Letting future programmers experience performance-related tasks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10431118" target="_blank" >RIV/00216208:11320/21:10431118 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Uzm56QY.Yl" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Uzm56QY.Yl</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jpdc.2021.04.014" target="_blank" >10.1016/j.jpdc.2021.04.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Letting future programmers experience performance-related tasks

Popis výsledku v původním jazyce

Programming courses usually focus on software-engineering problems like software decomposition and code maintenance. While computer-science lessons emphasize algorithm complexity, technological problems are usually neglected although they may significantly affect the performance in terms of wall time. As the technological problems are best explained by hands-on experience, we present a set of homework assignments focused on a range of technologies from instruction-level parallelism to GPU programming to cluster computing. These assignments are a product of a decade of development and testing on live subjects - the students of three performance-related software courses at the Faculty of Mathematics and Physics of the Charles University in Prague. (C) 2021 Elsevier Inc. All rights reserved.

Název v anglickém jazyce

Letting future programmers experience performance-related tasks

Popis výsledku anglicky

Programming courses usually focus on software-engineering problems like software decomposition and code maintenance. While computer-science lessons emphasize algorithm complexity, technological problems are usually neglected although they may significantly affect the performance in terms of wall time. As the technological problems are best explained by hands-on experience, we present a set of homework assignments focused on a range of technologies from instruction-level parallelism to GPU programming to cluster computing. These assignments are a product of a decade of development and testing on live subjects - the students of three performance-related software courses at the Faculty of Mathematics and Physics of the Charles University in Prague. (C) 2021 Elsevier Inc. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Parallel and Distributed Computing

ISSN

0743-7315

e-ISSN

—

Svazek periodika

155

Číslo periodika v rámci svazku

September 2021

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

74-86

Kód UT WoS článku

000656871100007

EID výsledku v databázi Scopus

2-s2.0-85105709161