Both my kids have developed a passion for science, each in their
own unique ways. One of my observations about today’s generation
of scientists is that they are both much more interdisciplinary
as well as more aware of the computational implications of their
work. Much scientific work is already being accelerated today
with GPU computing solutions based on HP ProLiant servers. For
instance, the Nvidia GPU Starter Kit from HP delivers 10,752 GPU
compute cores in less than half a rack of compute space at under
$10/core! Factory configured with HP’s Linux HPC Value Pack, HP
Cluster Management Utility, and the latest CUDA 4.0 software,
there is no quicker way to get started in GPU computing. CUDA
4.0 makes it easier than ever for developers to take advantage
of the disruptive performance/$/watt of GPUs and new GPU
accelerated commercial applications are announced every day,
such as today’s announcement to develop a future GPU-accelerated
release of Gaussian, one of the world’s leading software
application for qua