In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters.
The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
SC17 will feature a panel discussion entitled How Serious Are We About the Convergence Between HPC and Big Data? "The possible convergence between the third and fourth paradigms confronts the scientific community with both a daunting challenge and a unique opportunity. The challenge resides in the requirement to support both heterogeneous workloads with the same hardware architecture. The opportunity lies in creating a common software stack to accommodate the requirements of scientific simulations and big data applications productively while maximizing performance and throughput. [Read More...]
Using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workflows such as risk management, while incorporating larger datasets than using traditional NAS.
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