high performance computing on graphics processing units: hgpu.org

Parallel processing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently. Parallelism has been employed for many years, mainly in high-performance computing. As power consumption by Computer has become a concern in […]

Size matters. Human perception most naturally relates relative extent, area or volume to importance, nearness and weight. Reversely, conveying importance of something by depicting it at a different size is a classic artistic principle, in particular when importance varies across a domain. One striking example is the neuronal homunculus; a human figure where the size […]

The Multi-threaded Adaptive Optics Simulator (MAOS) was developed at TMT to efficiently simulate various kind of AO systems. In particular, it can finish a time step of full end-to-end simulation of an ELT size multi-conjugate AO system in 1 second on 8 contemporary cpu cores. We recently ported it to run on graphical processing units […]

The human heart is a vital muscle of the body. Abnormalities in the heart can disrupt its normal operation. One such abnormality that affects the middle layer of the heart wall (myocardium) is called myocardial scars. Just like any tissue in the body, damage to healthy tissue will trigger scar tissue to form. Normally this […]

We present a distributed architecture for accelerated pre-processing of remote sensing data for immediate terrain visualization. Interactive 3D visualization approaches for large terrain datasets employ level of detail techniques that require a multi-resolution data representation. The high computational cost of constructing these representations is often not viewed as a major drawback, as it is considered […]

Cosmological simulations play an important role in understanding the evolution of our universe. Since the experiments on the formation of galaxies cannot be performed in laboratory, simulation is the only way to understand this phenomenon. The cosmological simulations are usually modelled as N-body problems. The Barnes-Hut (BH) tree code algorithm is one of the popular […]

Simulation of the behaviour of a ship operating in pack ice is a computationally intensive process to which General Purpose Computing on Graphical Processing Units (GPGPU) can be applied. In this paper we present an efficient parallel implementation of such a simulator developed using the NVIDIA Compute Unified Device Architecture (CUDA). We have conducted an […]

Source-to-Source optimization is an efficient method to generate, from a basic implementation, a high performance program for the two main challenges that are irregular codes and heterogeneous implementation. In the last decade, general purpose CPUs moved towards multi-core architectures, and the end of the increase in processors frequency marked a turning point obtaining the best […]

At present, multi-core and manycore platforms lead the computer industry, forcing software developers to adopt new programming paradigms, in order to fully exploit their computing capabilities. Nowadays, Graphics Processing Units (GPUs) are one of representatives of many-core architectures, and certainly the most widespread. This paper evaluates and compares tool frameworks that automatically generate code for […]

Processing vast numbers of data streams is a common problem in modern computer systems and is known as the "online big data problem." Adding hard real-time constraints to the processing makes the scheduling problem a very challenging task that this paper aims to address. In such an environment, each data stream is manipulated by a […]

We present a new split-type algorithm for the minimization of a p-harmonic energy with added data fidelity term. The half-quadratic splitting reduces the original problem to two straightforward problems, that can be minimized efficiently. The minimizers to the two sub-problems can typically be computed pointwise and are easily implemented on massively parallel processors. Furthermore the […]

Fast parallel processing capability of general purpose Graphic Processing Units (GPU) can be exploited to accelerate the precoding calculation needed in spatially multiplexed wireless communication systems. In this paper, a GPU-based implementation of the well-known multiuser TomlinsonHarashima precoding (THP) scheme combined with a latticereduction (LR) stage is presented. The proposed approach allows the LR stage […]