This course is offered in the Winter semester and is open to graduate students enrolled in the Computational Science and Engineering specialization. This course covers the principles and practices of current high performance computing architecture and software, such as parallel, massively parallel, and grid computing. Advanced tools for analyzing and optimizing the performance of algorithms important to computational science and engineering will be introduced. This course is offered jointly with CISC 811*. Graduate students not enrolled in the CSE specialization and advanced undergraduate students interested in taking this course must register in CISC 811*. The Queen's CSE management committee may cap enrollment, in which case students in the CSE specialization have priority.
This course is offered in the Winter semester and is open to graduate students enrolled in the Computational Science and Engineering specialization. This course covers the principles and practices of current high performance computing architecture and software, such as parallel, massively parallel, and grid computing. Advanced tools for analyzing and optimizing the performance of algorithms important to computational science and engineering will be introduced. This course is offered jointly with CISC 811*. Graduate students not enrolled in the CSE specialization and advanced undergraduate students interested in taking this course must register in CISC 811*. The Queen's CSE management committee may cap enrollment, in which case students in the CSE specialization have priority.
