Big GPU news at NVIDIA tech conference including first Tegra with CUDA

NVIDIA CEO Jen-Hsun Huang made a number of announcements at the GPU Technology Conference (GTC) keynote yesterday, including an updated roadmap for both desktop and mobile GPUs.

Although the focus of the GTC is on high-performance computing using Tesla GPU accelerator boards, Huang’s announcements were not limited to that area but also covered the

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Exascale computing: you could do it today if you could supply the power says Nvidia

Nvidia’s Bill Dally has posted about the company’s progress towards exascale computing, boosted by a $12.4 million grant from the U.S. Department of Energy. He mentions that it would be possible to build an exascale supercomputer today, if you could supply enough power:

Exascale systems will perform a quintillion floating point calculations per second (that’s

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NVIDIA Nsight comes to Eclipse for Mac, Linux GPU programming

NVIDIA has ported its Nsight development tools, previously a plug-in for Visual Studio, to run within the open source Eclipse IDE for use on Mac and Linux.

The Nsight tools include profiling, refactoring, syntax highlighting and auto-completion, as well as a bunch of code samples.

The Windows version for Visual Studio has also been

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Multicore processor wars: NVIDIA squares up to Intel

I first became aware of NVIDIA’s propaganda war against Intel at the 2012 GPU Technology conference in Beijing. CEO Jen-Hsun Huang stated that CPUs are remarkably inefficient for multicore processing:

The CPU is fast and is terrific at single-threaded performance, but because so much of the electronics inside the CPU is dedicated to out of

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NVIDIA CEO Jen-Hsun Huang beats the drum for GPU computing

In his keynote at the GPU Technology Conference here in Beijing NVIIDA CEO Jens-Hsun Huang presented the simple logic of GPU computing. The main constraint on computing is power consumption, he said:

Power is now the limiter of every computing platform, from cellphones to PCs and even datacenters.

CPUs are optimized for single-threaded computing and

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GPU computing with NVIDIA in Beijing

I’m in Beijing for NVIDIA’s GPU Technology Conference; I attended last year’s event in San Jose and found it fascinating, partly because it has an academic and research flavour with a huge variety of projects on display.

This year the event is in Beijing, reflecting the level of HPC (High Performance Computing) activity in

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GPU programming coming to low-power and mobile devices – from EU Mont Blanc supercomputer to smartphones

Supercomputing and low-power computing are not normally associated; but at the SC11 Supercomputing conference the Barcelona Supercomputing Center (BSC) has announced a new supercomputer, called the called the Mont-Blanc Project, which will combine the ARM-based NVIDIA Tegra SoC with separate CUDA GPUs. CUDA is NVIDIA’s parallel computing architecture, enabling general purpose computing on the GPU.

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GPU Programming for .NET: Tidepowerd’s GPU.NET gets some improvements, more needed

When I attended the 2010 GPU programming conference hosted by NVIDIA I encounted Tidepowerd, which has a .NET library called GPU.NET for GPU programming.

GPU programming enables amazing performance improvements for certain types of code. Most GPU programming is done in C/C++, but Typepowerd lets you run code in .NET, simply marking any methods you

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NVIDIA postpones GPU Technology Conference to Spring 2012

NVIDIA is postponing its GPU Technology Conference, which was set for October 2011 to a date yet to be announced in April or May 2012, in the San Francisco Bay Area.

What’s the reason? This is what its email newsletter says:

To better align our flagship North American GTC with our growing number of GTC

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NVIDIA CUDA 4.0 simplifies GPU programming, aims for mainstream

NVIDIA has announced CUDA 4.0, a major update to its C++ toolkit for general programming on the GPU. The idea is to take advantage of the many cores of NVIDIA’s GPUs for speeding up tasks that may not be graphic-related.

There are three key features:

Unified Virtual Addressing provides a single address space for the

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