第163回 第2部

The High Performance Big Data Research Team is investigating and developing system software to facilitate extreme-scale big data processing, machine learning and deep learning for the K computer, post-K computer and beyond. The computational power in high performance computing (HPC) systems has been dramatically increasing, driven in particular by advanced multi/many-core architectures and new memory technologies such as high bandwidth memory and hybrid memory cubes. Although these HPC systems are keeping pace with required computational and memory performance for running scientific applications, they are inadequate with respect to I/O performance required by data-intensive applications. In this talk, we briefly introduce various approaches to resolve these I/O issues and future research directions for the next generation HPC systems.