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
…continue reading Big GPU news at NVIDIA tech conference including first Tegra with CUDA
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
…continue reading Exascale computing: you could do it today if you could supply the power says Nvidia
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
…continue reading NVIDIA Nsight comes to Eclipse for Mac, Linux GPU programming
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
…continue reading Multicore processor wars: NVIDIA squares up to Intel
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
…continue reading NVIDIA CEO Jen-Hsun Huang beats the drum for GPU computing
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
…continue reading GPU computing with NVIDIA in Beijing
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.
…continue reading GPU programming coming to low-power and mobile devices – from EU Mont Blanc supercomputer to smartphones
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
…continue reading GPU Programming for .NET: Tidepowerd’s GPU.NET gets some improvements, more needed
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
…continue reading NVIDIA postpones GPU Technology Conference to Spring 2012
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
…continue reading NVIDIA CUDA 4.0 simplifies GPU programming, aims for mainstream