writes: When China built the fastest supercomputer based on NVIDIA GPUs last year, a lot naysayers said this was just a stunt machine. Well, guess what — here comes the science! They are working on better material for solar panels and they ran the world's fastest simulation ever! NVIDIA (whose GPUs accelerate these applications as a co-processor) blogged on this a while ago, where they talk about how the US really needs to up its investment in high performance computing.Link to Original Source
writes: Lots of articles at CNET, PC Mag, NVIDIA press release, and NVIDIA blog by chief scientist Bill Dally.
Its the long rumored CPU from NVIDIA and is called "Project Denver". High performance, lower power ARM-based custom CPUs for personal computers, workstations, and supercomputers. Ties in well with the NVIDIA's GPGPU / CUDA GPU computing strategy.
Its ARM everywhere — Microsoft announced support for Windows on ARM and there are tons of tablet announcements
at CES.Link to Original Source
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..Link to Original Source
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.