35383 High Performance Computing
6cp; 4hpwRequisite(s): (35281 Numerical Methods OR (31267 Programming Fundamentals AND 35212 Computational Linear Algebra))
Many quantitative problems, such as the pricing of exotic financial options or modelling large-scale ecological systems, cannot be solved analytically. Instead, computational solutions must be found, sometimes by methods that require high-performance parallel computers or grid computing techniques. This subject introduces students to the structure and characteristics of the major types of parallel computer systems and to methods for the design and implementation of parallel numerical codes in a modern scientific programming language. Topics include: the Fortran 95 language including arrays and array operations; procedures and interface blocks, modules, recursive procedures, pointers and dynamic data structures; practicalities of programming in a batch environment; debugging; checkpointing; the MPI library and MIMD programming in a distributed memory environment; OpenMP and shared memory MIMD programming with thread.
Typical availability
Autumn semester, City campus
Fee information
2009 contribution for post-2008 Commonwealth-supported students: $926.50
Note: Students who commenced prior to 1 January 2008 should consult the Student contribution charges for Commonwealth supported students
Not all students are eligible for Commonwealth Supported places.
2009 amount for undergraduate domestic fee-paying students: $2,500.00
Note: Fees for Postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the Annual Fees Schedule.
Subject EFTSL: 0.125Access conditions
Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at Access conditions and My Student Admin.
