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View general information Description The subject within the syllabus as a whole Information prior to enrolment Learning objectives and results Content View the UOC learning resources used in the subject Guidelines on assessment at the UOC View the assessment model | |||||
This is the course plan for the first semester of the academic year 2024/2025. To check whether the course is being run this semester, go to the Virtual Campus section More UOC / The University / Programmes of study section on Campus. Once teaching starts, you'll be able to find it in the classroom. The course plan may be subject to change. | |||||
In this subject, inside the Master's Degree in Computational Engineering and Mathematics, will try to deepen in the field of the High Performance Computation (HPC), seeing the different possibilities that offers us this field, the different levels of paradigms of programming, parallel and distributed applications, and the different hardware/software architectural solutions, that allow us work in this field (supercomputing, distributed systems, or new architectures like the GPUs). |
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This course delves into advanced concepts of hardware/software architectures for high-performance computing. It is a natural continuation of undergraduate courses in computer science related to the area of fundaments of Structure and Computer Architecture, as well as complementary to courses related to algorithm computing in different computing areas, offering solutions for the computation of algorithms with high temporal cost. | |||||
In this course, the main language to used is english, e.g. the reference materials to be used and the activities. Also in different course subjects we will use some current articles on the field of high performance computing, which are written in English.
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In this couse we plan to obtain the tools you will need to achieve the following objectives: 1. Understand the motivations behind high performance computing and parallelism. 2. Understand the fundamentals of parallelism, parallel architectures, and programming models, including those related to shared-memory systems and distributed-memory systems. 3. Learn about the fundamental concepts for programming GPU devices using graphic computing programming models. 4. Understand the fundamentals related to management systems for high performance systems and their components, planning policies, and performance and analysis for high performance systems. 5. Understand the fundamentals and technologies related to distributed computing as well as the paradigms of grid and cloud computing, including their relationship with high performance computing. 6. Understand the fundamentals, characteristics, and main lines of research related to green computing and energy efficiency, as well as to sustainable computing and sustainability. 7. Understand the current challenges facing high performance computing. |
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Module 1 Introduction to high performance computing Module 2 High performance architectures Module 3 Parallel programming and computing Module 4 High performance computing system architectures Module 5 Introduction to high performance distributed computing Module 6 Green computing 1. Fundamentals and basic concepts
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Assessment at the UOC is, in general, online, structured around the continuous assessment activities, the final assessment tests and exams, and the programme's final project. Assessment activities and tests can be written texts and/or video recordings, use random questions, and synchronous or asynchronous oral tests, etc., as decided by each teaching team. The final project marks the end of the learning process and consists of an original and tutored piece of work to demonstrate that students have acquired the competencies worked on during the programme. To verify students' identity and authorship in the assessment tests, the UOC reserves the right to use identity recognition and plagiarism detection systems. For these purposes, the UOC may make video recordings or use supervision methods or techniques while students carry out any of their academic activities. The UOC may also require students to use electronic devices (microphones, webcams or other tools) or specific software during assessments. It is the student's responsibility to ensure that these devices work properly. The assessment process is based on students' individual efforts, and the assumption that the student is the author of the work submitted for academic activities and that this work is original. The UOC's website on academic integrity and plagiarism has more information on this. Submitting work that is not one's own or not original for assessment tests; copying or plagiarism; impersonation; accepting or obtaining any assignments, whether for compensation or otherwise; collaboration, cover-up or encouragement to copy; and using materials, software or devices not authorized in the course plan or instructions for the activity, including artificial intelligence and machine translation, among others, are examples of misconduct in assessments that may have serious academic and disciplinary consequences. If students are found to be engaging in any such misconduct, they may receive a Fail (D/0) for the graded activities in the course plan (including final tests) or for the final grade for the course. This could be because they have used unauthorized materials, software or devices (such as artificial intelligence when it is not permitted, social media or internet search engines) during the tests; copied fragments of text from an external source (the internet, notes, books, articles, other students' work or tests, etc.) without the corresponding citation; purchased or sold assignments, or undertaken any other form of misconduct. Likewise and in accordance with the UOC's academic regulations, misconduct during assessment may also be grounds for disciplinary proceedings and, where appropriate, the corresponding disciplinary measures, as established in the regulations governing the UOC community (Normativa de convivència). In its assessment process, the UOC reserves the right to:
Artificial intelligence in assessments The UOC understands the value and potential of artificial intelligence (AI) in education, but it also understands the risks involved if it is not used ethically, critically and responsibly. So, in each assessment activity, students will be told which AI tools and resources can be used and under what conditions. In turn, students must agree to follow the guidelines set by the UOC when it comes to completing the assessment activities and citing the tools used. Specifically, they must identify any texts or images generated by AI systems and they must not present them as their own work. In terms of using AI, or not, to complete an activity, the instructions for assessment activities indicate the restrictions on the use of these tools. Bear in mind that using them inappropriately, such as using them in activities where they are not allowed or not citing them in activities where they are, may be considered misconduct. If in doubt, we recommend getting in touch with the course instructor and asking them before you submit your work. |
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