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11 - 12 October 2016

GPU Programming with CUDA

Location

B07 | (link Map)
1-19 Torrington Place | London | WC1E 7HB | United Kingdom

Open to: Academic | Student
Admission: Free
Ticketing: Ticketed and Pre-booking essential

Almost all modern computers now have a shared-memory architecture with multiple CPUs connected to the same physical memory, for example multicore laptops or large multi-processor compute servers. This course covers OpenMP, the industry standard for shared-memory programming, which enables serial programs to be parallelised easily using compiler directives. Users of desktop machines can use OpenMP on its own to improve program performance by running on multiple cores; users of parallel supercomputers can use OpenMP in conjunction with MPI to better exploit the shared-memory capabilities of the compute nodes.

This two-day course will cover an introduction to the fundamental concepts of the shared variables model, followed by the syntax and semantics of OpenMP and how it can be used to parallelise real programs. Hands-on practical programming exercises make up a significant, and integral, part of this course.


Contact

Louise Chisholm
eresearch@ucl.ac.uk


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