Search results for "cud"
showing 10 items of 74 documents
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.
Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS
2014
This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-09873-9_57 [Abstract] High-throughput genotyping technologies allow the collection of up to a few million genetic markers (such as SNPs) of an individual within a few minutes of time. Detecting epistasis, such as 2-SNP interactions, in Genome-Wide Association Studies is an important but time consuming operation since statistical computations have to be performed for each pair of measured markers. In this work we present EpistSearch, a parallelized tool that, following the log-linear model appr…
Optimized Parallel Implementation of Face Detection based on GPU component
2015
Display Omitted An algorithm for face detection has been implemented on CPU.An acceleration of this algorithm on GPU migration.Performance of GPU implementation shows the effectiveness of this implementation.Another optimization method on GPU are operated. Face detection is an important aspect for various domains such as: biometrics, video surveillance and human computer interaction. Generally a generic face processing system includes a face detection, or recognition step, as well as tracking and rendering phase. In this paper, we develop a real-time and robust face detection implementation based on GPU component. Face detection is performed by adapting the Viola and Jones algorithm. We hav…
Wizerunek cudzoziemca w świetle Pamiętników z czasów Jana Sobieskiego, króla polskiego, Kazimierza Sarneckiego (1629–1696)
2013
Pamiętnik Kazimierza Sarneckiego należy do najczęściej wykorzystywanych źródeł do epoki Jana III Sobieskiego. Wspomnienia tego rezydenta na dworze Jana III, działającego z poruczenia kanclerza wielkiego litewskiego Karola Stanisława Radziwiłła, uzupełniają fakty znane z pamiętników Philippe Pierre de Noyersa, Philippe Duponta, Francois-Paulina d’Aleyraca i sekretarza ambasady francuskiej kawalera de Mongrillona. Wyróżniają się także dlatego, że mocodawcą Sarneckiego był siostrzeniec monarchy, syn Katarzyny z Sobieskich, primo voto Zasławskiej, a secundo voto Radziwiłłowej. Kazimierzowi Sarneckiemu zawdzięczamy szczegółowy obraz życia codziennego Jana III i jego rodziny w ostatnich latach ży…
Omaggio al cavaliere Pietro Scuderi Bonura (1843-1899), notabile montese al tempo del conte Agostino Pepoli
2019
L’articolo studia alcune preziose e inedite opere d’arte decorativa siciliana del tardo ’800 appartenute al cavaliere Pietro Scuderi Bonura, figura di intellettuale e politico di primo piano, finora poco studiato, nella Monte San Giuliano (antico nome del comune di Erice, in provincia di Trapani) della seconda metà dell’800. Il suo nome storicamente è soprattutto legato alla nota vicenda politica che, tra il 1871 e il 1872, portò alla concessione delle torri del Balio al conte Agostino Sieri Pepoli. Some precious and unpublished works of Sicilian decorative art of the late ’800 are studied in this paper. They belonged to the knight Pietro Scuderi Bonura, an intellectual and a prominent poli…
SVB en el adulto: parada cardiorespiratoria
2010
Procedimiento a seguir ante una parada cardiorespiratoria en el adulto. El sujeto esta inconsciente, no respira y no presenta pulso. Compresiones toracicas y ventilaciones (30:2). Revalorización periódica cada dos minutos, hasta que acude el equipo de soporte vital avanzado.
Accelerating H.264 inter prediction in a GPU by using CUDA
2010
H.264/AVC defines a very efficient algorithm for the inter prediction but it takes too much time. With the emergence of General Purpose Graphics Processing Units (GPGPU), a new door has been opened to support this video algorithm into these small processing units. In this paper, a forward step is developed towards an implementation of the H.264/AVC inter prediction algorithm into a GPU using Compute Unified Device Architecture (CUDA). The results show a negligible rate distortion drop with a time reduction on average up to 93.6%.
Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model
2015
[Abstract] Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies (GWAS) is an important but time consuming operation. Consequently, GPUs have already been used to accelerate these studies, reducing the runtime for moderately-sized datasets to less than 1 hour. However, single-GPU approaches cannot perform large-scale GWAS in reasonable time. In this work we present multiEpistSearch, a tool to detect epistasis that works on GPU clusters. While CUDA is used for parallelization within each GPU, the workload distribution among GPUs is performed with Unified Parallel C++ (UPC++), a novel extension of C++ that follows the Partitioned Global Address Space (PGAS) model…
Faster GPU-Accelerated Smith-Waterman Algorithm with Alignment Backtracking for Short DNA Sequences
2014
In this paper, we present a GPU-accelerated Smith-Waterman (SW) algorithm with Alignment Backtracking, called GSWAB, for short DNA sequences. This algorithm performs all-to-all pairwise alignments and retrieves optimal local alignments on CUDA-enabled GPUs. To facilitate fast alignment backtracking, we have investigated a tile-based SW implementation using the CUDA programming model. This tiled computing pattern enables us to more deeply explore the powerful compute capability of GPUs. We have evaluated the performance of GSWAB on a Kepler-based GeForce GTX Titan graphics card. The results show that GSWAB can achieve a performance of up to 56.8 GCUPS on large-scale datasets. Furthermore, ou…
GSWABE: faster GPU-accelerated sequence alignment with optimal alignment retrieval for short DNA sequences
2014
In this paper, we present GSWABE, a graphics processing unit GPU-accelerated pairwise sequence alignment algorithm for a collection of short DNA sequences. This algorithm supports all-to-all pairwise global, semi-global and local alignment, and retrieves optimal alignments on Compute Unified Device Architecture CUDA-enabled GPUs. All of the three alignment types are based on dynamic programming and share almost the same computational pattern. Thus, we have investigated a general tile-based approach to facilitating fast alignment by deeply exploring the powerful compute capability of CUDA-enabled GPUs. The performance of GSWABE has been evaluated on a Kepler-based Tesla K40 GPU using a varie…