high performance computing on graphics processing units: hgpu.org

A novel method for real-time simulation of indirect illumination is presented in this paper. The method, which we call direct radiance mapping (DRM), is based on basal radiance calculations and does not impose any restrictions on scene geometry or dynamics. This makes the method tractable for real-time rendering of arbitrary dynamic environments and for interactive […]

To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the application runs on regular cores while only specific parts are offloaded on accelerators are not sufficient. The real challenge is to build systems where the application would permanently spread […]

Transparency is an important graphics effect that can be used to significantly increase the realism of the rendered scene or to enable more effective visual inspection in engineering visualization. In this paper, we propose achieving interactive transparency rendering of a static scene by sorting the triangles in back-to-front order on CPU and supplying the sorted […]

In this paper, we discuss our approach on the GPU implementation of the Discontinuous Galerkin Time-Domain (DGTD) method to solve the time dependent Maxwell’s equations. We exploit the inherent DGTD parallelism and combine the GPU computing capabilities with the benefits of a local time-stepping strategy. The combination results in significant increase in efficiency and reduction […]

Point-based geometries evolved into a valuable alternative to surface representations based on polygonal meshes, because of their conceptual simplicity and superior flexibility. Elliptical surface splats were shown to allow for high-quality anti-aliased rendering by sophisticated EWA filtering. Since the publication of the original software-based EWA splatting, several authors tried to map this technique to the […]

Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encountered in this class of applications is the time required to carry out repetitive operations on large matrices. Partitioning these large datasets can help improve performance, and lends the data to more efficient parallel […]

We present an energy model for a graphics processing unit (GPU) that is based on the amount and type of work performed in various parts of the unit. By designing and running directed tests on a GPU, we measure the energy consumed when performing different arithmetic and memory operations, allowing us to accurately predict the […]

Now high-throughput sequencing technologies can yield a huge volume of sequence data with affordable price, the explosion rate of sequence data is outpacing the performance improvement of CPU, which means trivial sequence analysis task may challenge existing serial programs running purely on CPU. This paper depicts a highly parallel sequence translation program running on a […]

This paper proposes a GPU-accelerated patch search engine that efficiently Alls the unknown regions of an image caused by replacement or removal of part of the foreground. Previous approaches, such as inpainting and texture synthesis, are either fast, but not applicable for small-scale regions, or slow, but fills large regions with good quality. The algorithm […]

In this paper we present a method to compute and visualize volumetric white matter connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) using a Hamilton-Jacobi (H-J) solver on the GPU (graphics processing unit). Paths through the volume are assigned costs that are lower if they are consistent with the preferred diffusion directions. The proposed method […]

Sort-last parallel rendering is an efficient technique to visualize huge datasets on COTS clusters. The dataset is subdivided and distributed across the cluster nodes. For every frame, each node renders a full resolution image of its data using its local GPU, and the images are composited together using a parallel image compositing algorithm. In this […]

Graphic Processing Units (GPUs) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for large-scale system design and simulation. In this paper, we utilize the parallel processing power of GPU to accelerate the simulation of MIMO systems. In our work, flat fading channel is considered and an […]