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Graphics

NVIDIA Shows Off "Optimus" Switchable Graphics For Notebooks 102

Posted by Soulskill from the that's-some-prime-namespace dept.
Vigile writes "Transformers jokes aside, NVIDIA's newest technology offering hopes to radically change the way notebook computers are built and how customers use them. The promise of both extended battery life and high performance mobile computing has seemed like a pipe dream, and even the most recent updates to 'switchable graphics' left much to be desired in terms of the user experience. Having both an integrated and discrete graphics chip in your notebook does little good if you never switch between the two. Optimus allows the system to seamlessly and instantly change between IGP and discrete NVIDIA GPUs based on the task being run, including games, GPU encoding or Flash video playback. Using new software and hardware technology, notebooks using Optimus can power on and pass control to the GPU in a matter of 300ms and power both the GPU and PCIe lanes completely off when not in use. This can be done without being forced to reboot or even close out your applications, making it a hands-free solution for the customer."
Programming

An Open Source Compiler From CUDA To X86-Multicore 71

Posted by timothy from the abstraction-gains-a-layer dept.
Gregory Diamos writes "An open source project, Ocelot, has recently released a just-in-time compiler for CUDA, allowing the same programs to be run on NVIDIA GPUs or x86 CPUs and providing an alternative to OpenCL. A description of the compiler was recently posted on the NVIDIA forums. The compiler works by translating GPU instructions to LLVM and then generating native code for any LLVM target. It has been validated against over 100 CUDA applications. All of the code is available under the New BSD license."

Submission + - More effective virus/SPAM scanning using GPUs (kaspersky.com)

Submitted by gupg
gupg writes: Kaspersky Labs announced that they’re leveraging GPU computing (CUDA) with NVIDIA Tesla GPUs to dramatically improve the performance of their security software solutions by *360 times* when compared to a Core2 Duo. Now thats a big speedup! There are other previous works like ClamAV on GPU and SNORT on GPU.

Kaspersky Lab uses the NVIDIA Tesla S1070 1U GPU system to accelerate the screening of malicious programs using a unique file similarity detection technology. When the Kaspersky anti-virus software on a computer suspects that a file may be malicious, even though it may not match any known virus signatures, the software uploads this file to the Kaspersky Lab data center. The server software then compares the suspected file against more than 50 million known good files and programs. Using complex anti-virus and SPAM detection algorithms, Kaspersky’s server software identifies the risk level of the suspected file and informs the client computer on what kind of preventive action to take..

Comment x86 processors were never designed for HPC (Score 1) 251

by gupg (#26100679) Attached to: IEEE Says Multicore is Bad News For Supercomputers

Note the comment from
Steve Conway from IDC

Steve Conway, senior analyst with IDC for high performance computing issues, said this problem has been around for a while, and multi-core is only exacerbating it. "x86 processors were never designed for HPC," he told InternetNews.com. "Those processors were not designed to communicate with each other at a high speed. With these big systems, you have to move data over large territories.
Supercomputing

Submission + - NVIDIA's Tesla GPU Personal Supercomputer ($10K)

Submitted by gupg
gupg writes: NVIDIA announced a new category of supercomputers — the Tesla Personal Supercomputer — a 4 Teraflop desktop for under $10,000. This desktop machine has 4 of the Tesla C1060 GPU computing processors. These GPUs have no graphics out and are used only for computing. Each Tesla GPU has 240 cores and delivers about 1 Teraflop single precision and about 80 Gigaflops double precision floating point performance. The CPU + GPU is programmed using C with added keywords using a parallel programming model called CUDA. The CUDA C compiler/development toolchain is free to download. There are tons of applications ported to CUDA including Mathematica, LabView, ANSYS Mechanical, and tons of scientific codes from molecular dynamics, quantum chemistry, electromagnetics and are listed on CUDA Zone.

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