Teaching Heart Modeling and Simulation on Parallel Computing Systems

被引：1

作者：

Sozykin, Andrey ^{[1
,2
]}

Chernoskutov, Mikhail ^{[1
,2
]}

Koshelev, Anton ^{[1
,2
]}

Zverev, Vladimir ^{[1
,2
]}

Ushenin, Konstantin ^{[1
,2
]}

Solovyova, Olga ^{[1
,2
,3
]}

机构：

[1] Inst Math & Mech UrB RAS, Ekaterinburg, Russia

[2] Ural Fed Univ, Ekaterinburg, Russia

[3] Inst Immunol & Physiol UrB RAS, Ekaterinburg, Russia

来源：

EURO-PAR 2015: PARALLEL PROCESSING WORKSHOPS | 2015年 / 9523卷

关键词：

High performance computing; Distributed computing; HPC education; Heart simulation; Living system simulation;

D O I：

10.1007/978-3-319-27308-2_9

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

High Performance Computing (HPC) is an interdisciplinary field of study, which requires learning a number of topics, including not only parallel programming, but also numerical methods and domain science. Stand-alone parallel computing courses are insufficient for thorough HPC education. We present an interdisciplinary track of coherent courses devoted to modeling and simulation of the heart on parallel computing systems for master students at the Ural Federal University. The track consists of three modules: parallel and distributed computing, heart modeling, and numerical methods. Knowledge of numerical methods and heart modeling provides the students with the ability to acquire profound parallel programming skills by working out on the comprehensive programming assignment and complex heart modeling projects. Interdisciplinary approach also increases students' motivation and involvement.

引用

页码：102 / 113

页数：12

共 50 条

[11] MODELING THE PERFORMANCE OF DIRECT NUMERICAL SIMULATION ON PARALLEL SYSTEMS
Kerbyson, Darren J.
Barker, Kevin J.
PARALLEL PROCESSING LETTERS, 2011, 21 (03) : 301 - 318
[12] Application Modeling for Scalable Simulation of Massively Parallel Systems
Anger, Eric
Yalamanchili, Sudhakar
Dechev, Damian
Hendry, Gilbert
Wilke, Jeremiah
2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS), 2015, : 238 - 247
[13] Parallel Computing for Brain Simulation
Pastur-Romay, L. A.
Porto-Pazos, A. B.
Cedron, F.
Pazos, A.
CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2017, 17 (14) : 1646 - 1668
[14] PARALLEL COMPUTING IN ECOLOGICAL SIMULATION
STOCKWELL, DRB
GREEN, DG
MATHEMATICS AND COMPUTERS IN SIMULATION, 1990, 32 (1-2) : 249 - 254
[15] Algebraic modeling and parallel computing
Andrianov, SN
Edamenko, NS
Dyatlov, AA
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2006, 558 (01): : 150 - 153
[16] An environment for modeling and simulation of message-passing parallel applications for cloud computing
Garg, Saurabh Kumar
Buyya, Rajkumar
SOFTWARE-PRACTICE & EXPERIENCE, 2013, 43 (11): : 1359 - 1375
[17] Java']Java for parallel computing and as a general language for scientific and engineering simulation and modeling
Fox, GC
Furmanski, W
CONCURRENCY-PRACTICE AND EXPERIENCE, 1997, 9 (06): : 415 - 425
[18] Computational modeling and simulation of reconfigurable responsive embedded computing systems
Moeller, DPF
Simulation in Wider Europe, 2005, : 567 - 573
[19] Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems
Wright, Steven A.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 92 : 900 - 902
[20] Linguistic dynamic systems and computing with words for modeling, simulation, and analysis of complex systems
Wang, FY
Lin, Y
Pu, JB
DISCRETE EVENT MODELING AND SIMULATION TECHNOLOGIES: A TAPESTRY OF SYSTEMS AND AI-BASED THEORIES AND METHODOLOGIES, 2001, : 75 - 92

← 1 2 3 4 5 →