21549234
submission
gupg 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.
1757333
submission
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.
