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LOCATION:Track 3
DTSTART;TZID=America/New_York:20201119T100000
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UID:submissions.supercomputing.org_SC20_sess156@linklings.com
SUMMARY:Kernel Optimizations
DESCRIPTION:Paper\n\nPencil: A Pipelined Algorithm for Distributed Stencil
 s\n\nWang, Chandramowlishwaran\n\nStencil computations are at the core of 
 Computational Fluid Dynamics (CFD). Given its memory-bound nature, numerou
 s temporal tiling algorithms have been proposed to improve its performance
 . Although efficient, most algorithms aim at a single iteration space on s
 hared-memory machines. In CFD, however...\n\n---------------------\nSpeedi
 ng Up SpMV for Power-Law Graph Analytics by Enhancing Locality & Vectoriza
 tion\n\nYesil, Heidarshenas, Morrison, Torrellas\n\nGraph analytics often 
 target large-scale web and social networks, which are typically power-law 
 graphs. Graph algorithms can often be recast as generalized SpMV operation
 s, making SpMV important to optimize for graph analytics. However, executi
 ng SpMV on large-scale power-law graphs results in highl...\n\n-----------
 ----------\nEfficient Tiled Sparse Matrix Multiplication through Matrix Si
 gnatures\n\nKurt, Sukumaran-Rajam, Rastello, Sadayappan\n\nTiling is a key
  technique to reduce data movement in matrix computations. While tiling is
  well understood and widely used for dense matrix/tensor computations, eff
 ective tiling of sparse matrix computations remains a challenging problem.
  This paper proposes a novel method to efficiently summarize th...\n\n\nTa
 g: Algorithms, Graph Algorithms, Linear Algebra\n\nRegistration Category: 
 Tech Program Reg Pass
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