high performance computing on graphics processing units: hgpu.org

In this thesis, well-balanced, central-upwind high-resolution methods of high order are developed for the two-dimensional shallow water equations, on the graphics processing unit (GPU). The methods are based on a fifth-order Weighted Essentially Non-Oscillating (WENO) reconstruction technique and a fourth-order Gaussian quadrature for the one-sided interface fluxes. Two schemes are implemented, one with bilinear interpolation […]

This thesis reviews the fast marching method as a technique for computing the distance transform on GPU in the context of a radiotherapy planning software. The method has some interesting characteristics that, given the right circumstances, allow the distance transform to be computed for fewer voxels than commonly used alternatives. This can result in beneficial […]

An efficient computation of ontology mappings requires optimized algorithms and significant computing resources especially for large life science ontologies. We describe how we optimized n-gram matching for computing the similarity of concept names and synonyms in our match system GOMMA. Furthermore, we outline how to enable a highly parallel string matching on Graphical Processing Units […]

In the last decade a new generation of telescopes and sensors has allowed the production of a very large amount of data and astronomy has become, a data-rich science; this transition is often labeled as: "data revolution" and "data tsunami". The first locution puts emphasis on the expectations of the astronomers while the second stresses, […]

As computing power of GPU increases dramatically, the GPU is widely used for general-purpose parallel applications as well as graphics applications. Especially, programmers using the GPU can easily create multiple threads with the help of APIs provided by GPU vendors. In GPU architecture, threads are grouped into a warp to run on the SIMD pipeline, […]

Among several techniques available for solving Computational Electromagnetics (CEM) problems, the Finite Difference Time Domain (FDTD) method is one of the best suited approaches when a parallelized hardware platform is used. In this paper we investigate the feasibility of implementing the FDTD method using the NVIDIA GT 520, a low cost Graphical Processing Unit (GPU), […]

AMD is excited to bring together technology influencers from all over the world to share their vision and strategy for an open-standard heterogeneous computing ecosystem. Last year’s AMD Developer Summit saw the formation of the Heterogeneous System Architecture (HSA) Foundation. In 2011, Microsoft announced c++AMP, and AMD first revealed its Graphics Core Next Architecture. This […]

QUAD stream cipher uses multivariate polynomial systems. It has provable security based on the computational hardness assumption. More specifically, the security of QUAD depends on hardness of solving non-linear multivariate systems over a finite field, and it is known as an NP-complete problem. However, QUAD is slower than other stream ciphers, and an efficient implementation, […]

The resolution of dynamics in out of equilibrium quantum spin systems relies at the heart of fundamental questions among Quantum Information Processing, Statistical Mechanics and Nano-Technologies. Efficient computational simulations of interacting many-spin systems are extremely valuable tools for tackling such questions. Here, we use the Trotter-Suzuki (TS) algorithm, a well-known strategy that provides the evolution […]

In recent years, graphics processing units (GPUs) became more and more popular as high performance processing units. Due to the availability of hundreds of cores, code fragments speed up significantly when they are transformed from CPU functions to GPU kernels. The transformation process is non-trivial and therefore error prone. Developing correct and efficient GPU accelerated […]

How can parallel computing topics be incorporated into core courses that are taken by the majority of undergraduate students? This paper reports our experiences adding GPU computing with CUDA into the core undergraduate computer organization course at two different colleges. We have found that even though programming in CUDA is not necessarily easy, programmer control […]

One of the first steps in embedded-system design flow is to choose the most efficient implementation of the embedded software application. However, this is difficult to do at the earliest design stages because particular details of the final manycore HW platform are usually unknown and many possible mappings of the software tasks/threads have to be […]