high performance computing on graphics processing units: hgpu.org

Developing on highly parallel architectures is hard, time consuming, error prone, takes a lot of developers’ focus and effort to producing a production quality application. This is counter productive and results are unknown in advance whether it is worth it to go through such experience. In this work, we will take a complete overview of […]

In the last few years, emergence of High-Performance Computing has largely influenced computer technology in the field of financial analytics, data mining, image/signal processing, simulations and modeling etc. Multi-threading, hyper-threading and other parallel programming technologies, multicore machines, clusters etc. have helped achieve high performance with high availability and high throughput. However, hybrid clusters have been […]

GPUs have evolved to programmable, energy efficient compute accelerators for massively parallel applications. Still, compute power is lost in many applications because of cycles spent on data movement and control instead of computations on actual data. Additional cycles can be lost as well on pipeline stalls due to long latency operations. To improve performance and […]

Monte Carlo based photorealistic image synthesis has proven to be one of the most flexible and powerful rendering techniques, but is plagued with undesirable artifacts known as Monte Carlo noise. We present an adaptive filtering method designed for Monte Carlo rendering systems that counteracts noise while respecting sharp features. The filter operates as a post-process […]

Authors are invited to submit manuscripts that present original unpublished research in all areas of parallel and distributed processing, including the development of experimental or commercial systems. Work focusing on emerging technologies is especially welcome. Topics of interest include, but are not limited to: Parallel and distributed algorithms, focusing on topics such as: numerical, combinatorial, […]

Modern fluid flow simulations can be extremely complex and computationally demanding. Using GPU devices (Graphics Processing Unit) they can execute up to several tens of times faster and simulations can be observed interactively. In this study the basic principles of GPU programming are applied to the implementation of lattice Boltzmann (LB) method. The software that […]

Parallel program has been developed for simulation of Radon progeny behavior in the diffusion chamber. The program executes on general purpose graphics processing unit based on CUDA platform. Algorithm of the sequential version based on Brownian motion and diffusion has been rewritten for parallel use. During development, special attention has been paid to instruction execution […]

Sound synthesis based on physical models of musical instruments is, ultimately, an exercise in numerical simulation. As such, for complex systems of the type seen in musical acoustics, simulation can be a computationally costly undertaking, particularly if simplifying hypotheses, such as those of traveling wave or mode decompositions are not employed. In this paper, large […]

Description of additional functions of hardware and software, which are presented in the structure of new architecture of FERMI graphic processors made by company NVIDIA, was given. Recommendations of their use within the realization of algorithms of scientific and technical calculations by means of the graphic processors were given. Application of the new possibilities of […]

For real-time applications (dynamic data-driven applications systems like computer-assisted surgery, command and control, etc.), it is necessary to design fast or strongly-accelerated computational approaches. Reduced-order modeling (ROM) is a candidate methodology that summarizes all the parameter-dependent PDE solutions into an easy-to-compute condensed form. ROM usually requires an offline learning process that returns the essential components […]

In this paper, a room acoustics simulation using a finite difference approximation on a face-centered cubic (FCC) grid with finite volume impedance boundary conditions is presented. The finite difference scheme is accelerated on an Nvidia Tesla K20 graphics processing unit (GPU) using the CUDA programming language. A performance comparison is made between 27-point finite difference […]

Differential Evolution (DE) algorithms can be used in various fields for problem solving where we need to find an optimal (or close to optimal) solution but we don’t have a clear, straightforward method to compute it. Unfortunately it can take a very long time to produce such a solution when implemented serially or even parallel […]