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UID:submissions.supercomputing.org_SC22_sess275_rpost139@linklings.com
SUMMARY:Tensor Processing Primitives in the Computational Sciences:  Earth
 quake Simulations
DESCRIPTION:Posters, Research Posters\n\nTensor Processing Primitives in t
 he Computational Sciences:  Earthquake Simulations\n\nBreuer, Heinecke, No
 ack, Georganas, Voronin\n\nMany HPC and certainly AI or DL applications ar
 e comprised in their core of small linear algebra operations which are the
 n used to compose large and more complicated tensor operations. Especially
  in the field of AI/DL portability among different hardware platforms is e
 ssential due to an extensive reliance on Python and the high-level nature 
 of many frontends. However, scientists are often faced with the challenge 
 to run their codes in vastly different environments. They therefore have t
 o restrict themselves to high-level languages and hope for good compiler o
 ptimizations. Especially for complicated linear algebra operators, as they
  arise in high-order methods in the computational sciences, this is huge l
 eap of faith. In this work we demonstrate how Tensor Processing Primitives
 , a low-dimensional SIMD abstraction for various CPU architectures, can be
  used to obtain very high fractions of floating point peak on seven differ
 ent CPU micro-architectures offering four different ISAs.\n\nRegistration 
 Category: Tech Program Reg Pass, Exhibits Reg Pass
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