K2I is proud to be a member of the following organizations...
Coalition for Academic Scientific Computation (CASC) is an educational nonprofit 501(c)(3) organization with 60 member institutions representing many of the nation’s most forward thinking universities and computing centers. CASC is dedicated to advocating the use of the most advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success, as well as develop a diverse and wellprepared 21st century workforce.
HPC University (HPCU) is a virtual organization whose primary goal is to provide a cohesive, persistent, and sustainable on-line environment to share educational and training materials for a continuum of high performance computing environments that span desktop computing capabilities to the highest-end of computing facilities offered by HPC centers. HPC University's resources will guide researchers, educators and students to 1) choose successful paths for HPC learning and workforce development, and 2) contribute high-quality and pedagogically effective materials that allow individuals at all levels and in all fields of study to advance scientific discovery.
The Cray User Group (CUG) is an independent, international corporation of member organizations that own Cray Inc. computer systems. Founded in 1978, CUG was established to facilitate collaboration and information exchange in the high-performance computing (HPC) community. We assist our members in achieving their business and research objectives by providing opportunities to share and discover ideas, solutions, and developments in the effective use of computational tools.
SPXXL is a user group for sites which have large installations of IBM equipment. The focus ofthe SPXXL group is on large-scale scientific/technical computing using IBM hardware. Some of the areas we cover are: Applications, Code Development Tools, Communications, Networking, Parallel I/O, Resource Management, System Administration, and Training. We address topics across a wide range of issues that are important to achieving Petascale scientific/technical computing on scaleable parallel machines.