high performance computing on graphics processing units: hgpu.org

This thesis addresses the memory efficiency of general-purpose applications running on massively multi-threaded, data-parallel GPU architectures. Although scalable, data-parallel GPU architectures and their associated general-purpose programming models offer impressive computational capability and attractive power budgets, the pace of migrating general-purpose applications to this emerging class of architectures is significantly hindered by the efficiency of memory […]

Acceleration of cryptographic applications on massive parallel computing platforms, such as Graphic Processing Units (GPUs), becomes a real challenge concerning practical implementations. In this paper, we propose a parallel algorithm for Elliptic Curve (EC) point multiplication in order to compute EC cryptography on these platforms. The proposed approach relies on the usage of the Residue […]

Geoscience simulations rely heavily on high performance computing (HPC) systems. To date, many CPU/GPU heterogeneous HPC systems have been established on which many geoscience simulations have been performed. For most of these simulations on GPU clusters, it can be observed that only the GPU’s computational capacity has been exploited to accomplish the arithmetic operations while […]

Simulation of electric cardiac activity requires the solution of a very large system of ordinary differential equations, which requires long computing times. Modern Graphic Processing Units (GPU) are powerful computing devices, which have been used to simulate electric cardiac activity. However, the numerical techniques applied were based on fixed time step. In this paper we […]

We implemented a large-scale cerebellar cortical model composed of more than 100,000 spiking neuron units on a Graphics Processing Unit (GPU). We carried out computer simulations of the model in realtime. We adopted the model to online learning of timing for a humanoid robot.

Achieving accurate interpolation is an important requirement for many signal-processing applications. While nearest-neighbor and linear interpolation methods are popular due to their native GPU support, they unfortunately result in severe undesirable artifacts. Better interpolation methods are known but lack a native GPU support. Yet, a particularly attractive one is prefiltered cubic-spline interpolation. The signal it […]

In this paper the data registration module being a component of semantic simulation engine is shown. An improved implementation of ICP (Iterative Closest Point) algorithm based on GPGPU (General-purpose computing on graphics processing units) is proposed. The main achievement is on-line aliment of two data sets composed of up to 262144 3D points, therefore it […]

Current processor trends of integrating more cores with wider SIMD units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. It is believed by some that traditional approaches to programming do not apply to these modern processors and hence radical new languages must be discovered. […]

Multiple exercise options generalize American-style options as they allow the holder multiple exercise rights and control over the exercise amounts. They arise in both real and financial option applications, such as tolling agreements and swing options which are primarily used in the energy industry. The Forest of Stochastic Meshes is a recently proposed simulation method […]

In advent of multicore era, plain C/C++ programming language can not fully reflect computer architectures any more. Source-to-source transformation helps tailor programs close to contemporary hardwares. We propose a template-based approach to perform transformation for programs with rich static information. The template metaprogramming techniques we present can conduct parallelization and memory hierarchical optimization for specific […]

Four-dimensional Cone Beam Computed Tomography (4D-CBCT) has been developed to provide respiratory phase resolved volumetric imaging in image guided radiation therapy (IGRT). Inadequate number of projections in each phase bin results in low quality 4D-CBCT images with obvious streaking artifacts. In this work, we propose two novel 4D-CBCT algorithms: an iterative reconstruction algorithm and an […]

We present a convex hull algorithm that is accelerated on commodity graphics hardware. We analyze and identify the hurdles of writing a recursive divide and conquer algorithm on the GPU and divise a framework for representing this class of problems. Our framework transforms the recursive splitting step into a permutation step that is well-suited for […]