AirRaid
2008-04-22 22:00:43 UTC
(Google Translated)
In France, the Grand National Equipment Intensive Computing (Genci)
striking hard since his first supercomputer, one of the first machine
of its kind to use the GPU processing for calculation.
According to our information, the 1068 processors are indeed Nehalem
eight of hearts, and 48 modules are GPU solutions from NVIDIA Tesla.
This will be in addition to a new generation of Tesla, with a very
high probability of the GT200 chip controllers, and even several for
each module (we imagine two, as in the current solutions Tesla
NVIDIA).
In this machine, all the CPU is supposed to produce a powerful
theoretical 103 Tflops, up from 192 Tflops for GPU. With 96 against
GPU 1068 CPU, it is already clear domination of the GPU on the CPU
intensive computing, thanks to its multiple parallel processors flow.
http://www.google.com/translate?u=http%3A%2F%2Fwww.pcinpact.com%2Factu%2Fnews%2F43165-premier-supercalculateur-GPU-France-Tesla.htm&langpair=fr%7Cen&hl=en&ie=UTF8
In France, the Grand National Equipment Intensive Computing (Genci)
striking hard since his first supercomputer, one of the first machine
of its kind to use the GPU processing for calculation.
According to our information, the 1068 processors are indeed Nehalem
eight of hearts, and 48 modules are GPU solutions from NVIDIA Tesla.
This will be in addition to a new generation of Tesla, with a very
high probability of the GT200 chip controllers, and even several for
each module (we imagine two, as in the current solutions Tesla
NVIDIA).
In this machine, all the CPU is supposed to produce a powerful
theoretical 103 Tflops, up from 192 Tflops for GPU. With 96 against
GPU 1068 CPU, it is already clear domination of the GPU on the CPU
intensive computing, thanks to its multiple parallel processors flow.
http://www.google.com/translate?u=http%3A%2F%2Fwww.pcinpact.com%2Factu%2Fnews%2F43165-premier-supercalculateur-GPU-France-Tesla.htm&langpair=fr%7Cen&hl=en&ie=UTF8