high performance computing on graphics processing units: hgpu.org

The CCTV surveillance industry is undergoing a sea change due to the adoption of IP technologies. This is allowing the integration of a plethora of new cameras and other sensors into huge integrated networks. Adoption of IP technologies is presenting opportunities for scalable visual analytics that has the potential to add enormous value to entire […]

We consider the popular TV-L^1 optical flow formulation, and the so-called duality based algorithm for minimizing the TV-L^1 energy. The original formulation is extended to allow for vector valued images, and minimization results are given. In addition we consider different definitions of total variation regularization, and related formulations of the optical flow problem that may […]

We discuss the benefits, difficulties, and performance of a GPU implementation of the Chambolle-Pock algorithm for TGV (total generalised variation) denoising of medical diffusion tensor images. Whereas we have previously studied the denoising of 2D slices of $2 times 2$ and $3 times 3$ tensors, attaining satisfactory performance on a normal CPU, here we concentrate […]

The precise estimation of dynamic power consumption, power droop and temperature development during scan test require a very large number of time-aware gate-level logic simulations. Until now, such characterizations have been feasible only for rather small designs or with reduced precision due to the high computational demands. We propose a new, throughput-optimized timing simulator on […]

Flipping is a local and efficient operation to construct the convex hull in an incremental fashion. However, it is known that the traditional flip algorithm is not able to compute the convex hull when applied to a polyhedron in R3. Our novel Flip-Flop algorithm is a variant of the flip algorithm. It overcomes the deficiency […]

The level-set method is one of the most popular techniques for capturing and tracking deformable interfaces. Although level sets have demonstrated great potential in visualization and computer graphics applications, such as surface editing and physically based modeling, their use for interactive simulations has been limited due to the high computational demands involved. In this paper, […]

Modern parallel computing devices such as the graphics processing unit (GPU) have gained significant traction in scientific computing, and are particularly well-suited to data-parallel algorithms such as the particle filter. Of the components of the particle filter, the resampling step is the most difficult to implement well on such devices, as it often requires a […]

Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing including design and analysis of parallel and distributed systems, embedded systems, and their applications in scientific, engineering, and commercial areas. Topics of interest include but are not limited to: * High-Performance Computing * Parallel and […]

The HPEC charter is to be the premier conference in the world on the confluence of HPC and Embedded Computing. The High Performance Extreme Computing (HPEC) technical committee announces the Seventeenth Annual HPEC conference to be held 24–26 September 2013 at the Westin Hotel in Waltham, Massachusetts. The technical committee seeks new presentations that clearly […]

General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a […]

GPUs employ thousands of threads per core to achieve high throughput. These threads exhibit localities in control-flow, instruction and data addresses and values. In this study we investigate inter-warp instruction temporal locality and show that during short intervals a significant share of fetched instructions are fetched unnecessarily. This observation provides several opportunities to enhance GPUs. […]

In this paper, we discuss a novel approach of improving the performance and accuracy of parallelization compilers by utilizing massively parallel processing power of GPGPU (General Purpose Graphical Processing Units). With the advent of multi core processors, it has become necessary to use parallel programming methodologies. However, parallel programmers need tools that can provide support […]