Developing theoretical foundations and practical skills required for understanding and development of
\nparallel computer programs. Students will learn the key concepts and issues related to the
\nimplementation of parallel algorithms and will be acquainted with the relevant characteristics of modern
\nparallel computing systems. They will be capable of designing and using parallel algorithms for problem-solving.<\/p>\n
Parallel computing systems and Flynn’s taxonomy. Limits of parallelisation, Amdahl\u2019s and Gustafson’s
\nlaws. Shared, local and distributed memories. Performance of parallel algorithms. Analysing a problem in
\norder to identify possible routes to parallelisation. Short introduction to Python. Introduction to basic
\nconcepts of parallel programming based on examples in Python. Parallelisation through multithreading.
\nParallelisation through multiprocessing. Synchronisation, barriers and semaphores. Manycore and GP-
\nGPU software development. CUDA and pyCUDA frameworks. Vectorisation through Intel AVX instruction
\nset. Dataflow programming.<\/p>\n
Estimating the speedup and efficiency which can be obtained through parallelisation. Practical
\nintroduction to Python and software development using Jupyter\/Google Colab environments.
\nParallelisation through multithreading and the limitations of the Python interpreter (Global Interpreter
\nLock). Parallelisation through multiprocessing. Synchronisation and inter-process communication.
\nExamples of parallel algorithms from the domains of scientific computing, business applications and
\ngraph processing. CUDA programming framework. Examples of programs written using CUDA, and
\nexecution through pyCUDA, Jyputer Lab and Google Cloud.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Developing theoretical foundations and practical skills required for understanding and development of parallel computer programs. Students will learn the key concepts and issues related to the implementation of parallel algorithms and will … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-13832","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n