News

Poster “Satisfying Data-Intensive Queries Using GPU Clusters” presented by Haicheng Wu at GTC-2013

Posted by on Mar 18, 2013 in News | 0 comments

A poster “Satisfying Data-Intensive Queries Using GPU Clusters” was presented by Haicheng Wu at GPU Technology Conference (GTC-2013) on March 18, 2013. See details here.

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Tutorial “Design Methodologies for Adaptive Circuits and Systems” at DATE-2013

Posted by on Mar 18, 2013 in News | 0 comments

The tutorial “Design Methodologies for Adaptive Circuits and Systems” was presented by Professors  Saibal Mukhopadhyay, Arijit Chowdhary. Abhijit Chatterjee and Sudhakar Yalamanchili at Design, Automation and Test in Europe (DATE-2013) conference and exhibition on March 18, 2013. See the tutorial page here.

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“Accelerating Simulations of Agent Based Models on Heterogeneous Architectures” presented by Jin Wang at GPGPU6

Posted by on Mar 18, 2013 in News | 0 comments

A paper “Accelerating Simulations of Agent Based Models on Heterogeneous Architectures” was presented by Jin Wang on Sixth Workshop on General-Purpose Computation on Graphics Processing Units (GPGPU-6), held with ASPLOS-2013 on March 16, 2013.

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“Relational Algorithms for Multi-Bulk-Synchronous Processors” presented by Haicheng Wu at PPoPP-2013

Posted by on Feb 25, 2013 in News | 0 comments

A poster “Relational Algorithms for Multi-Bulk-Synchronous Processors” was presented by Haicheng Wu at PPoPP-2013 on February 24, 2013. See poster.

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LCL Tutorial at CGO 2013

Posted by on Feb 24, 2013 in News | 0 comments

A joint tutorial showcasing the use of Light-weight Computing Language Framework (LCL) and GPUOcelot was presented on CGO 2013 conference on Feb 24, 2013. For more details, see the tutorial page here.

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GPU Lynx 1.0.0 released!

Posted by on Feb 20, 2013 in News | 0 comments

Official version v1.0.0 of GPU Lynx has been released! GPU Lynx is a dynamic instrumentation framework intended to facilitate the creation and insertion of PTX instrumentation procedures in CUDA applications. This project was developed by Naila Farooqui. For more information, please check the main GPU Lynx project website: http://code.google.com/p/gpulynx/ The release can be downloaded from here: http://code.google.com/p/gpulynx/downloads/list Some documentation that walks through an example instrumentation (with code included) can be found...

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