“Working in close collaboration with Intel Labs Parallel Computing Lab, performing a series of architecture-aware optimizations, the team was able to scale the complexity of science and sustained performance to an unprecedented level. SeisSol sustained 8.6 PFLOPS (double precision), almost equivalent 8.6 quadrillion calculations per second when processing seismic wave phenomena using half of the Tianhe-2 supercomputer.
“We are excited about launching NESAP in partnership with Cray and Intel to help transition our broad user base to energy-efficient architectures,” said Sudip Dosanjh, director of NERSC, the primary HPC facility for the DOE’s Office of Science. “We expect to see many aspects of Cori in an exascale computer, including dramatically more concurrency and on-package memory. The response from our users has been overwhelming—they recognize that Cori will allow them to do science that can’t be done on today’s supercomputers.”
“This paper provides information and benchmarks necessary to make the choice of the best file system for a given application from a number of the available options: RAM disks, virtualized local hard drives, and distributed storage shared with NFS or Lustre. We report benchmarks of I/O performance and parallel scalability on Intel Xeon Phi coprocessors, strengths and limitations of each option.”
Over at Typhoon Computing, Michel Müller writes programmers looking to port their code to accelerators now have a new tool called Hybrid Fortran. “This python-based preprocessor parses annotations together with your Fortran code structure, declarations, accessors and procedure calls, and then writes separate versions of your code – once for CPU with OpenMP parallelization and once for GPU with CUDA Fortran.”