high performance computing on graphics processing units: hgpu.org

In this paper we present importance-driven compositing window management, which considers windows not only as basic rectangular shapes but also integrates the importance of the windows’ content using a bottom-up visual attention model. Based on this information, importance-driven compositing optimizes the spatial window layout for maximum visibility and interactivity of occluded content in combination with […]

We present emph{Task Super scalar}, an abstraction of instruction-level out-of-order pipeline that operates at the task-level. Like ILP pipelines, which uncover parallelism in a sequential instruction stream, task super scalar uncovers task-level parallelism among tasks generated by a sequential thread. Utilizing intuitive programmer annotations of task inputs and outputs, the task super scalar pipeline dynamically […]

Using hardware acceleration via General Programming on stock GPUs (GPGPU), I’ve sped up my algorithms by more than tenfold. This article shows how you can achieve these results too! Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a […]

The Graphics Processing Unit (GPU) is now commonly used for graphics and data-parallel computing. As more and more applications tend to accelerate on the GPU in multi-tasking environments where multiple tasks access the GPU concurrently, operating systems must provide prioritization and isolation capabilities in GPU resource management, particularly in real-time setups. We present TimeGraph, a […]

In todays health care, imaging plays an important role throughout the entire clinical process from diagnostics and treatment planning to surgical procedures and follow up studies. Since most imaging modalities have gone directly digital, with continually increasing resolution, medical image processing has to face the challenges arising from large data volumes. In this paper, we […]

Emerging architectures in embedded space are expected to make use of a diverse mix of multicores, vector-based units, GPU cores and special function accelerators. In order to facilitate mapping onto diverse architectures, different models of computation have been considered. Polyhedral Process Networks (PPNs) have been extensively used in automatic generation of task and pipeline parallel […]

SIMT (Single-Instruction Multiple-Thread) is an emerging programming paradigm for high-performance computational accelerators, pioneered in current and next generation GPUs and hybrid CPUs. We present a domain-specific active-library supported approach to SIMT code generation and optimisation in the field of visual effects. Our approach uses high-level metadata and runtime context to guide and to ensure the […]

Branch predication is a program transformation technique that combines instructions of multiple branches of an if statement into a straight-line sequence and associates each instruction of the sequence with a predicate. The branch predication improves the execution of branch statements on processors that support predicated execution of instruction, e.g., Intel IA-64, because such transformation improves […]

Techniques for applying graphics processing units (GPU) to the general-purpose nongraphics computations proposed in recent years by the companies ATI (AMD FireStream, 2006) and NVIDIA (CUDA: Compute Unified Device Architecture, 2007) have given an impetus to developing algorithms and software packages for solving problems of diffractive optics with the aid of the GPU. The computations […]

While using a single GPU is fairly easy, using multiple CPUs and GPUs potentially distributed over multiple machines is hard because data needs to be kept consistent using message exchange and the load needs to be balanced. We propose (1) an array package that provides partitioned and replicated arrays and (2) a compute-device library to […]

Hybrid parallel multicore architectures based on graphics processing units (GPUs) can provide tremendous computing power. Current NVIDIA and AMD Graphics Product Group hardware display a peak performance of hundreds of gigaflops. However, exploiting GPUs from existing applications is a difficult task that requires non-portable rewriting of the code. In this paper, we present HMPP, a […]

There are strong indications that the future of interactive graphics programming is a more flexible model than today’s OpenGL/Direct3D pipelines. Graphics developers need a basic understanding of how to combine emerging parallel programming techniques and more flexible graphics processors with the traditional interactive rendering pipeline. As the first in a series, this course introduces the […]