2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)最新文献_第2页

Case Study: Using Project Based Learning to Develop Parallel Programing and Soft Skills 案例研究:使用基于项目的学习来开发并行编程和软技能

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00059

Awad A. Younis, Rajshekhar Sunderraman, M. Metzler, A. Bourgeois

{"title":"Case Study: Using Project Based Learning to Develop Parallel Programing and Soft Skills","authors":"Awad A. Younis, Rajshekhar Sunderraman, M. Metzler, A. Bourgeois","doi":"10.1109/IPDPSW.2019.00059","DOIUrl":"https://doi.org/10.1109/IPDPSW.2019.00059","url":null,"abstract":"In today's environment, where every computer, including cell phones, are multicore, it is essential that students develop parallel programming skills. It remains a challenge to develop effective techniques for teaching parallel programing skills. Another challenge is finding time within already packed lectures to cover additional material. To that end, we investigate the effectiveness of using Project Based Learning (PBL) to teach parallel programming skills early in the curriculum by developing and incorporating a PBL module into CSc 3210 (Computer Organization and Programming). This is a core course taken by all computer science majors and is a prerequisite to many of our senior-level classes. In our case study, 124 students are organized into 26 diverse groups, with four or five students per group, and assigned five project assignments, each of two-weeks duration. Given a Raspberry PI, students will explore its multicore architecture and create programs for shared memory parallelism using OpenMP and C language. Our results show that incorporating this PBL module has a significant and direct effect on the student's growth in parallel programming skills. As a side benefit, we also show that there is a direct improvement on a student's personal growth in terms soft skills, which is essential in the professional development and success in the workplace. By having students experience PBL in an early class, close to the midpoint of the academic program, it can serve as a mini-capstone project. Furthermore, students can collaboratively learn by themselves (through teamwork) and apply the fundamentals of parallel programming skills without the need for separate lectures, labs, or workshops.","PeriodicalId":292054,"journal":{"name":"2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114703670","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: 9

A Distributed Wheel Sieve Algorithm 一种分布式轮筛算法

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00107

G. Paillard, F. França, C. Lavault

引用次数: 0

Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments 现代多核和多核环境下modlas应用的性能评价

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00129

S. Ohshima, Soichiro Suzuki, Tatsuya Sakashita, M. Ogino, T. Katagiri, Yoshimichi Andoh

引用次数: 0

Activity Based Approach for Teaching Parallel Computing: An Indian Experience 基于活动的并行计算教学方法:印度的经验

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00057

P. Chitra, S. Ghafoor

{"title":"Activity Based Approach for Teaching Parallel Computing: An Indian Experience","authors":"P. Chitra, S. Ghafoor","doi":"10.1109/IPDPSW.2019.00057","DOIUrl":"https://doi.org/10.1109/IPDPSW.2019.00057","url":null,"abstract":"Due to the rapid growth in the multicore and GPU based computing devices, the need to teach parallel computing in CS/CE curriculum has become almost mandatory nowadays. A course on Parallel Computing Systems (PCS) has been designed to provide an understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effectively utilize these machines. An activity based learning approach was adopted for teaching the course and several parallel programming paradigms and technologies such OpenMP, MPI, and CUDA have been covered. This course was offered as a required course to graduate students. This paper describes the implementation of the course at Thiagarajar College of Engineering. Evaluation of the implementation of the course reveals that for students who have not been exposed to parallel and distributed computing, i) activity based learning results in better knowledge gain compared to the traditional approach, ii) learning OpenMP was much easier than MPI or CUDA, iii) some Parallel and Distributed Computing (PDC) concepts such as false sharing were harder to grasp compared to basic concepts, and iv) it is essential to introduce parallel computing in the undergraduate curriculum.","PeriodicalId":292054,"journal":{"name":"2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116642425","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: 5

AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems 未来:预测下一代gpu加速系统硬件增强的工具

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00103

Hazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai, M. Ripeanu

引用次数: 1

VirtP4: An Architecture for P4 Virtualization VirtP4: P4虚拟化的架构

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00021

Mateus Saquetti, Guilherme Bueno, Weverton Cordeiro, J. Azambuja

引用次数: 8

Constraint Embedding for Solving Optimization Problems on Quantum Annealers 求解量子退火炉优化问题的约束嵌入

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00109

Tomás Vyskocil, H. Djidjev

引用次数: 2

Simulation Framework for Studying Optical Cable Failures in Dragonfly Topologies 蜻蜓拓扑下研究光缆故障的仿真框架

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00141

Tiffany Connors, Taylor L. Groves, Tony Quan, K. Hemmert

引用次数: 5

A GP Hyper-Heuristic Approach for Generating TSP Heuristics 一种生成TSP启发式的GP超启发式方法

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00094

Gabriel Duflo, Emmanuel Kieffer, Matthias R. Brust, Grégoire Danoy, P. Bouvry

引用次数: 20

A Case Study for an Accelerated DCNN on FPGA-Based Embedded Distributed System 基于fpga的嵌入式分布式系统加速DCNN实例研究

2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2019-05-20 DOI: 10.1109/IPDPSW.2019.00025

Anna Maria Nestorov, Alberto Scolari, Enrico Reggiani, Luca Stornaiuolo, M. Santambrogio

引用次数: 3