Team applications are now being accepted for the SC14 Student Cluster Competition. “The energy and dedication that the student teams bring to the Student Cluster Competition is inspiring, especially as they work around the clock to overcome obstacles and get their systems up and running,” said Student Cluster Competition Chair Dustin Leverman of Oak Ridge National Laboratory. “Though they are competing all out against one another, the teams also share a camaraderie as they race to the end.”
Ralph H. Castain from Intel presented this talk at the Adaptive Computing booth at SC13. “The solution allows customers to leverage both their HPC and big data investments in a single platform, as opposed to operating them in siloed environments. The convergence between big data and HPC environments will only grow stronger as organizations demand data processing models capable of extracting the results required to make data-driven decisions.”
Frank Ham from Cascade Technologies presented this talk at the 2014 HPCAC Stanford HPC & Exascale Conference. “On an annual basis, the US government awards 10′s of billions of HPC core-hours to projects seeking to answer questions in science and engineering through large-scale simulations. In this talk, I will share several examples of insights into flow physics phenomena achieved through these programs.”
In this video from the TCC Conference, Rich Brueckner from insideHPC describes the convergence of Big Data and HPC. “While the term Big Data has become pervasive in Information Technology, many in the industry are still puzzled by how to make money from this phenomenon. In this talk, Brueckner will look at what’s really behind Big Data as an engine for change with case studies that are bringing the full potential of Big Data home.”
Burak Yenier presented this talk at the Stanford HPC Conference. “The UberCloud HPC Experiment brings together over 1000 participants to pave the way for HPC as a Service. Active project teams explore the end-to-end process of accessing remote computing resources in HPC centers and in HPC Clouds to study and overcome the potential roadblocks for industry applications such as CAE, Bio, and Life Sciences.”
In this video from the Adaptive Computing booth at SC13, Brian Andrus from the Naval Postgraduate School presents: Supporting Multiple Researchers Using Moab. To support professors, students, and collaborators, the school’s HPC environment includes a diverse set of x86 processors, accelerators, compilers, and more.