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UID:submissions.supercomputing.org_SC20_sess301_inv107@linklings.com
SUMMARY:Data-Centric Architecture of a Weather and Climate Accelerator
DESCRIPTION:Invited Talk\n\nData-Centric Architecture of a Weather and Cli
 mate Accelerator\n\nLuijten\n\nRonald spent a one-year sabbatical at ETH C
 SCS in 2019 working with the team that implemented COSMO in Gridtools for 
 the Swiss weather prediction production. Here he architected a non-Von Neu
 mann accelerator for stencils on regular grids targeting weather and clima
 te simulations. This presentation shows how a co-design approach to a data
  centric design achieved the maximum performance, limited only by the acce
 lerator memory BW of the HBM DRAM bus. A novel CGRA (Course Grain Reconfig
 urable Array) layout that reflects the grid points in the physical world i
 s used to achieve this. This approach avoids the automatic caching mechani
 sms of CPUs and GPUs that limit achieving maximum performance. Three pragm
 as were used: grid point data may only be read once from HBM for an entire
  3D grid sweep (stencil calculation), all data transferred over the HBM bu
 s must be used in a calculation (i.e., cannot be evicted from cache before
  use) and HBM bus must run continually at sustained peak bandwidth.<br /><
 br />The achieved performance for two stencil benchmarks and CGRA results 
 will be shown, as well as next steps for this project.\n\nTag: Architectur
 es, Memory Systems, Programming Systems, Technology Challenge\n\nRegistrat
 ion Category: Tech Program Reg Pass, Exhibits Reg Pass
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