{"id":6444,"date":"2026-10-19T09:48:55","date_gmt":"2026-10-19T09:48:55","guid":{"rendered":"https:\/\/phd.hi.is\/doktorsvorn\/doktorsvorn-i-reikniverkfraedi-marcel-aach\/"},"modified":"2026-10-19T09:48:55","modified_gmt":"2026-10-19T09:48:55","slug":"doktorsvorn-i-reikniverkfraedi-marcel-aach","status":"publish","type":"phd_defence","link":"https:\/\/phd.hi.is\/en\/doktorsvorn\/doktorsvorn-i-reikniverkfraedi-marcel-aach\/","title":{"rendered":"Doktorsv\u00f6rn \u00ed reikniverkfr\u00e6\u00f0i – Marcel Aach"},"content":{"rendered":"
\n
\n

Doktorsefni:
<\/strong>Marcel Aach<\/p>\n

Heiti ritger\u00f0ar:
<\/strong>Skalanleg samhli\u00f0abestun yfirstika \u00ed dreif\u00f0um dj\u00fapl\u00e6rd\u00f3msa\u00f0fer\u00f0um \u00e1 ofurt\u00f6lvukerfum<\/p>\n

Andm\u00e6lendur<\/strong>:
Dr. Marco Aldinucci, pr\u00f3fessor vi\u00f0 h\u00e1sk\u00f3lann \u00ed Torino, \u00cdtal\u00edu Dr. Matthias Feurer, pr\u00f3fessor vi\u00f0 Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, \u00de\u00fdskalandi<\/p>\n

Lei\u00f0beinandi:
<\/strong>Dr. Morris Riedel, pr\u00f3fessor \u00ed t\u00f6lvunarfr\u00e6\u00f0i vi\u00f0 H\u00e1sk\u00f3la \u00cdslands og forst\u00f6\u00f0uma\u00f0ur f\u00e6rniseturs ofurt\u00f6lva og gervigreindar<\/p>\n

Einnig \u00ed doktorsnefnd:
<\/strong>Dr. Helmut Wolfram Neukirchen, pr\u00f3fessor \u00ed t\u00f6lvunarfr\u00e6\u00f0i og hugb\u00fana\u00f0arverkfr\u00e6\u00f0i vi\u00f0 H\u00e1sk\u00f3la \u00cdslands
Dr. Andreas Lintermann, Leader Simulation and Data Lab Highly Scalable Fluids & Solids Engineering, J\u00fclich Supercomputing Centre<\/p>\n

Doktorsv\u00f6rn st\u00fdrir:
<\/strong>Dr. R\u00fanar Unn\u00fe\u00f3rsson, pr\u00f3fessor og deildarforseti I\u00f0na\u00f0arverkfr\u00e6\u00f0i-, v\u00e9laverkfr\u00e6\u00f0i- og t\u00f6lvunarfr\u00e6\u00f0ideildar H\u00cd\u00a0\u00a0<\/p>\n

