high performance computing on graphics processing units: hgpu.org

In this paper, we propose a real-time video watermarking system on programmable graphics hardware. Real-time video watermarking is important to the use of digital video in legal proceedings, security surveillance, new reportage and commercial video transactions. The watermarking scheme implemented here is based on Wong’s scheme for image watermarking, and is designed to detect and […]

We propose a hybrid method for computing apparent ridges, expressive lines recently introduced by Judd et al. Unlike their original method, which works entirely over the mesh in object space, our method combines object-space and image-space computations and runs partially on the GPU, taking advantage of modern graphic cards processing power and producing faster results […]

A real-time multi-GPU color holographic video display system computes holograms from 3D video of a rigid object. System has three main stages; client, server and optics. 3D coordinate and texture information are kept in client and sent online to the server through the network. In the server stage, with the help of the parallel processing […]

Tomographic image reconstruction, such as the reconstruction of CT projection values, of tomosynthesis data, PET or SPECT events, is computational very demanding. The most time-consuming step is the backprojection which is often limited by the memory bandwidth. Recently, a novel general purpose architecture optimized for distributed computing became available: the Cell Broadband Engine (CBE). Its […]

To facilitate the design of hardware accelerators we have proposed the adoption of the stream-based computing model and the usage of Graphics Processing Units (GPUs) as prototyping platforms. This model exposes the maximum data parallelism available in the applications and decouples computation from memory accesses. In this paper we go a step further in showing […]

One of the most common approaches to avoid complexity while numerically solving stiff ordinary differential equations (ODEs) is approximating them by ignoring the nonlinear terms. While facing stiff partial differential equations (PDEs) the same is done by avoiding/suppressing the nonlinear terms from the Taylor’s series expansion. By so doing, the traditional methods for solving stiff […]

Cost-effective handheld graphics processing units are discussed in the aspects of performance, memory bandwidth, power, and area requirements. The proposed RamP architecture has special features of cost-effective low-power arithmetic units, memory bandwidth reduction, and dynamic power management schemes for handheld GPUs. The detailed design of RamP- VI is explained as an example of the RamP […]

The increasing programability and the high computational power of Graphical Processing Units (GPU) make them attractive to general purpose programming. However, taking full benefit of this execution environment is a challenging task. One of these challenges stem from divergences, a phenomenon that occurs when threads that execute in lock-step are forced to take different program […]

In this paper, we present a new online video-based rendering (VBR) method that creates new views of a scene from uncalibrated cameras. Our method does not require information about the cameras intrinsic parameters. For obtaining a geometrical relation among the cameras, we use projective grid space (PGS) which is 3D space defined by epipolar geometry […]

In this paper we present a real-time simultaneous localization and mapping system which uses a stereo camera as its only input. We combine the benefits of KLT feature tracking, which include high speed and robustness to repetitive features, with wide baseline features, which allow for feature matching after large camera motions. Updating the map of […]

The High Performance Embedded Computing Software Initiative (HPEC-SI) is developing a unified software framework for computation and communication for high performance signal processing tasks on parallel computers. The goal of the program is to address the high cost of software in Department of Defense (DoD) systems by improving the portability and productivity of signal processing […]

Despite recent advances in FPGA, GPU, and general purpose processor technologies, the challenges posed by real-time digital image processing at high resolutions cannot be fully overcome due to insufficient processing capability, inadequate data transport and control mechanisms, and often prohibitively high costs. To address these issues, we proposed a two-phase solution for a real-time film […]