LinkNotes: NVidia

2009-10-02

NVIDIA's Next Generation Chip Architecture 'Fermi'

Nvidia pushes further into mainstream computing

The company, which made its name selling specialty computer graphics chips designed for gaming, on Wednesday demonstrated a new chip architecture code-named "Fermi," which Nvidia's Chief Executive Jen-Hsun Huang said will roll out in the next few months across the company's GeForce, Quadro and Tesla graphics processors.

clipped from www.nvidia.com

The Next Generation CUDA Architecture, Code Named Fermi
The Soul of a Supercomputer in the Body of a GPU

The next generation CUDA architecture, code named “Fermi”, is the most advanced GPU computing architecture ever built. With over three billion transistors and featuring up to 512 CUDA cores, Fermi delivers supercomputing features and performance at 1/10th the cost and 1/20th the power of traditional CPU-only servers.

clipped from www.youtube.com

clipped from www.techtree.com

The new set new technologies that arrive in Fermi architecture are:

C++, complementing existing support for C, Fortran, Java, Python, OpenCL and DirectCompute
ECC, a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale
512 CUDA Cores featuring the new IEEE 754-2008 floating-point standard, surpassing even the most advanced CPUs
8x the peak double precision arithmetic performance over NVIDIA's last generation GPU. Double precision is critical for high-performance computing (HPC) applications such as linear algebra, numerical simulation, and quantum chemistry
NVIDIA Paralle DataCache - the world's first true cache hierarchy in a GPU that speeds up algorithms such as physics solvers, raytracing, and sparse matrix multiplication where data addresses are not known beforehand
NVIDIA GigaThread Engine with support for concurrent kernel execution, where different kernels of the same application context can execute on the GPU at the same time (eg: PhysX fluid and rigid body solvers)
Nexus, the world's first fully integrated heterogeneous computing application development environment within Microsoft Visual Studio

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2009-05-04

Nvidia Tesla Personal Supercomputer

Clipped from: NVidia Tesla:World's first "personal" supercomputer | BT-G.com: The Everything Blog

NVidia Tesla:World’s first “personal” supercomputer

NVidia has come up with “Tesla personal supercomputer” that delivers cluster computing like performance and is upto 250 times faster than the present day personal computers or workstations.
Tesla is powered by 4 GPU’s, each having 240 processing cores (that makes 4*240=960 cores working in parallel in total) based on the NVidia’s CUDA architecture, delivering whopping performance of near 4 Teraflops!

Clipped from: Nvidia Tesla Personal Supercomputer - Wikipedia, the free encyclopedia

The Tesla Personal Supercomputer is a desktop computer that is backed by Nvidia and built by Dell, Lenovo and other companies^[1]. It is meant to be a demonstration of the capabilities of Nvidia's Tesla GPGPU brand; it utilizes NVIDIA's CUDA parallel computing architecture and powered by up to 960 parallel processing cores^[2], which allows it to achieve a performance up to 250 times faster than standard PCs, according to Nvidia. As of January 2009, the Tesla computer platform delivers the best performance among all stand-alone systems being used in distributed computing projetcs like Seti@home or Spinhenge@home.

Clipped from: YouTube - Tesla Personal Supercomputer

At SC08 NVIDIA announces the Tesla™ Personal Supercomputer. Experience cluster level computing performance—up to 250 times faster than standard PCs and workstations—right at your desk.

Clipped from: YouTube - Tomography Research, CUDA and TESLA Personal Supercomputing

Tomography Research, CUDA and TESLA Personal Supercomputing

Joost Batenburg discusses how the University of Antwerp is researching and has already developed practical uses for Tomography using CUDA Technology in industries from Medical Science Imaging and cutting diamonds in order to maximise yields to observing nano structures in 3D.

Clipped from: NVIDIA Tesla Personal Supercomputer

NVIDIA Tesla Personal Supercomputer
Get your own supercomputer. Experience cluster level computing performance—up to 250 times faster than standard PCs and workstations—right at your desk. The NVIDIA® Tesla™ Personal Supercomputer is based on the revolutionary NVIDIA® CUDA™ parallel computing architecture and powered by up to 960 parallel processing cores.

Clipped from: Tech Specs

Tesla Architecture

* Massively-parallel many-core architecture
* 240 scalar processor cores per GPU
* Integer, single-precision and double-precision floating point operations
* Hardware Thread Execution Manager enables thousands of concurrent threads per GPU
* Parallel shared memory enables processor cores to collaborate on shared information at local cache performance
* Ultra-fast GPU memory access with 102 GB/s peak bandwidth per GPU
* IEEE 754 single-precision and double-precision floating point
* Each Tesla C1060 GPU delivers 933 GFlops Single Precision and 78 GFlops Double Precision performance

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