Debus, Charlotte and Knechtges, Philipp and Siggel, Martin (2019) HeAT: The Helmholtz Analytics ToolKit. Wissensaustausch Workshop Maschinelles Lernen WAW ML5, 6.-7.Juni 2019, Köln-Porz, Deutschland.
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Abstract
HeAT is a distributed tensor framework for high performance data analytics. The goal of HeAT is to fill the gap between machine learning libraries that have a strong focus on exploiting GPUs for performance, and traditional, distributed high-performance computing (HPC). The basic idea is to provide a generic, distributed tensor library with machine learning methods based on it.
Item URL in elib: | https://elib.dlr.de/132358/ | ||||||||||||
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Document Type: | Conference or Workshop Item (Poster) | ||||||||||||
Additional Information: | Teil des "Helmholtz Analytics Frameworks" (Projektnr. ZT-I-0003) | ||||||||||||
Title: | HeAT: The Helmholtz Analytics ToolKit | ||||||||||||
Authors: |
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Date: | 2019 | ||||||||||||
Refereed publication: | No | ||||||||||||
Open Access: | Yes | ||||||||||||
Gold Open Access: | No | ||||||||||||
In SCOPUS: | No | ||||||||||||
In ISI Web of Science: | No | ||||||||||||
Status: | Published | ||||||||||||
Keywords: | Software Framework, Machine Learning | ||||||||||||
Event Title: | Wissensaustausch Workshop Maschinelles Lernen WAW ML5 | ||||||||||||
Event Location: | Köln-Porz, Deutschland | ||||||||||||
Event Type: | Workshop | ||||||||||||
Event Dates: | 6.-7.Juni 2019 | ||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
HGF - Program: | Space | ||||||||||||
HGF - Program Themes: | other | ||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||
DLR - Program: | R - no assignment | ||||||||||||
DLR - Research theme (Project): | R - no assignment | ||||||||||||
Location: | Köln-Porz | ||||||||||||
Institutes and Institutions: | Institut of Simulation and Software Technology > High Performance Computing | ||||||||||||
Deposited By: | Debus, Charlotte | ||||||||||||
Deposited On: | 09 Dec 2019 11:43 | ||||||||||||
Last Modified: | 09 Dec 2019 11:43 |
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