Search results for "GPGPU"

Fourth Workshop on using Emerging Parallel Architectures

2012

AbstractThe Fourth Workshop on Using Emerging Parallel Architectures (WEPA), held in conjunction with ICCS 2012, provides a forum for exploring the capabilities of emerging parallel architectures such as GPUs, FPGAs, Cell B.E., Intel M.I.C. and multicores to accelerate computational science applications.

Yleinen laskenta grafiikkasuorittimilla

2012

Esitellään nykyaikaisten grafiikkasuorittimien rakennetta, toimintaperiaatteita ja tutkitaan OpenCL:ää keinona käyttää niiden laskentakykyä yleisempään laskentaan. Toteutetaan osa JPEG-kuvanpakkausalgoritmia grafiikkasuorittimella OpenCL:n avulla.

Design exploration of aes accelerators on FPGAS and GPUs

2017

The embedded systems are increasingly becoming a key technological component of all kinds of complex tech-nical systems and an exhaustive analysis of the state of the art of all current performance with respect to architectures, design methodologies, test and applications could be very in-teresting. The Advanced Encryption Standard (AES), based on the well-known algorithm Rijndael, is designed to be easily implemented in hardware and software platforms. General purpose computing on graphics processing unit (GPGPU) is an alternative to recongurable accelerators based on FPGA devices. This paper presents a direct comparison between FPGA and GPU used as accelerators for the AES cipher. The res…

GPGPU-säteenseuranta

2012

Säteenseuranta on rinnakkaistuva ja laskentaintensiivinen tapa tuottaa kolmiulotteista tietokonegrafiikkaa. Yleiskäyttöiset grafiikkaprosessorit (GPGPU) ovat tehokkaita rinnakkaislaskentaprosessoreita, joiden avulla voidaan kiihdyttää säteenseurantaa. Tässä tutkielmassa käsitellään säteenseurannan toteuttamista yleiskäyttöisillä grafiikkaprosessoreilla ja esitetään rakenne yksinkertaiselle GPGPU-säteenseurantaohjelmalle. Käsittelyn aiheena ovat myös säteenseurantaa kiihdyttävien menetelmien, kuten kiihdytysrakenteiden, toteuttaminen GPGPU-laskennalla. Ray tracing is a parallel and computationally intensive way of producing three dimensional computer graphics. General-purpose graphics proces…

CUDA-BLASTP: Accelerating BLASTP on CUDA-enabled graphics hardware

2011

Scanning protein sequence database is an often repeated task in computational biology and bioinformatics. However, scanning large protein databases, such as GenBank, with popular tools such as BLASTP requires long runtimes on sequential architectures. Due to the continuing rapid growth of sequence databases, there is a high demand to accelerate this task. In this paper, we demonstrate how GPUs, powered by the Compute Unified Device Architecture (CUDA), can be used as an efficient computational platform to accelerate the BLASTP algorithm. In order to exploit the GPU's capabilities for accelerating BLASTP, we have used a compressed deterministic finite state automaton for hit detection as wel…

Distributed multi-objective optimization methods for shape design using evolutionary algorithms and game strategies

2012

Fast Poisson solvers for graphics processing units

2013

Two block cyclic reduction linear system solvers are considered and implemented using the OpenCL framework. The topics of interest include a simplified scalar cyclic reduction tridiagonal system solver and the impact of increasing the radix-number of the algorithm. Both implementations are tested for the Poisson problem in two and three dimensions, using a Nvidia GTX 580 series GPU and double precision floating-point arithmetic. The numerical results indicate up to 6-fold speed increase in the case of the two-dimensional problems and up to 3- fold speed increase in the case of the three-dimensional problems when compared to equivalent CPU implementations run on a Intel Core i7 quad-core CPU…