High Performance Scientific Computing - ANU Programs and Courses. Programs and Courses Search query Search ANU web, staff & maps Search current site content Search Programs and Courses Courses COMP6464 Course High Performance Scientific Computing A graduate course offered by the School of Computing. COMP6464 Academic Year 2021 2022 2021 2020 2019 2018 2017 2016 2015 2014 Code COMP6464 Unit Value 6 units Academic Codes Offered by School of Computing ANU College ANU College of Engineering and Computer Science Classification Advanced Course subject Computer Science Areas of interest Computer Science, Information Technology Academic career PGRD Course convener Dr Giuseppe Maria Junior Barca Mode of delivery In Person Offered in Second Semester 2021 See Future Offerings Tweet Share on Facebook Wattle Share SELT Survey Results Overview Study Fees Class Code COMP6464 Unit Value 6 units Offered by School of Computing ANU College ANU College of Engineering and Computer Science Classification Advanced Course subject Computer Science Areas of interest Computer Science, Information Technology Academic career PGRD Course convener Dr Giuseppe Maria Junior Barca Mode of delivery In Person Offered in Second Semester 2021 See Future Offerings Tweet Share on Facebook Wattle Share SELT Survey Results High Performance Scientific Computing (COMP6464) Introduction Learning Outcomes Indicative Assessment Workload Requisite and Incompatibility Prescribed Texts Assumed Knowledge Fees Offerings and Dates Course has been adjusted for remote participation in 2021. Some on-campus activities are available. Attendance at these where possible is encouraged. This course provides an introduction to High Performance Computing with an orientation towards applications in science and engineering. Aspects of numerical computing and the design and construction of sophisticated scientific software will be considered. The focus will be on the C and C++ programming languages, although reflecting the reality of modern scientific computation this course will also touch on other languages such as Python, Java and FORTRAN95. The course will study high performance computer architectures, including modern parallel processors, and will describe how an algorithm interacts with these architectures. It will also look at practical methods of estimating and measuring algorithm/architecture performance. The following topics will be addressed: the C++ programming language; basic numerical computing from aspects of floating point error analysis to algorithms for solving differential equations; the engineering of scientific software; general high performance computing concepts and architectural principles; modern scalar architectures and their memory structure; performance and programmability issues, and program analysis techniques for high performance computing; parallel computing paradigms and programming using the OpenMP standard; trends in HPC systems. Learning Outcomes Upon successful completion, students will have the knowledge and skills to: Upon completion of the course, students should: appreciate the building blocks of scientific and engineering software. demonstrate a basic knowledge of numerical computing using an appropriate programming language. be competent in experimental computing in a numerical context and of the optimisation of algorithms on high performance architectures. be able to reason about the accuracy of mathematical and numerical models of real physical phenomena. have an awareness of the modern field of computational science and engineering and of the impact of high performance computing on science and industry. have an understanding of the various paradigms of high performance computing and their potential for performance and programmability. be capable of writing algorithms that yield good performance on high-performance architectures, and to be able to estimate and evaluate their performance. Indicative Assessment Assignment (40%); Mid semester exam (10%); Final Exam (50%) The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website. Workload Thirty one-hour lectures and six two-hour tutorial/laboratory sessions Requisite and Incompatibility To enrol in this course you must be studying Master of Computing or have successfully completed COMP6700 or COMP6710. Prescribed Texts Buyya, R. High Performance Cluster Computing: Programming and Applications, Prentice Hall, Upper Saddle River, New Jersey 1999. Dowd, K. & Severance, C. High Performance Computing, 2nd edition, O'Reilly & Associates Inc, 1998. Fosdick, L.D. Jessup, E.R., Schauble, C.J.C. & Domik,G., An Introduction to High-Performance Scientific Computing, The MIT Press, 1996. Heath, M.T. Scientific Computation - An Introductory Survey, McGraw-Hill, 1997. Assumed Knowledge Ability to develop small to medium sized programs in C/C++. Basic knowledge of computer systems. Mathematical skills equivalent to those normally taught in introductory courses at a university. Fees Tuition fees are for the academic year indicated at the top of the page. Commonwealth Support (CSP) Students If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees. Student Contribution Band: 2 Unit value: 6 units If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees. Where there is a unit range displayed for this course, not all unit options below may be available. Units EFTSL 6.00 0.12500 Course fees Domestic International Domestic fee paying students Year Fee 2021 $4410 International fee paying students Year Fee 2021 $5880 Note: Please note that fee information is for current year only. Offerings, Dates and Class Summary Links The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2021 2022 2023 Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 7625 26 Jul 2021 02 Aug 2021 14 Sep 2021 29 Oct 2021 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 2745 21 Feb 2022 28 Feb 2022 31 Mar 2022 27 May 2022 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 2665 20 Feb 2023 27 Feb 2023 31 Mar 2023 26 May 2023 In Person N/A Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions Contact ANU Campus Map Copyright Disclaimer Privacy Freedom of Information +61 2 6125 5111 The Australian National University, Canberra CRICOS Provider : 00120C ABN : 52 234 063 906
