Embedded Parallel Computing
Halmstad University
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Pace of study: 50 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: DO8003
The course is intended to provide knowledge of how parallel computing can be used as a way to meet application demands in embedded systems, such as performance and power efficiency. Further, it is intended to give a general insight into current research and development in regard to parallel architectures and computation models. Parallelism of various types exists in all modern computer architectures, and knowledge about how to apply parallelism is necessary, in particular, when designing embedded computer systems.
Courses in computer science, computer engineering and electrical engineering of at least 90 credits. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. The courses Artificial Intelligence 7.5 credits, Engineering Mathematics 7.5 credits and Algorithms, Data Structures and Problem Solving 7.5 credits or Real-Time Embedded Systems 7.5 credits. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Halmstad University
Start date:
End date:
Pace of study: 50 %
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Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2025-09-07T21:54:57