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DTSTAMP:20210402T160556Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201112T143000
DTEND;TZID=America/New_York:20201112T183000
UID:submissions.supercomputing.org_SC20_sess218@linklings.com
SUMMARY:PAW-ATM 2020: The 3rd Annual Parallel Applications Workshop, Alter
 natives To MPI+X
DESCRIPTION:Workshop\n\nWorkshop and Keynote introduction\n\nPAW-ATM - Int
 roduction: The 3rd Annual Parallel Applications Workshop, Alternatives To 
 MPI+X\n\nMorris, Chamberlain, Badia\n\nArchitectural hierarchy and heterog
 eneity make programming supercomputers challenging.  In practice, HPC appl
 ications tend to be written using a mix of programming models, such as C++
 , MPI, CUDA and/or OpenMP; each of which is becoming more complex over tim
 e.  This negatively impacts the costs of de...\n\n---------------------\nE
 xploring Hybrid MPI+Kokkos Tasks Programming Model\n\nKhuvis, Tomko, Hashm
 i, Panda\n\nMost current parallel applications use data parallelism with a
  combination of MPI and threads. There has been growing interest in task-b
 ased programming models, but little work has been done on hybrid MPI+task 
 codes. In this paper, we describe our experiences implementing a hybrid MP
 I+Kokkos tasks p...\n\n---------------------\nPAW-ATM – Keynote: Performan
 ce Portability in the Age of Extreme Heterogeneity\n\nShalf\n\nMoore’s Law
  is a techno-economic model that has enabled the IT industry to double the
  performance and functionality of digital electronics roughly every 2 year
 s within a fixed cost, power and area. This expectation has led to a relat
 ively stable ecosystem (e.g. electronic design automation tools, co...\n\n
 ---------------------\nPAW-ATM – Break\n\n\n\n---------------------\nPAW-A
 TM – Break\n\n\n\n---------------------\nAn Implicitly Parallel Meshfree S
 olver in Regent\n\nSoi, Mamidi, Slaughter, Prasun, Nemili...\n\nThis paper
  presents the development of a Regent-based implicitly parallel meshfree s
 olver for inviscid compressible fluid flows. The meshfree solver is based 
 on the Least Squares Kinetic Upwind Method (LSKUM). The performance of the
  Regent parallel solver is assessed by comparing with the explicitly...\n\
 n---------------------\nHOOVER: Leveraging OpenSHMEM for High Performance,
  Flexible, Streaming Graph Applications\n\nGrossman, Pritchard, Poole, Sar
 kar\n\nAs the adoption of streaming graph applications increases in the fi
 nance, defense, social and other industries, so does the size, velocity, i
 rregularity and complexity of these streaming graphs. Most existing framew
 orks for processing streaming, dynamic graphs are too limited in scalabili
 ty or funct...\n\n---------------------\nEvaluation of Multiple HPC Parall
 elization Frameworks in a Shallow Water Mini Application with Multi-Rate L
 ocal Time Stepping\n\nBogusz, Samfass, Pöppl, Klinkenberg, Bader\n\nWith a
  widening gap between processor speed and communication latencies, overlap
  of computation and communication becomes increasingly important. At the s
 ame time, variable CPU clock frequencies (e.g.,with DVFS and Turbo Boost) 
 and novel numerical techniques such as local time stepping make it chall..
 .\n\n---------------------\nHedgehog: Understandable Scheduler-Free Hetero
 geneous Asynchronous Multithreaded Data-Flow Graphs\n\nBardakoff, Keyrouz,
  Blattner, Bachelet, Yon...\n\nGetting performance on high-end heterogeneo
 us nodes is challenging. This is due to the large semantic gap between a c
 omputation's specification, possibly mathematical formulas or an abstract 
 sequential algorithm, and its parallel implementation; this gap obscures t
 he program's parallel structures an...\n\n---------------------\nPAW-ATM –
  Break\n\n\n\n---------------------\nTask-Parallel In Situ Data Compressio
 n of Large-Scale Computational Fluid Dynamics Simulations\n\nPacella, Dunt
 on\n\nPresent day computational fluid dynamics simulations generate extrem
 ely large amounts of data; most of this data is discarded because current 
 storage systems are unable to keep pace. Data compression algorithms can b
 e applied to this data to reduce the overall amount of storage while eithe
 r exactly ...\n\n---------------------\nTaskTorrent: A Lightweight Distrib
 uted Task-Based Runtime System in C++\n\nCambier, Qian, Darve\n\nWe presen
 t TaskTorrent, a lightweight distributed task-based runtime in C++. TaskTo
 rrent uses a parametrized task graph to express the task DAG, and one-side
 d active messages to trigger remote tasks asynchronously. As a result, the
  task DAG is completely distributed and discovered in parallel. It is...\n
 \n\nRegistration Category: Workshop Reg Pass
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