high performance computing on graphics processing units: hgpu.org

This paper presents a new technique to simultaneously estimate the depth map and the all-in-focus image of a scene, both at super-resolution, from a plenoptic camera. A plenoptic camera uses a microlens array to measure the radiance and direction of all the light rays in a scene. It is composed of nxn microlenses and each […]

Computer graphics cameras lack the finite depth of field (DOF) present in real world ones. This results in all objects being rendered sharp regardless of their depth, reducing the realism of the scene. On top of that, real-world DOF provides a depth cue, that helps the human visual system decode the elements of a scene. […]

Many computer vision applications require fast and accurate 3D measurements. However, despite the advent of powerful computing architectures (e.g., multicore CPU and GPU), most top-ranked dense stereo algorithms rely on global 2D disparity optimization methods that are often too slow for practical use. Moreover, their huge memory requirements are typically not suited to devices with […]

Decoupling capacitor (decap) placement has been widely adopted as an effective way to suppress dynamic power supply noise. Traditional decap budgeting algorithms usually explore the sensitivity-based nonlinear optimizations or conjugate gradient methods, which can be prohibitively expensive for large-scale decap budgeting problems. We present a hierarchical cross entropy (CE) optimization technique for solving the decap […]

A real-time and accurate human detector, C4, is proposed in this paper. C4 achieves 20 fps speed and state-of-the-art detection accuracy, using only one processing thread without resorting to special hardwares like GPU. Real-time accurate human detection is made possible by two contributions. First, we show that contour is exactly what we should capture and […]

Visual exploration is essential to the visualization and analysis of densely sampled 3D DTI fibers in biological speciments, due to the high geometric, spatial, and anatomical complexity of fiber tracts. Previous methods for DTI fiber visualization use zooming, color-mapping, selection, and abstraction to deliver the characteristics of the fibers. However, these schemes mainly focus on […]

Proteins are highly flexible and large amplitude deformations of their structure, also called slow dynamics, are often decisive to their function. We present a two-level rendering approach that enables visualization of slow dynamics of large protein assemblies. Our approach is aligned with a hierarchical model of large scale molecules. Instead of constantly updating positions of […]

High-performance platforms are required by applications that use massive calculations. Actually, desktop accelerators (like the GPUs) form a powerful heterogeneous platform in conjunction with multi-core CPUs. To improve application performance on these hybrid platforms, load-balancing plays an important role to distribute workload. However, such scheduling problem faces challenges since the cost of a task at […]

We propose a novel hardware design for decoding compressed floating-point textures in a graphics processing unit (GPU). Our decoder is based on the NXR texture format, which provides lossy, fixed-rate 6:1 compression for floating-point textures. Our design exploits the constraints of the compressed pixel blocks to produce the correct output using only fixed-point arithmetic. This […]

We propose a two-handed direct manipulation system to achieve complex volume segmentation of CT/MRI data in Augmented Reality with a remote controller attached to a motion tracking cube. At the same time segmented data is displayed by direct volume rendering using a programmable GPU. Our system achieves visualization of real time modification of volume data […]

In this paper, we have reviewed the development in CUDA and the implementation of various distribution that exists in the reliability for MEMS based devices on a CUDA setup. The various distributions can be highly optimized so that the system can be simulated highly on CUDA. We have shown the type of distribution may vary […]

We present the design and implementation of new inexact Newton type Bundle Adjustment algorithms that exploit hardware parallelism for efficiently solving large scale 3D scene reconstruction problems. We explore the use of multicore CPU as well as multicore GPUs for this purpose. We show that overcoming the severe memory and bandwidth limitations of current generation […]