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aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and
aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and energy efficiency characteristics;
offers a deep understanding of different topics in the areas of computer architecture, computer graphics and real-time systems, which are required to master the design of future computer systems that achieve exceptional computational performance (using general purpose and accelerator processing elements) and energy efficiency for demanding emerging applications;
offers the possibility to dive deep into innovation and entrepreneurship, with special emphasis on how technical ideas can be transformed into businesses either as a startup or as part of existing organizations.
The Programme includes courses on advanced computer architecture as well as techniques to help deliver high performance from parallel programs. In addition, the programme offers the possibility for students to specialize in the areas of computer architectures and sustainable computing, computer graphics, or real-time systems. In addition, the students may also choose a track on Entrepreneurship. As part of their training, the students are offered a course covering generic skills such as technical writing and presentation, research methodology, and ethics.
In addition to the compulsory and specialization courses, which offer the necessary depth, the students are free to choose elective courses, giving them a breadth into related areas such as computational science and machine learning.
Finally, in order to complete the programme the students have to complete a 30 credit Master Thesis project where the acquired knowledge and skills are put into practice. This project offers the opportunity for students to work with world-renowned top faculty researchers that are involved in key projects related to the HPC strategy such as the European Processor Initiative (EPI) and use a variety of advanced systems available at the SNIC Science Cloud and the Chalmers Center for Computational Science and Engineering (C3SE).
aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and
aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and energy efficiency characteristics;
offers a deep understanding of different topics in the areas of computer architecture, computer graphics and real-time systems, which are required to master the design of future computer systems that achieve exceptional computational performance (using general purpose and accelerator processing elements) and energy efficiency for demanding emerging applications;
offers the possibility to dive deep into innovation and entrepreneurship, with special emphasis on how technical ideas can be transformed into businesses either as a startup or as part of existing organizations.
The Programme includes courses on advanced computer architecture as well as techniques to help deliver high performance from parallel programs. In addition, the programme offers the possibility for students to specialize in the areas of computer architectures and sustainable computing, computer graphics, or real-time systems. In addition, the students may also choose a track on Entrepreneurship. As part of their training, the students are offered a course covering generic skills such as technical writing and presentation, research methodology, and ethics.
In addition to the compulsory and specialization courses, which offer the necessary depth, the students are free to choose elective courses, giving them a breadth into related areas such as computational science and machine learning.
Finally, in order to complete the programme the students have to complete a 30 credit Master Thesis project where the acquired knowledge and skills are put into practice. This project offers the opportunity for students to work with world-renowned top faculty researchers that are involved in key projects related to the HPC strategy such as the European Processor Initiative (EPI) and use a variety of advanced systems available at the SNIC Science Cloud and the Chalmers Center for Computational Science and Engineering (C3SE).
Bachelor’s degree (or the equivalent) with a major in: Computer Engineering, Computer Science, Automation and Mechatronics, Electrical Engineering, Engineering Physics, Software Engineering or related subjects.
Prerequisites: Mathematics (including Calculus (at least 7,5 credits) and Linear algebra (at least 7,5 credits)), Programming in a general-purpose language (e.g. C/C++/Java/Haskell or similar) (at least 7,5 credits); Introduction to Computer Engineering (at least 7,5 credits); and one of the following courses: Discrete mathematics and/or Mathematical statistics and/or Probability theory and/or Algorithms and/or Data structures (at least 7,5 credits)
Preferable course experience: Basic computer organisation, Machine-oriented programming, Principles of concurrent programming, Mathematical modelling and problem-solving.
2 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic Students
-
-
International Students
160,000 SEK
-
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
High-Performance Computer Systems, MSc
Campus Johanneberg, Gothenburg, Sweden
# 163QS Subject Rankings
24 monthsProgram duration
160,000 SEKTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master’s Programme in High-performance computer systems:
Read more
The Master’s Programme in High-performance computer systems:
- aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and energy efficiency characteristics;
- offers a deep understanding of different topics in the areas of computer architecture, computer graphics and real-time systems, which are required to master the design of future computer systems that achieve exceptional computational performance (using general purpose and accelerator processing elements) and energy efficiency for demanding emerging applications;
- offers the possibility to dive deep into innovation and entrepreneurship, with special emphasis on how technical ideas can be transformed into businesses either as a startup or as part of existing organizations.
The Programme includes courses on advanced computer architecture as well as techniques to help deliver high performance from parallel programs. In addition, the programme offers the possibility for students to specialize in the areas of computer architectures and sustainable computing, computer graphics, or real-time systems. In addition, the students may also choose a track on Entrepreneurship. As part of their training, the students are offered a course covering generic skills such as technical writing and presentation, research methodology, and ethics.In addition to the compulsory and specialization courses, which offer the necessary depth, the students are free to choose elective courses, giving them a breadth into related areas such as computational science and machine learning.
Finally, in order to complete the programme the students have to complete a 30 credit Master Thesis project where the acquired knowledge and skills are put into practice. This project offers the opportunity for students to work with world-renowned top faculty researchers that are involved in key projects related to the HPC strategy such as the European Processor Initiative (EPI) and use a variety of advanced systems available at the SNIC Science Cloud and the Chalmers Center for Computational Science and Engineering (C3SE).
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master’s Programme in High-performance computer systems:
Read more
The Master’s Programme in High-performance computer systems:
- aims to provide a comprehensive understanding of how a complete computer system consisting of multiple layers of software and hardware interact to provide ultimate functionality, performance and energy efficiency characteristics;
- offers a deep understanding of different topics in the areas of computer architecture, computer graphics and real-time systems, which are required to master the design of future computer systems that achieve exceptional computational performance (using general purpose and accelerator processing elements) and energy efficiency for demanding emerging applications;
- offers the possibility to dive deep into innovation and entrepreneurship, with special emphasis on how technical ideas can be transformed into businesses either as a startup or as part of existing organizations.
The Programme includes courses on advanced computer architecture as well as techniques to help deliver high performance from parallel programs. In addition, the programme offers the possibility for students to specialize in the areas of computer architectures and sustainable computing, computer graphics, or real-time systems. In addition, the students may also choose a track on Entrepreneurship. As part of their training, the students are offered a course covering generic skills such as technical writing and presentation, research methodology, and ethics.In addition to the compulsory and specialization courses, which offer the necessary depth, the students are free to choose elective courses, giving them a breadth into related areas such as computational science and machine learning.
Finally, in order to complete the programme the students have to complete a 30 credit Master Thesis project where the acquired knowledge and skills are put into practice. This project offers the opportunity for students to work with world-renowned top faculty researchers that are involved in key projects related to the HPC strategy such as the European Processor Initiative (EPI) and use a variety of advanced systems available at the SNIC Science Cloud and the Chalmers Center for Computational Science and Engineering (C3SE).
Read lessAdmission Requirements
Tuition fees
Domestic Students
International Students
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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