Posts Tagged ‘cuda’
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PGI to Demonstrate New CUDA C Compiler at SC10

A bit more information on the upcoming PGI CUDA x86 C compiler is over at GPU Science, including some important details like: It’s a C compiler, to complement their existing CUDA Fortran offerings. Works with AMD and Intel CPUs Utilizes SIMD streaming capabilities And does it all at run-time, meaning a single universal binary can […]

NVidia announces CUDA-x86

Breaking News: On stage at the GTC2010 Keynote, NVidia announced that they are working with PGI, the Portland Group, to develop a new compiler CUDA-x86.  If you don’t have a GPU cluster handy, you can run your CUDA code directly on the CPU for testing and debugging, and even deploy it to users who don’t […]

Industrial Light and Magic & NVIDIA Quadro

Richard Kerris, CTO, ILM, discusses how NVIDIA Quadro GPUs enabled the creation of breakthrough visual effects. Hear how the ILM creative team was able to create life-like simulations of fire for blockbuster movies, including Harry Potter and the Last Air Bender.
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UK Provider Peer 1 offers Free GPU Cloud Access

If you’ve wanted to try some heavy-ended GPU compute, but haven’t had the time or money to build your own superpowered cluster, PEER 1 is here with an interesting offering.  They’re expanding their traditional datacenter and virtualized hosting servies to include GPU cloud support, and for a limited time they are offering free access for […]

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Tech-X Corporation Releases GPULib v1.4

Tech-X has just rev’ed their GPULib product to version 1.4 and added CUDA 3.1 support, as well as new IDLv8 and MATLAB features. GPULib v1.4 supports CUDA streams, enabling concurrent execution of multiple kernels. The product also supports asynchronous data transfer. GPULib now leverages new features of IDL v8.0 enabling more seamless integration between the […]
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NVidia Releases CUDA3.2, NSight 1.5

NVidia has today released the newest version of their popular CUDA Toolkit, version 3.2, that boasts all around performance improvements and several new features.   The new version includes a new Sparse Matrix library ‘CUSPARSE’ to offset the command CUBLAS and CULAPACK libraries that excel at dense matrices.  Also, they have a new GPU-accelerated random-number library […]

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Resource Of The Week 9/1/10: CUDA By Example

This week’s recommended resource is for anyone gearing up for NVidia’s GPU Technology Conference at the end of this month, and comes straight from two senior developers in the CUDA software platform team, the recently released CUDA By Example. CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers […]
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High performance GPU radix sorting in CUDA

Google Code is hosting a project from the University of Virginia that claims to be the fastest ever sorting algorithm, taking advantage of GPU’s. This project implements a very fast, efficient radix sorting method for CUDA-capable devices. For sorting large sequences of fixed-length keys (and values), we believe our sorting primitive to be the fastest […]

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NVIDIA Names Georgia Institute of Technology a CUDA Center of Excellence

NVidia has just announced that the Georgia Institute of Technology, not to be confused with that other ‘git’ thing, has just joined the exclusive ranks of the “CUDA Center of Excellence” universities. “Georgia Tech has a long history of education and research that depends heavily on the parallel processing capabilities that NVIDIA has introduced with […]

High Performance and Scalable GPU Radix Sorting

Over at the NVidia forums, one enterprising researcher has optimized the Radix Sort algorithm to run on the NVidia GPU’s (GTX480 with CUDA) and put it up against previously optimized & published results from NVidia.  The results are staggering. This project implements a very fast, efficient radix sorting method for CUDA-capable devices. For sorting large […]

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NVidia Releases Parallel Nsight To The Masses

NVidia’s Nsight GPU Debugging tool has been in beta for a few months, but no longer as NVidia today has announced it entering the mainstream as a production tool for CUDA debugging.  Right now you can head on over to the NSight page and get NSight 1.0 for free for all your CUDA, C/C++, and […]
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Simulating Elements for the Last Airbender with NVidia GPUs

The Last Airbender required several lengthy computations of fluid-like effects for the water and fire scenes, which were becoming problematic for ILM as the scenes required lengthy computation and render times.  Using their in-house tool called Plume, they were able to harness NVidia CUDA and GPU’s to dramatic effect. “As with everything in high-end visual […]