"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden GPU programming.

  1. 1. Skeleton Programming for Heterogeneous GPU-based Systems

    Författare :Usman Dastgeer; Christoph Kessler; Kristian Sandahl; Sergei Gorlatch; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Skeleton programming; GPU programming; SkePU; performance; portability; Computer science; Datavetenskap;

    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

  2. 2. Obsidian: GPU Kernel Programming in Haskell

    Författare :Joel Bo Svensson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ; Haskell; data-parallelism; GPGPU; DSL; CUDA; parallelism; Obsidian; GPU; NVIDIA; Language design; EDSL;

    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

  3. 3. Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems

    Författare :Lu Li; Christoph Kessler; Welf Löwe; Thomas Fahringer; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; CPU; GPU; GPGPU; heterogeneous systems; programming abstraction; performance optimization; energy optimization; adaptive sampling; MeterPU; TunerPU; XPDL; VectorPU;

    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

  4. 4. Embedded Languages for Data-Parallel Programming

    Författare :Joel Bo Svensson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Graphics Processing Units; Data-parallelism; Functional Programming; Embedded languages;

    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

  5. 5. High-Level GPU Programming: Domain-Specific Optimization and Inference

    Författare :Calle Lejdfors; Institutionen för datavetenskap; []

    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