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General-Purpose Computation on Graphics Hardware

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GPGPU.org :: General-Purpose computation on Graphics Processing Units | gpgpu.org Reviews
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GPGPU.org :: General-Purpose computation on Graphics Processing Units | gpgpu.org Reviews

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General-Purpose Computation on Graphics Hardware

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OpenCL

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General-Purpose Computation on Graphics Hardware. CUDA and OpenCL Training Courses 2015. June 11th, 2015. 8220;Acceleware offers industry leading training courses for software developers looking to increase their skills in writing or optimizing applications for highly parallel processing. The training focuses on using GPUs for computing and the associated popular programming languages. Download Movies Online. Download and Enjoy Latest Movies 2015. Acceleware’s Training Courses 2015. June 11th, 2015.

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Ph.D. Studentship in Heterogeneous Computing

http://gpgpu.org/2015/06/11/ph-d-studentship-in-heterogeneous-computing

General-Purpose Computation on Graphics Hardware. PhD Studentship in Heterogeneous Computing. June 11th, 2015. Click to share on Twitter (Opens in new window). Click to share on Facebook (Opens in new window). Click to share on Google (Opens in new window). GPGPUorg relies on news submissions from readers like you.

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FFT

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General-Purpose Computation on Graphics Hardware. Efficient FFT mapping on GPU for radar processing application: modeling and implementation. June 11th, 2015. Mohamed Amine Bergach, Emilien Kofman, Robert de Simone, Serge Tissot, Michel Syska. Efficient FFT mapping on GPU for radar processing application: modeling and implementation. Investigation on accelerating FFT-based methods for the EFIE on graphics processors. March 19th, 2013. CUDA Libraries Performance Report Now Available. February 1st, 2011.

4

High-Performance Computing

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General-Purpose Computation on Graphics Hardware. Fine-grained GPU implementation of Assembly-Free Iterative Solver for Finite Element Problems. June 11th, 2015. Jesús Martínez-Frutos, Pedro J. Martínez-Castejón, David Herrero-Pérez, Fine-grained GPU implementation of assembly-free iterative solver for finite element problems. Computers and Structures, Volume 157, September 2015, Pages 9-18, ISSN 0045-7949, http:/ dx.doi.org/10.1016/j.compstruc.2015.05.010. Tags: Finite Element Methods. May 18th, 2015.

5

Events

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General-Purpose Computation on Graphics Hardware. CUDA and OpenCL Training Courses 2015. June 11th, 2015. 8220;Acceleware offers industry leading training courses for software developers looking to increase their skills in writing or optimizing applications for highly parallel processing. The training focuses on using GPUs for computing and the associated popular programming languages. Download Movies Online. Download and Enjoy Latest Movies 2015. Acceleware’s Training Courses 2015. April 22nd, 2015.

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GPURAM: Physx gets integrated into leading engine

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Tuesday, August 19, 2008. Physx gets integrated into leading engine. Nvidia gains further support. Announced plans to further partner with Nvidia on the company's Gamebryo development platform. In an announcement which can be seen as a sizeable win for Nvidia, Emergent will integrate Physx technology into all upcoming versions of the 'industry-leading' Gamebryo. Gamebryo has been optimised for development on the Playstation 3, Xbox 360, Wii and PC . Warhammer Online: Age of Reckoning. It makes sense for ...

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Pcompress Links | The Pseudo Random Bit Bucket

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The Pseudo Random Bit Bucket. My Earlier Blog archive. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. My Earlier Blog archive.

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OCFblog | Category Archives: Uncategorized

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Debating all things related to high performance computing. University of Oxford has a new central HPC resource from OCF. July 23, 2015. By Julian Fielden - data processing, management and storage industry expert. Posted in HPC, data processing. We recently completed a project with the University of Oxford on a new HPC cluster that I’m pleased to be able to share with you. The new cluster is also supporting collaborative projects such as the T2K particle physics experiment. Continue reading →. The Governm...

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OCFblog | Category Archives: Data storage

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Debating all things related to high performance computing. Category Archives: Data storage. Building a career in HPC. October 29, 2015. By Lydia Heck - Guest Author. Posted in Data management. HPC, data processing. You need to keep up with technical developments. Every single day I am now researching the best ways of delivering compute power to those who need it. I recently celebrated 28 years at Durham University and wanted to share with you some of my thoughts on building a career in HPC. Originally 64...

