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DTSTAMP:20210402T160549Z
LOCATION:Track 3
DTSTART;TZID=America/New_York:20201117T130000
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UID:submissions.supercomputing.org_SC20_sess141@linklings.com
SUMMARY:Tools
DESCRIPTION:Paper\n\nScalAna: Automating Scaling Loss Detection with Graph
  Analysis\n\nJin, Wang, Yu, Tang, Hoefler...\n\nScaling a parallel program
  to modern supercomputers is challenging due to inter-process communicatio
 n, Amdahl's law and resource contention. Performance analysis tools for fi
 nding such scaling bottlenecks are based on either profiling or tracing. P
 rofiling incurs low overheads but does not capture d...\n\n---------------
 ------\nDRCCTPROF: A Fine-Grained Call Path Profiler for ARM-Based Cluster
 s\n\nZhao, Liu, Chabbi\n\nARM is an attractive CPU architecture for exasca
 le systems because of its energy efficiency. As a recent entry into the HP
 C paradigm, ARM lags in its software stack, especially in the performance 
 tooling aspect. Notably, there is a lack of fine-grained measurement tools
  to analyze fully-optimized HP...\n\n---------------------\nZerospy: Explo
 ring Software Inefficiency with Redundant Zeros\n\nYou, Yang, Luan, Qian, 
 Liu\n\nRedundant zeros cause inefficiencies in which the zero values are l
 oaded and computed repeatedly, resulting in unnecessary memory traffic and
  identity computation that waste memory bandwidth and CPU resources. Optim
 izing compilers is difficult in eliminating these zero-related inefficienc
 ies due to ...\n\n\nTag: Graph Algorithms, Performance/Productivity Measur
 ement and Evaluation\n\nRegistration Category: Tech Program Reg Pass
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