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Video: Towards Inevitable Convergence of HPC and Big Data

Satoshi Matsuoka from the Tokyo Institute of Technology discusses Big Data at the NCSA Blue Waters Symposium. “The trend towards convergence is not only strategic however but rather inevitable as the Moore’s law ends such that sustained growth in data capabilities, not compute, will advance the capacity and thus the overall capacities towards accelerating research and ultimately the industry.”

Podcast: Satoshi Matsuoka on the Convergence of HPC and Big Data

“Rapid growth in the use cases and demands for extreme computing and huge data processing is leading to convergence of the two infrastructures. The trend towards convergence is not only strategic however but rather inevitable as the Moore’s law ends such that sustained growth in data capabilities, not compute, will advance the capacity and thus the overall capacities towards accelerating research and ultimately the industry.”

Simulating Global Atmosphere with NICAM on TSUBAME2.5 Using OpenACC

“OpenACC was applied to the a global high-resolution atmosphere model named NICAM. We executed the dynamical core test without re-writing any specific kernel subroutines for GPU execution. Only 5% of the lines of source code were modified, demonstrating good portability. The results showed that the kernels generated by OpenACC achieved good performance, which was appropriate to the memory performance of GPU, as well as weak scalability. A large-scale simulation was carried out using 2560 GPUs, which achieved 60 TFLOPS.”