Logo des Repositoriums
 

A GPU based parallel computing mechanism of an etching profile evolution model

dc.contributor.authorWu, Fan
dc.contributor.authorSong, Yixu
dc.contributor.authorWu, Nan
dc.contributor.authorYang, Hongjun
dc.contributor.authorSun, Xiaomin
dc.contributor.editorPlödereder, E.
dc.contributor.editorGrunske, L.
dc.contributor.editorSchneider, E.
dc.contributor.editorUll, D.
dc.date.accessioned2017-07-26T10:59:27Z
dc.date.available2017-07-26T10:59:27Z
dc.date.issued2014
dc.description.abstractSince the simulations for etching and deposition are increasingly time consuming, we explore the parallel computing mechanism of a typical profile evolution model on GPU platform in order to accelerate the process. It turns out the traditional parallelism will lead to either data unsafety or low efficiency, because of GPU's special architecture and a lack of safe protocols to protect a memory address from being simultaneously written by multi-threads. To overcome the dilemma, we propose an advanced parallel computing mechanism suitable for GPU platform by dividing each Thread's work into several parts. It is theoretically and experimentally proven that the multi-Threads writing the same address can be totally avoided. Experiment results show that the advanced parallel model is much faster than the traditional serial one.en
dc.identifier.isbn978-3-88579-626-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-232
dc.titleA GPU based parallel computing mechanism of an etching profile evolution modelen
dc.typeText/Conference Paper
gi.citation.endPage2036
gi.citation.publisherPlaceBonn
gi.citation.startPage2031
gi.conference.date22.-26. September 2014
gi.conference.locationStuttgart

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
2031.pdf
Größe:
113.66 KB
Format:
Adobe Portable Document Format