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DTSTAMP:20211207T055401Z
LOCATION:224
DTSTART;TZID=America/Chicago:20211115T165000
DTEND;TZID=America/Chicago:20211115T172000
UID:submissions.supercomputing.org_SC21_sess350_ws_ia107@linklings.com
SUMMARY:Toward Scalable Data Processing in Python with CLIPPy
DESCRIPTION:Workshop\n\nToward Scalable Data Processing in Python with CLI
 PPy\n\nPirkelbauer, Bromberger, Iwabuchi, Pearce\n\nThe Python programming
  language has become a popular choice for data scientists. While easy to u
 se, the Python language is not well suited to drive data science on large 
 scale systems.\n\nThis paper presents a first prototype of CLIPPy (Command
  line interface plus Python), a user-side interface in Python that connect
 s to high-performance computing environments with non-volatile memory. CLI
 PPy queries available executable files and prepares a Python API on the fl
 y. The executables offer an interface to a backend that can execute on lar
 ge-scale systems. The executables can be implemented in any language, for 
 example C++ . CLIPPy and the executables are loosely coupled and communica
 te through a JSON based interface.\n\nThe underlying philosophy, design ch
 allenges, and a prototype implementation that accesses data stored in non-
 volatile memory will be discussed.\n\nTag: Algorithms, Architectures, Big 
 Data, Data Analytics, Memory Systems, Numerical Algorithms\n\nRegistration
  Category: Workshop Reg Pass
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