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 quantum chemistry.
The GPU support in Gaussian will be enabled, in part, through use of The Portland Group’s PGI CUDA Fortran Compiler. With CUDA Fortran, it is almost trivial to modify existing Fortran code to define subroutines that execute in parallel on a GPU.
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About Marc Hamilton
Marc Hamilton – Hyperscale Business Unit, HP Enterprise Group.
Marc works in the Hyperscale Business Unit within HP's Enterprise Group where he leads the HPC team for the Americas region. He brings more than 26 years of global engineering, sales and executive management experience to HP. Marc’s team works across HP engineering, marketing, and sales organizations as well as HP Labs to design, develop, and deliver world class HPC systems, ranging from some of the world’s fastest supercomputers installed at national research labs and leading universities to commercial HPC systems across a variety of industries including energy, manufacturing, financial services, and life sciences.
Prior to joining HP in October 2010, Marc spent 16 years at Sun Microsystems and Oracle in HPC and other sales and marketing executive management roles. At Sun, his team built a number of systems that placed in the top 10 of the Top500 list of the world’s fastest supercomputers, including systems at Sandia National Labs, Texas Advanced Computing Center (TACC), Germany’s Juelich supercomputing center, and the Tokyo Institute of Technology.
Prior to Sun, Marc worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
