high performance computing on graphics processing units: hgpu.org

GPU Shape Grammars provide a solution for interactive procedural generation, tuning and visualization of massive environment elements for both video games and production rendering. Our technique generates detailed models without explicit geometry storage. To this end we reformulate the grammar expansion for generation of detailed models at the tesselation control and geometry shader stages. Using […]

FPGAs can potentially deliver tremendous acceleration in high-performance server and embedded computing applications. Whether used to augment a processor or as a stand-alone device, these reconfigurable architectures are being deployed in a large number of implementations owing to the massive amounts of parallelism offered. At the same time, a significant challenge encountered in their wide-spread […]

In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage the power of graphic processing units (GPUs). In the construction of the hierarchical coarse grid, we use a simple and fixed coarsening procedure based on a region quadtree generated from an auxiliary grid. This allows us to explicitly control […]

In the cryptanalytic context, computing discrete logarithms in large cyclic groups using index-calculus-based methods, such as the number field sieve or the function field sieve, requires solving large sparse systems of linear equations modulo the group order. Most of the fast algorithms used to solve such systems — e.g., the conjugate gradient or the Lanczos […]

This thesis explores the design and experimental implementation of GPF, a novel protocol-independent, multi-match packet classification framework. This framework is targeted and optimised for flexible, efficient execution on NVIDIA GPU platforms through the CUDA API, but should not be difficult to port to other platforms, such as OpenCL, in the future. GPF was conceived and […]

GPU is continuing its trend of vastly outperforming CPU while becoming more general purpose. In order to improve the efficiency of AES algorithm, this paper proposed a CUDA implementation of Electronic Codebook (ECB) mode encoding process and Cipher Feedback (CBC) mode decoding process on GPU. In our implementation, the frequently accessed T-boxes were allocated on […]

Database searching is a main method for protein identification in shotgun proteomics, and many research efforts are dedicated to improving its effectiveness. However, the efficiency of database searching is facing a serious challenge, due to the ever fast growth of protein and peptide databases resulted from genome translations, enzymatic digestions, and post-translational modifications (PTMs). On […]

Lamberts problem is concerned with the determination of an orbit that connects two position vectors within a specified time of flight. It must often be solved millions of times, especially when one is conducting global searches for possible gravity assist missions, which requires fast efficient solutions. The orbital targeting problem lends itself well to parallel […]

General purpose computing on graphic processing units (GPU) is a potential method of speeding up scientific computation with low cost and high energy efficiency. We experimented with the particle physics simulation toolkit Geant4 used at CERN to benchmark its geometry navigation functionality on a GPU. The goal was to find out whether Geant4 physics simulations […]

Conference EI20D This conference is intended to bring together world class researchers and practitioners that develop and deploy imaging technologies to enable novel solutions for mobile photography. Submissions are accepted on theory, application, and experience. The scope of the conference includes: Computation * computational image enhancement (e.g., noise reduction, super resolution, image stabilization) * computational […]

The Compute Unified Device Architecture (CUDA) is a brand new parallel processing platform making use of the unified shader design of the most current Graphics Processing Units (GPUs) from NVIDIA. In this paper, we apply this revolutionary new technology to implement the sound speed optimization (SSO) with image texture analysis for medical ultrasound imaging. The […]

We present an implementation of a Vlasov-Maxwell solver for multicore processors. The Vlasov equation describes the evolution of charged particles in an electromagnetic field, solution of the Maxwell equations. The Vlasov equation is solved by a Particle-In-Cell method (PIC), while the Maxwell system is computed by a Discontinuous Galerkin method. We use the OpenCL framework, […]