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DTSTAMP:20211207T055409Z
LOCATION:227-228
DTSTART;TZID=America/Chicago:20211117T133000
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UID:submissions.supercomputing.org_SC21_sess146@linklings.com
SUMMARY:Performance Studies
DESCRIPTION:Paper\n\nSingle-Node Partitioned-Memory for Huge Graph Analyti
 cs: Cost and Performance Trade-Offs\n\nGhosh, Tallent, Minutoli, Halappana
 var, Peri...\n\nBecause of cost, non-volatile memory NVDIMMs such as Intel
  Optane are attractive in single-node big-memory systems. We evaluate perf
 ormance and cost trade-offs when using Optane as volatile memory for huge-
 graph analytics. We study two scalable graph applications with different w
 ork locality, access...\n\n---------------------\nEnabling and Scaling the
  HPCG Benchmark on the Newest Generation Sunway Supercomputer with 42 Mill
 ion Heterogeneous Cores\n\nZhu, Luo, Yang, Ding, Yin...\n\nWe study and ev
 aluate performance optimization techniques for the HPCG benchmark on the n
 ewest generation Sunway supercomputer. Specifically, a two-level blocking 
 scheme is proposed to expose adequate parallelism in the symmetric Gauss-S
 eidel kernel while keeping a fast convergence rate; a fine-grai...\n\n----
 -----------------\nAccelerating Applications using Edge Tensor Processing 
 Units\n\nHsu, Tseng\n\nNeural network (NN) accelerators have been integrat
 ed into a wide range of computer systems. NN accelerators provide native h
 ardware support for operations on multidimensional tensor data. Therefore,
  NN accelerators are theoretically tensor processors that can improve syst
 em performance for any prob...\n\n\nTag: Algorithms, Extreme Scale Computi
 ng, Heterogeneous Systems\n\nRegistration Category: Tech Program Reg Pass
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