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DTSTAMP:20260422T000711Z
LOCATION:702
DTSTART;TZID=America/Denver:20231113T091200
DTEND;TZID=America/Denver:20231113T092200
UID:submissions.supercomputing.org_SC23_sess449_misc139@linklings.com
SUMMARY:Survey of Technologies for Developers of Parallel Applications:  S
 wift/T
DESCRIPTION:Justin Wozniak (Argonne National Laboratory (ANL))\n\nI will d
 escribe how Swift/T, an automatically parallel scripting language, serves 
 as an alternative to MPI by creating a higher-level programming model for 
 workflow-like applications.  Swift/T essentially translates a functional d
 escription of a workflow into an MPI program runnable at the largest scale
 s through the use of dataflow analysis and an MPI-based task distributor. 
  I will also highlight interesting use cases such as optimizing deep learn
 ing models for cancer problems and fitting parameters to the observed beha
 vior of contagious diseases like COVID-19.  These examples will show how M
 PI can be used as an implementation layer for a completely different progr
 amming model, and as a complementary model via communicator subdivision an
 d handoff.\n\nTag: Accelerators, Artificial Intelligence/Machine Learning,
  Algorithms, Applications, Architecture and Networks, Distributed Computin
 g, Compilers, Data Analysis, Visualization, and Storage, Exascale, Heterog
 eneous Computing, Linear Algebra, Message Passing, Performance Optimizatio
 n, Programming Frameworks and System Software, Quantum Computing, Runtime 
 Systems, Software Engineering, Sustainability, Task Parallelism, Tensors\n
 \nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Engin Kayrak
 lioglu (Hewlett Packard Enterprise (HPE)), Daniele Lezzi (Barcelona Superc
 omputing Center (BSC)), Bill Long (Retired), Karla Vanessa Morris Wright (
 Sandia National Laboratories), Irene Moulitsas (Cranfield University), and
  Elliott Slaughter (SLAC National Accelerator Laboratory)\n\n
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