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DTSTAMP:20181221T160902Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20181113T133000
DTEND;TZID=America/Chicago:20181113T150000
UID:submissions.supercomputing.org_SC18_sess178@linklings.com
SUMMARY:Large-Scale Algorithms
DESCRIPTION:Paper\nAlgorithms, Architectures, Data Analytics, Deep Learnin
 g, Networks, Scientific Computing, Visualization, Tech Program Reg Pass\n\
 nTriCore: Parallel Triangle Counting on GPUs\n\nHu, Liu, Huang\n\nTriangle
  counting algorithm enumerates the triangles in a graph by identifying the
  common neighbors between two vertices of every edge. In this work, we pre
 sent TriCore, a new GPU-based high-performance and scalable triangle count
 ing system that consists of three main techniques. First, we design a ...\
 n\n---------------------\nDistributed-Memory Hierarchical Compression of D
 ense SPD Matrices\n\nYu, Reiz, Biros\n\nWe present a distributed-memory al
 gorithm for the hierarchical compression of SPD matrices. Our method is ba
 sed on GOFMM, an algorithm that appeared in doi:10.1145/3126908.3126921.\n
 \nFor many SPD matrices, GOFMM enables compression and approximate matrix-
 vector multiplication in NlogN time---as oppos...\n\n---------------------
 \nLarge-Scale Hierarchical K-Means for Heterogeneous Many-Core Supercomput
 ers\n\nLi, Yu, Zhao, Fu, Wang...\n\nThis paper presents a novel design and
  implementation of k-means clustering algorithm targeting the Sunway Taihu
 Light supercomputer. We introduce a multi-level parallel partition approac
 h that not only partitions by dataflow and centroid, but also by dimension
 . Our multi-level (nkd) approach unlocks...\n
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