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DTSTAMP:20181221T160909Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181114T133000
DTEND;TZID=America/Chicago:20181114T150000
UID:submissions.supercomputing.org_SC18_sess204@linklings.com
SUMMARY:Physics and Tensor Applications
DESCRIPTION:Paper\nAlgorithms, Applications, Computational Physics, Scient
 ific Computing, Tech Program Reg Pass\n\nSimulating the Wenchuan Earthquak
 e with Accurate Surface Topography on Sunway TaihuLight\n\nChen, Fu, Wei, 
 He, Zhang...\n\nThis paper reports our efforts on performing 50-m resoluti
 on earthquake simulation of the Wenchuan Earthquake (Ms 8.0, China) on Sun
 way TaihuLight. To accurately capture the surface topography, we adopt a c
 urvilinear grid finite-difference method with a traction image free surfac
 e implementation and...\n\n---------------------\nAccelerating Quantum Che
 mistry with Vectorized and Batched Integrals\n\nHuang, Chow\n\nThis paper 
 presents the first quantum chemistry calculations using a recently develop
 ed vectorized library for computing electron repulsion integrals. To lengt
 hen the SIMD loop and thus improve SIMD utilization, the approach used in 
 this paper is to batch together the computation of multiple integra...\n\n
 ---------------------\nHigh-Performance Dense Tucker Decomposition on GPU 
 Clusters\n\nChoi, Liu, Chakaravarthy\n\nThe Tucker decomposition method is
  one of the most popular algorithms for analyzing and compressing data wit
 h multi-way relationship. Its execution time is typically dominated by den
 se matrix multiplication, which makes it well-suited for GPU acceleration.
  State-of-the-art distributed dense Tucker i...\n
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