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DTSTAMP:20210402T160549Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201118T150000
DTEND;TZID=America/New_York:20201118T164600
UID:submissions.supercomputing.org_SC20_sess355@linklings.com
SUMMARY:ACM Student Research Semi-Finalists Presentations
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster\n\nEnabling Graph-Based Profil
 ing Analysis Using Hatchet\n\nLumsden\n\nWe augment the Hatchet performanc
 e data analysis tool to leverage relational caller-callee data in the anal
 ysis of HPC applications. Specifically, we design a query language that en
 ables data reduction using graph path pattern matching. We demonstrate the
  capabilities of our augmented Hatchet by exa...\n\n---------------------\
 nRecovering Silent Data Corruption through Spatial Prediction\n\nPlacke\n\
 nHigh-performance computing applications are central to advancement in man
 y fields of science and engineering. Central to this advancement is the su
 pposed reliability of the HPC system. However, as system size grows and ha
 rdware components are run with near-threshold voltages, transient upset ev
 ents ...\n\n---------------------\nPredicting the Performance of Jobs in t
 he Queue Using Machine Learning\n\nCostello, Bhatele\n\nIn recent years, s
 everal HPC facilities have started continuous monitoring of their systems 
 and jobs to collect performance-related data for understanding performance
  and operational efficiency. Such data can be used to optimize the perform
 ance of individual jobs and the overall system by creating d...\n\n-------
 --------------\nMemory-Centric 3D Image Reconstruction with Hierarchical C
 ommunications on Multi-GPU Node Architecture\n\nHidayetoglu\n\nX-ray compu
 ted tomography is a commonly used technique for non-invasive imaging at sy
 nchrotron facilities. Iterative tomographic reconstruction algorithms are 
 often preferred for recovering high quality 3D volumetric images from 2D X
 -ray images, however, their use has been limited to small/medium da...\n\n
 ---------------------\nCommunication-Avoiding Large Graph Algorithms for F
 low Modeling\n\nBarnes\n\nLarge digital elevation models (DEMs) can be use
 d in geographic information systems (GIS) to model hydrology across contin
 ents. Smaller DEMs, coupled with governing equations, can be used to disti
 nguish between competing theories of landscape evolution. Two algorithms, 
 depression filling and flow ac...\n\n---------------------\nDiving for Tre
 asure in a Sea of Scientific Literature: Extracting Scientific Information
  from Free Text Articles\n\nKoripelly\n\nIt has become impossible for rese
 archers to keep up with the more than 2.5 million publications published e
 very year. We explore scalable approaches for automatically extracting rel
 ations from scientific papers (e.g., melting point of a polymer). We imple
 ment a dependency parser-based relation extra...\n\n---------------------\
 nOptimizing Vector Particle-In-Cell (VPIC) for Memory Constrained Systems 
 Using Half-Precision\n\nTan\n\nVector Particle-In-Cell (VPIC) is one of th
 e fastest plasma simulation codes in the world, with particle numbers rang
 ing from one trillion on the first petascale system, Roadrunner, to more r
 ecent 10 trillion particles on the Trinity supercomputer. Current memory s
 ystems limit VPIC simulations great...\n\n---------------------\nA Framewo
 rk for Linking Urban Traffic and Vehicle Emissions in Smart Cities\n\nMobo
 , Hathaway\n\nOur poster outlines a methodology to perform an analysis of 
 traffic flows and the resultant vehicle exhaust emissions. We design and i
 mplement an analysis and visualization framework that includes metrics and
  algorithms for adjusting, transforming, relating and visualizing data, as
  well as statistic...\n\n\nTag: Student Program\n\nRegistration Category: 
 Tech Program Reg Pass
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