In this slidecast, Rob Clyde from Adaptive Computing describes Big Workflow — the convergence of Cloud, Big Data, and HPC in enterprise computing. “The explosion of big data, coupled with the collisions of HPC and cloud, is driving the evolution of big data analytics,” said Rob Clyde, CEO of Adaptive Computing. “A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage.”
Jacqueline H. Chen from Sandia presented this talk at the Stanford HPC Conference. “Co-Design of Exascale Simulation of Combustion in Turbulence (ExaCT). “The mission of co-design within the Center for Exascale Simulation of Combustion in Turbulence (ExaCT) is to absorb the sweeping changes necessary for exascale computing into software and ensure that the hardware is developed to meet the requirements to perform direct numerial simulations of turbulent combustion at actual thermo-chemical conditions of combustors.”
Intel’s Mark Seager presented this talk at 2014 HPC Advisory Council Stanford Conference. “In this talk, we will review the many challenges of building practical Exascale systems by the end of the decade and Extreme scale systems in the 2020s. Some of these challenges, such as extreme levels of parallelism, have direct impact on applications, while others, such as new data paradigms, offer real breakthrough application and scientific opportunities.”
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