\u00c1grip:
<\/strong>A\u00f0 hanna Deep Learning (DL) kerfi er fl\u00f3ki\u00f0 verkefni, sem felur \u00ed s\u00e9r \u00e1kvar\u00f0anir um almennan arkitekt\u00far kerfisins (t.d.\\ fj\u00f6lda laga) og f\u00ednstillingu \u00e1 breytum (t.d.\\ vi\u00f0 innlei\u00f0ingu kerfisins). \u00deessar svok\u00f6llu\u00f0u ofurf\u00e6ribreytur hafa veruleg \u00e1hrif \u00e1 frammist\u00f6\u00f0u sta\u00f0bundna DL l\u00edkansins og eru \u00fev\u00ed mj\u00f6g mikilv\u00e6gar. Hins vegar getur f\u00ednstilling \u00feessa f\u00e6ribreyta veri\u00f0 au\u00f0lindafrekt (resource-intensive) ferli vegna \u00feess a\u00f0 \u00fea\u00f0 \u00fearf a\u00f0 meta margar samsetningar til a\u00f0 finna \u00fe\u00e6r sem standa sig best og skila besta \u00e1rangri. \u00deessi Ph.D. ritger\u00f0 mi\u00f0ar a\u00f0 n\u00fdta kraftinn \u00ed ofurt\u00f6lvu kerfum (High-Performance Computing\/HPC) til a\u00f0 framkv\u00e6ma skilvirka Hyperparameter Optimization (HPO) fyrir DL l\u00edk\u00f6n sem eru \u00fej\u00e1lfu\u00f0 \u00e1 st\u00f3rum v\u00edsinda-gagnas\u00f6fnum. \u00cd n\u00fat\u00edma HPC kerfum, b\u00fain fj\u00f6lda graf\u00edskra vinnslueininga (GPU), ver\u00f0ur ekki a\u00f0eins h\u00e6gt a\u00f0 m\u00e6la margar ger\u00f0ir me\u00f0 mismunandi samsetningar samhli\u00f0a, heldur einnig a\u00f0 keyra \u00fej\u00e1lfun l\u00edkananna sj\u00e1lfra \u00e1 m\u00f6rgum GPU einingum. N\u00fdjustu HPO a\u00f0fer\u00f0ir, sem byggja \u00e1 hugmyndinni um snemmb\u00fana st\u00f6\u00f0vun, hafa s\u00fdnt verulega l\u00e6kkun \u00e1 keyrslut\u00edma HPO ferlisins. Frammista\u00f0a \u00feeirra \u00ed st\u00e6r\u00f0argr\u00e1\u00f0u, s\u00e9rstaklega \u00ed tengslum vi\u00f0 HPC umhverfi og \u00feegar \u00feau eru notu\u00f0 \u00ed st\u00f3rum v\u00edsindalegum gagnagrunnum, hefur hinga\u00f0 til veri\u00f0 \u00f3rannsaka\u00f0 svi\u00f0. \u00cd \u00feessari ritger\u00f0 er leitast vi\u00f0 a\u00f0 br\u00faa \u00feetta bil me\u00f0 \u00fev\u00ed a\u00f0 innlei\u00f0a hli\u00f0st\u00e6\u00f0ar og stigst\u00e6r\u00f0ar\/skalanlegar HPO a\u00f0fer\u00f0ir sem n\u00fdta e\u00f0lisl\u00e6ga eiginleika HPC kerfisins og verkfl\u00e6\u00f0i sem fela \u00ed s\u00e9r innlimun n\u00fdrra reiknivi\u00f0mi\u00f0a. HPO a\u00f0fer\u00f0irnar og virkni \u00feeirra hafa veri\u00f0 sta\u00f0fest (validated) \u00e1 mismunandi v\u00edsindalegum gagnas\u00f6fnum og svi\u00f0um, allt fr\u00e1 Computational Fluid Dynamics (CFD) til fjark\u00f6nnunar (Remote Sensing\/RS), sem spannar nokkur hundru\u00f0 g\u00edgab\u00e6t til nokkurra terab\u00e6ta a\u00f0 st\u00e6r\u00f0.<\/p>\n

Um doktorsefni\u00f0:
<\/strong>Marcel Aach lauk M.Sc. \u00ed hagfr\u00e6\u00f0i fr\u00e1 h\u00e1sk\u00f3lanum \u00ed K\u00f6ln \u00e1ri\u00f0 2021. S\u00ed\u00f0an 2021 hefur hann unni\u00f0 a\u00f0 doktorsgr\u00e1\u00f0u vi\u00f0 J\u00fclich Supercomputing Center og H\u00e1sk\u00f3la \u00cdslands me\u00f0 \u00e1herslu \u00e1 skilvirka Hyperparameter Optimization (HPO) fyrir mismunandi v\u00edsindalega notkun \u00e1 High-Performance Computing (HPC) kerfum.<\/p>\n

Zoom: https:\/\/eu01web.zoom.us\/j\/63936013802<\/a><\/p>\n<\/div><\/div>","protected":false},"featured_media":5832,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_phd_date_start":"2025-01-29T17:00:00+00:00","_phd_date_end":"2025-01-29T19:00:00+00:00","_phd_location":"Askja Stofa N-132","_phd_admission":"A\u00f0gangur \u00f3keypis","_phd_thesis_title":"Skalanleg samhli\u00f0abestun yfirstika \u00ed dreif\u00f0um dj\u00fapl\u00e6rd\u00f3msa\u00f0fer\u00f0um \u00e1 ofurt\u00f6lvukerfum","_phd_source_url":"https:\/\/gamli.hi.is\/vidburdir\/doktorsvorn_i_reikniverkfraedi_marcel_aach","_phd_source_node_id":"439307","_phd_source_type":"vidburdir","_phd_member_id":985,"footnotes":""},"phd_school":[108,93],"phd_discipline":[112],"class_list":["post-6444","phd_defence","type-phd_defence","status-publish","has-post-thumbnail","hentry","phd_school-idnadarverkfraedi-velaverkfraedi-og-tolvunarfraedideild","phd_school-verkfraedi-og-natturuvisindasvid","phd_discipline-phd-i-reikniverkfraedi"],"_links":{"self":[{"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/phd_defence\/6444","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/phd_defence"}],"about":[{"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/types\/phd_defence"}],"version-history":[{"count":0,"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/phd_defence\/6444\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/media\/5832"}],"wp:attachment":[{"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/media?parent=6444"}],"wp:term":[{"taxonomy":"phd_school","embeddable":true,"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/phd_school?post=6444"},{"taxonomy":"phd_discipline","embeddable":true,"href":"https:\/\/phd.hi.is\/en\/wp-json\/wp\/v2\/phd_discipline?post=6444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}