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Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
Severin Reiz; Hasan Ashraf; Tobias Neckel; George Biros; Hans-Joachim Bungartz
Title:
An Exascale Library for Numerically Inspired Machine Learning (ExaNIML)
Abstract:
There is a significant gap between algorithms and software in Data Analytics and those in Computational Science and Engineering (CSE) concerning their maturity on High-Performance Computing (HPC) systems. Given the fact that Data Analytics tasks show a rapidly growing share of supercomputer usage, this gap is a serious issue. ExaNIML aims to bridge this gap for a number of important tasks arising, e.g., in a Machine Learning (ML) context: density estimation, and high-dimensional approximation (...    »
Book / Congress title:
ISC High Performance
Congress (additional information):
Frankfurt (DIGITAL due corona)
Year:
2020
Quarter:
2. Quartal
Year / month:
2020-06
Month:
Jun
Reviewed:
ja
Language:
en
Notes:
Conference link: https://2020.isc-program.com/presentation/?id=proj119&sess=sess326
Semester:
SS 20
TUM Institution:
Department of Informatics
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