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2 Hits www.pavo.org.uk

Show text Show cached source Open source URL	SMAVIA Viewing Client has been optimised for the parallel decoding of multiple HD streams on graphics cards (GPU) with Nvidia) CUDA* technology. This allows powerful workstations to decode and display significantly more HD network cameras at the same time and in real time than before.
Compare text pages Compare HTM pages Open source URL Open target URL Define dallmeier.com as primary domain	SMAVIA Viewing Client wurde für die parallele Decodierung mehrerer HD-Streams auf Grafikkarten (GPU) mit Nvidia*) CUDA Technologie optimiert. Damit kann eine leistungsfähige Workstation wesentlich mehr HD-Netzwerkkameras simultan und in Echtzeit dekodieren und anzeigen als zuvor. Für die Anzeige von Panomera® Multifocal-Sensorsystemen wird insbesondere die Grafikkarte Nvidia GeForce GTX 750 empfohlen. Sie ermöglicht den Anschluss von bis zu drei Monitoren und kann auch sehr große Panomera® Ansichten nahtlos darstellen.
Compare text pages Compare HTM pages Open source URL Open target URL Define dallmeier.com as primary domain	SMAVIA Viewing Client ha sido optimizado para la decodificación paralela de varios flujos HD en tarjetas gráficas (GPU) con tecnología CUDA de Nvidia*). Con ello, una estación de trabajo potente puede decodificar y visualizar simultáneamente y en tiempo real muchas más cámaras de red HD que antes. Para la visualización de sistemas de sensores multifocales Panomera® se recomienda en particular la tarjeta gráfica Nvidia GeForce GTX 750. Permite la conexión de hasta tres monitores y puede mostrar incluso grandes vistas de Panomera® sin rupturas.

4 Hits www.tersaci.com.tr

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General paradigms for parallel programming, Using the Threading Building Blocks Library for CPU parallelism, Concepts of the task stealing scheduler, Efficient memory management for parallel systems, General parallelism concepts in TBB, Using CUDA for GPGPU computing, Concepts of GPGPU computing, Writing simple CUDA programs, Synchronization in CUDA, Streaming and overlapping in CUDA.

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Project in an area of expertise of one of our faculty members, e.g. Game Development, Business Information systems, Web Technologies, Mobile Systems, Software Engineering, Networks, Distributed Systems, Embedded Systems, Real-time Systems, Data Bases, Artificial Intelligence, Discrete Optimizations and Algorithms, CAD, ERP Software, Computer Graphics, Interactive Media, Medical Informatics. Topics have to be negotiated individually.

www.zoner.com

Show text Show cached source Open source URL	Zoner Photo Studio can take advantage of the power of a graphics card via CUDA and OpenCL.
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www.in.tum.de

Show text Show cached source Open source URL	Parallelisation of Physics Calculations on GPUs with CUDA
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17 Hits www.motovario.com

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Show text Show cached source Open source URL	Chapter 3. GPU Architecture and the CUDA Programming Model
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www.nakamura-u.ac.jp

Show text Show cached source Open source URL	Introduction to GPU Programming with CUDA
Compare text pages Compare HTM pages Open source URL Open target URL Define be.itu.edu.tr as primary domain	Lisansüstü Öğrenimde Azami Sürelere İlişkin Yeni Düzenleme hk.

ombudsman.ncc-ccn.ca

Show text Show cached source Open source URL	We analyze your algorithms (in C/C++ or other), determine the optimal method for GPU shader processor performance, and deploy GPU porting using CUDA™ or OpenGL®.
Compare text pages Compare HTM pages Open source URL Open target URL Define dmprof.com as primary domain	お客様のアルゴリズム (C/C++等で記述) を解析し、GPUのシェーダープロセッサが処理する上で最適な手法を検討した上で、CUDA™やOpenGL®を用いてGPUポーティングを実施します。

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