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UID:submissions.pasc-conference.org_PASC24_sess181@linklings.com
SUMMARY:AP2D - ACM Papers Session 2D
DESCRIPTION:Paper\n\nUsing Read-After-Read Dependencies to Control Task-Gr
 anularity\n\nIn compiler theory, data analysis is used to exploit Instruct
 ion Level Parallelism (ILP). Three dependencies are used in modern compile
 rs and hardware schemes efficiently and are fundamental to any code compil
 ation. Read-after-read (RAR) has been left out, as it cannot cause a data 
 hazard. This arti...\n\n\nAndres Gartmann (mynatix ag) and Mathias Müller 
 (meteoblue ag)\n---------------------\nHybrid Multi-GPU Distributed Octree
 s Construction for Massively Parallel Code Coupling Applications\n\nThis p
 aper presents two new hybrid MPI-GPU algorithms for building distributed o
 ctrees. The first algorithm redistributes data between processes and is us
 ed to globally sort the points on which the octree is generated, according
  to their SFC codes. The second algorithm proposes a bottom-up approach ..
 .\n\n\nRobin Cazalbou (ONERA); Florent Duchaine (CERFACS); and Eric Quémer
 ais, Bastien Andrieu, Gabriel Staffelbach, and Bruno Maugars (ONERA)\n----
 -----------------\nHybrid Parallel Tucker Decomposition of Streaming Data\
 n\nTensor decompositions have emerged as powerful tools of multivariate da
 ta analysis, providing the foundation of numerous analysis methods. The Tu
 cker decomposition in particular has been shown to be quite effective at c
 ompressing high-dimensional scientific data sets. However, applying these 
 techniq...\n\n\nSaibal De and Hemanth Kolla (Sandia National Laboratories)
 , Antoine Meyer (NexGen Analytics), Eric T. Phipps (Sandia National Labora
 tories), and Francesco Rizzi (NexGen Analytics)\n\nDomain: Computational M
 ethods and Applied Mathematics\n\nSession Chair: Fazeleh Kazemian (Austral
 ian National University)
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