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OCFblog | Category Archives: Data analytics

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Debating all things related to high performance computing. Category Archives: Data analytics. Not sure where to begin with analytics? October 20, 2015. By Chris Brown - data analytics expert. Posted in Big Data. Analytics comes to the fore when disparate items of information are brought together and insight gained from seemingly unconnected data. Deloitte recently compiled a survey of 500 mid-size companies in the USA. Continue reading →. Big data: the perfect storm waiting to be sailed. September 3, 2015.

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OCFblog | Category Archives: Data management

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Debating all things related to high performance computing. Category Archives: Data management. Building a career in HPC. October 29, 2015. By Lydia Heck - Guest Author. Posted in Data management. HPC, data processing. You need to keep up with technical developments. Every single day I am now researching the best ways of delivering compute power to those who need it. I recently celebrated 28 years at Durham University and wanted to share with you some of my thoughts on building a career in HPC. Originally...

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Personal Projects | Make something: Software Engineering to Cooking

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Make something: Software Engineering to Cooking. About Me: Genki Kuroda (黒田元気). How to convert kilometer / liter to mpg: mpg = (km/lt) * 2.35214583. In-Memory Compression by LZMA in C#. RSA Encryption LZMA Compression. Task Coach Weekly Effort Viewer (XHTML, JavaScript, JQuery, AJAX). You can try viewing your last one week efforts by pasting your tsk file in the raw XML section. Or just click the sample button. Weekly XML Schedule Viewer (XHTML, JavaScript, XML, AJAX) Added March 13, 2009. XEN linux-2&#4...

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Multi-core architectures – parting ways | The WorkShop (Blog moved to www.ashwinrajiv.com/blog)

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The WorkShop (Blog moved to www.ashwinrajiv.com/blog). May 24, 2007. Multi-core architectures – parting ways. Posted by Ashwin under processors. From the recent announcements of the chip majors , it seems the catch up games that they have been playing with each other are over. What am I talking about? Computing , the Clearspeed. Accelerators and more recent efforts like the AGEIA PHYSX. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. May 24, 20...

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Confessions of a Speed Junkie (News)

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Confessions of a Speed Junkie (Code Examples)

Confessions of a Speed Junkie (Code Examples). Friday, October 2, 2009. Matrix Multiplication 3 (OpenCL). The memory model for OpenCL applications is strikingly similar to the CUDA memory model (go figure). The only real differences are that CUDA supports texture memory (we didn't get into that in our CUDA examples) and OpenCL provides for a global / constant memory cache (Nvidias new Fermi GPU. Adds a global / constant memory cache). Global Memory (CUDA Global). Constant Memory (CUDA Constant). While it...

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Confessions of a Speed Junkie (Benchmarks)

Confessions of a Speed Junkie (Benchmarks). Friday, August 14, 2009. Binomial Option Model Metrics. The GPU that I am using is an Nvidia C1060 Tesla card. The card is housed in a Dell 690 with a 3.2 GHz Intel Xeon processor, 2G of RAM, and the C1060 installed. The system is running RedHat 5.3 64 bit with Nvidia's 3.0 Beta SDK and appropriate beta driver installed. As you can see from the graph above the fastest version of the model was the CUDA implementation. The CUDA version of the model was 2....What ...

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GPGPU.org :: General-Purpose computation on Graphics Processing Units

General-Purpose Computation on Graphics Hardware. CUDA and OpenCL Training Courses 2015. June 11th, 2015. 8220;Acceleware offers industry leading training courses for software developers looking to increase their skills in writing or optimizing applications for highly parallel processing. The training focuses on using GPUs for computing and the associated popular programming languages. Clients will access our top rated training techniques for parallel programming. Acceleware’s Training Courses 2015.

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GPGPU.RU: Новые публикации | GPGPU.ru

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UHeM GPGPU Systems

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GPGPU・HPC・CUDA | GPUコンピューティング - ユニットコム

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UHeM GPGPU Systems

All applications and any other project related tasks are carried out on NCHPC project administration interface. Click to apply now. Trainings on Fermi Architecture and CUDA and Intel Array Building Blocks. As a part of GPGPU Winter Workshop Timothy Lanfear, a Solution Architect in NVIDIA’s Professional Solutions Group. A workshop on "Parallel Algorithms and Programming on GPUs" will be organized at ITU Informatics Institute on December.

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Introduction - LINQ to CUDA-DB

Add a new page. This is the wiki site for a master thesis on the feasability of creating and storing a database in-memory on a graphics card and using LINQ and GPGPU programming to query this database. The wiki for our previous GPGPU project can be found here. Page revision: 4, last edited: 09 Feb 2009 11:34. Powered by Wikidot.com. Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License. Virtual wargamers' club. Find out what you can do.