Filling the gap between education and industry: evidence-based methods for introducing undergraduate students to HPC

Educational institutions provide in most cases basic theoretical background covering several computational science topics, however High Performance Computing (HPC) and Parallel and Distributed Computing (PDC) markets require specialized technical profiles. Even the most skilled students are often not prepared to face production HPC applications of thousands of lines nor complex computational frameworks from other disciplines nor heterogeneous multinode machines accessed by hundreds of users. In this paper, we offer an educational package for filling this gap. Leveraging the 4-years experience of the Student Cluster Competition, we present our educational journey together with the lessons learned and the outcomes of our methodology. We show how, in a time span of a semester and an affordable budget, a university can implement an educational package preparing pupils for starting competitive professional careers. Our findings also highlight that 78% of the students exposed to our methods remain within the HPC high-education, research or industry.The authors of this paper and the participants in the SCC have been supported by the European Community’s Seventh Framework Programme [FP7/2007-2013] and Horizon 2020 under the Mont-Blanc projects, grant agreements n. 288777, 610402 and 671697; the HPC Advisory Council; the Facultat d’Informàtica de Barcelona – Universitat Politècnica de Catalunya; Arm Ltd.; Cavium Inc.; E4 Computer Engineering. We warmly thank Luna Backes Drault for her unconditioned dedication to the SCC cause in the early days and the pizzeria 7bello in Frankfurt for always having a table and a smile for us.SiPreprin

Minimum time, maximum effect : introducing parallel computing in CS0 and STEM outreach activities using Scratch

Daniel Andresen, Ph.D. is an associate professor of Computing & Information Sciences at Kansas State University and Director of the Institute for Computational Research. His research includes embedded and distributed computing, biomedical systems, and high performance scientific computing. Dr. Andresen coordinates the activities of the K-State research computing cluster, Beocat, and advises the local chapter of the Association for Computing Machinery (ACM). He is a National Science Foundation CAREER award winner, and has been granted research funding from the NSF, the Defense Advanced Research Projects Agency (DARPA), and industry. He is a member of the Association for Computing Machinery, the IEEE Computer Society, the Electronic Frontier Foundation, and the American Society for Engineering Education.Presented at the Oklahoma Supercomputing Symposium 2014, September 23, 2014.This talk discusses our experiences and outcomes using Scratch to teach parallel computing concepts to students just learning about computer science. We presented versions of this material to middle school and high school girls during a summer camp and then to undergraduate university students enrolled in an introductory computer science course. Using the Scratch development environment, students were able to build, modify and observe the changes in the performance of applications that utilize multi-threaded, concurrent operations. This includes some scenarios that involve more advanced topics, such as race conditions. We first used this exercise in Summer 2013 with a group of middle school girls as part of a summer STEM camp at Kansas State University. After our lesson, 22 of 41 students surveyed showed an interest in a job using high performance computing to solve problems, and 27 of 37 said they were capable of learning to write computer programs.University of Oklahoma The University of Oklahoma Department of Information Technology The University of Oklahoma Supercomputing Center for Education and Research Kansas State UniversityN

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Does choice of programming language affect student understanding of programming concepts in a first year engineering course?

Most undergraduate engineering curricula include computer programming to some degree,introducing a structured language such as C, or a computational system such as MATLAB, or both. Many of these curricula include programming in first year engineering courses, integrating the solution of simple engineering problems with an introduction to programming concepts. In line with this practice, Roger Williams University has included an introduction to programming as a part of the first year engineering curriculum for many years. However, recent industry and pedagogical trends have motivated the switch from a structured language (VBA) to a computational system (MATLAB). As a part of the pilot run of this change,the course instructors felt that it would be worthwhile to verify that changing the programming language did not negatively affect students’ ability to understand key programming concepts. In particular it was appropriate to explore students’ ability to translate word problems into computer programs containing inputs, decision statements, computational processes, and outputs. To test the hypothesis that programming language does not affect students’ ability to understand programming concepts, students from consecutive years were given the same homework assignment, with the first cohort using VBA and the second using MATLAB to solve the assignment. A rubric was developed which allowed the investigators to rate assignments independent of programming language. Results from this study indicate that there is not a significant impact of the change in programming language. These results suggest that the choice of programming language likely does not matter for student understanding of programming concepts. Course instructors should feel free to select programming language based on other factors, such as market demand, cost, or the availability of pedagogical resources

Development and Evaluation of the Nebraska Assessment of Computing Knowledge

One way to increase the quality of computing education research is to increase the quality of the measurement tools that are available to researchers, especially measures of students’ knowledge and skills. This paper represents a step toward increasing the number of available thoroughly-evaluated tests that can be used in computing education research by evaluating the psychometric properties of a multiple-choice test designed to differentiate undergraduate students in terms of their mastery of foundational computing concepts. Classical test theory and item response theory analyses are reported and indicate that the test is a reliable, psychometrically-sound instrument suitable for research with undergraduate students. Limitations and the importance of using standardized measures of learning in education research are discussed

Female Under-Representation in Computing Education and Industry - A Survey of Issues and Interventions

This survey paper examines the issue of female under-representation in computing education and industry, which has been shown from empirical studies to be a problem for over two decades. While various measures and intervention strategies have been implemented to increase the interest of girls in computing education and industry, the level of success has been discouraging. The primary contribution of this paper is to provide an analysis of the extensive research work in this area. It outlines the progressive decline in female representation in computing education. It also presents the key arguments that attempt to explain the decline and intervention strategies. We conclude that there is a need to further explore strategies that will encourage young female learners to interact more with computer educational games

A Competency-based Approach toward Curricular Guidelines for Information Technology Education

The Association for Computing Machinery and the IEEE Computer Society have launched a new report titled, Curriculum Guidelines for Baccalaureate Degree Programs in Information Technology (IT2017). This paper discusses significant aspects of the IT2017 report and focuses on competency-driven learning rather than delivery of knowledge in information technology (IT) programs. It also highlights an IT curricular framework that meets the growing demands of a changing technological world in the next decade. Specifically, the paper outlines ways by which baccalaureate IT programs might implement the IT curricular framework and prepare students with knowledge, skills, and dispositions to equip graduates with competencies that matter in the workplace. The paper suggests that a focus on competencies allows academic departments to forge collaborations with employers and engage students in professional practice experiences. It also shows how professionals and educators might use the report in reviewing, updating, and creating baccalaureate IT degree programs worldwide

Summer learning experience for girls in grades 7–9 boosts confidence and interest in computing careers

Academic exposure to computer science, encouragement to study computer science, and connecting personal interests to computing areas influence women to pursue degrees in computer science. Guided by these recommendations, we designed and offered a summer learning experience for girls in grades 7--9 in summer 2016. The goal of the program was to improve girls\u27 perceptions of learning computer science through academic exposure in the informal setting of a girls-only summer camp. In this paper we present a study of the girls\u27 perceptions of CS learning. Four constructs were used to develop pre- and post-survey items: computing confidence, intent to persist, social supports, and computing outcomes expectations. The camp appeared to have positively influenced the girls on two of the four constructs, by improving computing confidence and positive perceptions of computing careers