2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)最新文献

Peachy Parallel Assignments (EduHPC 2020) 并行作业(EduHPC 2020)

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00012

H. Casanova, Rafael Ferreira da Silva, Arturo González-Escribano, William Koch, Yuri Torres, David P. Bunde

引用次数: 3

Applying Parallel and Distributed Computing Curriculum to Cyber Security Courses 并行与分布式计算课程在网络安全课程中的应用

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00007

Radu Velea, Valentin Ilie, I. Bica

引用次数: 1

[Copyright notice] (版权)

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/eduhpc51895.2020.00002

引用次数: 0

Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development 扩展FreeCompilerCamp.org作为编译器开发的在线自学平台

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00011

Justin Gosselin, Anjia Wang, P. Pirkelbauer, C. Liao, Yonghong Yan, D. Dechev

{"title":"Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development","authors":"Justin Gosselin, Anjia Wang, P. Pirkelbauer, C. Liao, Yonghong Yan, D. Dechev","doi":"10.1109/EduHPC51895.2020.00011","DOIUrl":"https://doi.org/10.1109/EduHPC51895.2020.00011","url":null,"abstract":"Compilers and compiler-based tools have become increasingly critical for optimizing high-performance computing workloads; however, compiler development remains difficult and time consuming due to the complex nature of compilers. FreeCompilerCamp.org is an online training framework for compiler development that allows users to complete hands-on tutorials with a Linux environment that is directly embedded in the web browser. It provides an effective and convenient training platform for both new and experienced compiler developers. In this paper, we present our enhancements to the framework to support self-evaluation and learning outcome feedback for trainees. We extend FreeCompilerCamp to support a fully contained self-learning environment with exercises and examinations providing immediate and automatic feedback via server-side grading. We achieve this through two forms of evaluation: openbook practicals and closed-book exams. To facilitate learning, we design several new tutorials and improve the framework to support both CPU and GPU servers and docker images, optimize resource utilization, and enhance usability. Our extended platform, FreeCompilerCamp v1.1, follows the same extensibility design goals as the original to allow for new practicals and exams, providing an effective method to reduce the barrier of entry to compiler development.","PeriodicalId":269408,"journal":{"name":"2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130012610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Teaching Software Sustainability for High Performance Computing at ATPESC 在ATPESC教授高性能计算软件的可持续性

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00008

A. Dubey, Katherine M. Riley, D. Bernholdt

引用次数: 2

Lightning Talks of EduHPC 2020 关于EduHPC 2020的简短谈话

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00013

Joel C. Adams, Godmar Back, P. Bała, Michael K. Bane, K. Cameron, H. Casanova, Margaret Ellis, Rafael Ferreira da Silva, Gautam Jethwani, William Koch, T. Lee, Tongyu Zhu

引用次数: 0

Towards Generic Parallel Programming in Computer Science Education with Kokkos 面向计算机科学教育中的通用并行编程

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00010

Jan Ciesko, David Poliakoff, Daisy S. Hollman, Christian C. Trott, D. Lebrun-Grandié

{"title":"Towards Generic Parallel Programming in Computer Science Education with Kokkos","authors":"Jan Ciesko, David Poliakoff, Daisy S. Hollman, Christian C. Trott, D. Lebrun-Grandié","doi":"10.1109/EduHPC51895.2020.00010","DOIUrl":"https://doi.org/10.1109/EduHPC51895.2020.00010","url":null,"abstract":"Parallel patterns, views, and spaces are promising abstractions to capture the programmer's intent as well as the contextual information that can be used by an underlying runtime to efficiently map software to parallel hardware. These abstractions can be valuable in cases where an algorithm must accommodate requirements of code and performance portability across hardware architectures and vendor programming models. Kokkos is a parallel programming model for host- and accelerator architectures that relies on these abstractions and targets these requirements. It consists of a pure C++ interface, a specification, and a programming library. The programming library exposes patterns and types and maps them to an underlying abstract machine model. The abstract machine model offers a generic view of parallel hardware. While Kokkos is gaining popularity in large-scale HPC applications at some DOE laboratories, we believe that the implemented concepts are of interest to a broader audience including academia as they may contribute to a generic, vendor, and architecture-independent education of parallel programming. In this work, we give an insight into the design considerations of this programming model and list important abstractions. Further, we document best practices obtained from giving virtual classes on Kokkos and give pointers to resources that the reader may consider valuable for a lecture on generic parallel programming for students with preexisting knowledge on this matter.","PeriodicalId":269408,"journal":{"name":"2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116046257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Trying to do it all in a single course: a surprisingly good idea 试图在一门课程中完成所有的事情:一个令人惊讶的好主意

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-11-01 DOI: 10.1109/EduHPC51895.2020.00006

T. Newhall

{"title":"Trying to do it all in a single course: a surprisingly good idea","authors":"T. Newhall","doi":"10.1109/EduHPC51895.2020.00006","DOIUrl":"https://doi.org/10.1109/EduHPC51895.2020.00006","url":null,"abstract":"We present the curricular design and learning goals of an upper-level undergraduate course that covers a wide breadth of topics in parallel and distributed computing (PDC), while also providing students with depth of experience and development of problem solving, programming, and analysis skills. We discuss lessons learned from our experiences teaching this course over the past 10 years, and discuss changes and improvements we have made in its offerings, as well as choices and trade-offs we made to achieve a balance, in a single course, between breadth and depth of topic across these two huge fields. Evaluations from students support that our approach works well meeting the goals of exposing students to a broad range of PDC topics, building important PDC thinking and programming skills, and meeting other pedagogical goals of an advance upper-level undergraduate CS course. Although our single course design was created due to constraints common to smaller schools that have fewer faculty resources, smaller curricula, and often fewer required courses for their majors, our experiences with this course lead us to conclude that it is a good approach for an advanced undergraduate course on PDC at any institution.","PeriodicalId":269408,"journal":{"name":"2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134000871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning 整合机器学习与hpc驱动的模拟，以增强学生的学习

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2020-08-24 DOI: 10.1109/EduHPC51895.2020.00009

V. Jadhao, J. Kadupitiya

{"title":"Integrating Machine Learning with HPC-driven Simulations for Enhanced Student Learning","authors":"V. Jadhao, J. Kadupitiya","doi":"10.1109/EduHPC51895.2020.00009","DOIUrl":"https://doi.org/10.1109/EduHPC51895.2020.00009","url":null,"abstract":"We explore the idea of integrating machine learning (ML) with high performance computing (HPC)-driven simulations to address challenges in using simulations to teach computational science and engineering courses. We demonstrate that a ML surrogate, designed using artificial neural networks, yields predictions in excellent agreement with explicit simulation, but at far less time and computing costs. We develop a web application on nanoHUB that supports both HPC-driven simulation and the ML surrogate methods to produce simulation outputs. This tool is used for both in-classroom instruction and for solving homework problems associated with two courses covering topics in the broad areas of computational materials science, modeling and simulation, and engineering applications of HPC-enabled simulations. The evaluation of the tool via in-classroom student feedback and surveys shows that the ML-enhanced tool provides a dynamic and responsive simulation environment that enhances student learning. The improvement in the interactivity with the simulation framework in terms of real-time engagement and anytime access enables students to develop intuition for the physical system behavior through rapid visualization of variations in output quantities with changes in inputs.","PeriodicalId":269408,"journal":{"name":"2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129389621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Message from the Workshop Chairs 来自研讨会主席的信息

2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC) Pub Date : 2016-05-14 DOI: 10.1109/comhpc.2016.004

G. Engels, Arbi Ghazarian, P. Ralph

引用次数: 0