high performance computing on graphics processing units: hgpu.org

Graphic Processing Units (GPUs) have been growing more and more popular being used for general purpose computations. GPUs are massively parallel processors which make them a much more ideal fit for many algorithms than the CPU is. The drawback to using a GPU to do a computation is that they are much less efficient at […]

We focus on a design-of-experiments methodology for developing empirical performance models of GPU kernels. Recently, we developed an iterative active learning algorithm that adaptively selects parameter configurations in batches for concurrent evaluation on CPU architectures in order to build performance models over the parameter space. In this paper, we illustrate the adoption of the algorithm […]

Over the years, cluster systems have become increasingly heterogeneous by equipping cluster nodes with one or more accelerators such as graphic processing units (GPU). These devices are typically attached to a compute node via PCI Express. As a consequence, batch systems such as TORQUE/Maui and SLURM have been extended to be aware of those additional […]

The Maritime Research Institute Netherlands (MARIN) supplies innovative products for the offshore industry and shipping companies. Among their products are highly realistic, real-time bridge simulators [2], see Figure 1. Currently, the waves are deterministic and are not affected by ships, moles, breakwaters, piers, or any other object. To bring the simulators to the next level, […]

BACKGROUND: Modern cancer research often involves large datasets and the use of sophisticated statistical techniques. Together these add a heavy computational load to the analysis, which is often coupled with issues surrounding data accessibility. Connectivity mapping is an advanced bioinformatic and computational technique dedicated to therapeutics discovery and drug re-purposing around differential gene expression analysis. […]

The objective of this thesis is to compare the suitability of FPGAs, GPUs and DSPs for digital image processing applications. Normalized cross-correlation is used as a benchmark, because this algorithm includes convolution, a common operation in image processing and elsewhere. Normalized cross-correlation is a template matching algorithm that is used to locate predefined objects in […]

We describe a multi-GPU implementation of the Ludwig application, which specialises in simulating of a variety of complex fluids via lattice Boltzmann fluid dynamics coupled to additional physics describing complex fluid constituents. We describe our methodology in augmenting the original CPU version with GPU functionality in a maintainable fashion. We present several optimisations that maximize […]

The heterogeneous parallel computing era has been accompanied by an ever-increasing number of disparate programming models. As a result, improving performance via heterogeneous computing is currently very challenging for application programmers. Domain-specific languages (DSLs) are a potential solution to this problem, as they can provide productivity, performance, and portability within the confines of a specific […]

Graphics Processing Units (GPUs) are high performance co-processors originally intended to improve the use and quality of computer graphics applications. Since researchers and practitioners realized the potential of using GPU for general purpose, their application has been extended to other fields out of computer graphics scope. The main objective of this paper is to evaluate […]

Real time processing for teamwork action recognition is a challenge, due to complex computational models to achieve high system performance. Hence, this paper proposes a framework based on Graphical Processing Units (GPUs) to achieve a significant speed up in the performance of role based activity recognition of teamwork. The framework can be applied in various […]

In wireless sensor network, when these sensors are wrongly placed in an observation region, they can quickly run out of batteries or be disconnected. These incidents may result in huge losses in terms of sensing data from numerous sensors and their costs. For this reason, a number of simulators have been developed as tools for […]

This works focuses on the Hough transform (HT). The HT is mostly used for the detection of lines or curves, but was also generalized for detection of arbitrary shapes. The main theme of this work are line parameterizations, especially the Point-to-Line mappings. These parameterizations share the property, that a point in the image maps onto […]