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Cloud and high performance computing is one of the fastest growing computing areas, whose job market is growing rapidly across the globe. This interdisciplinary program is designed to equip students with the needed knowledge to design, build, operate, use, and maintain large systems designed for hosting cloud applications or running compute-intensive tasks for simulation and other purposes, as well as small computing modules designed to operate the edge of the network. This skill is highly demanded in numerous sectors: energy, healthcare, telecommunications, big data, e-commerce, defense, etc.
This program provides in-depth coverage of modern computing architectures and programming paradigms. Topics include parallel process architectures (parallel and pipelined dataflow, vectorization methods, interconnection, etc.), GPU architecture (functional units, CUDA, memory access coalescing, shared memory usage, etc.), distributed computing (threads, and abstraction, mutual exclusion, condition variables, atomic instructions, etc.), and quantum computing (qubits, entanglement, quantum protocols, quantum machine learning, etc.). The program also covers cloud and edge computing (cloud services, RESTful APIs, XaaS pyramid, serverless computing, cloud big data processing, etc.), parallel algorithms (divide-and-conquer, parallel prefix, pointer jumping, list ranking, Euler's path, ear decomposition, parallel complexity etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.). Essential knowledge of linear algebra is also included (e.g. direct methods for large sparse linear systems, LU factorizations, regularization of ill-conditioned least squares problems).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSci
Study Level
Masters
Study Mode
Blended
Cloud and high performance computing is one of the fastest growing computing areas, whose job market is growing rapidly across the globe. This interdisciplinary program is designed to equip students with the needed knowledge to design, build, operate, use, and maintain large systems designed for hosting cloud applications or running compute-intensive tasks for simulation and other purposes, as well as small computing modules designed to operate the edge of the network. This skill is highly demanded in numerous sectors: energy, healthcare, telecommunications, big data, e-commerce, defense, etc.
This program provides in-depth coverage of modern computing architectures and programming paradigms. Topics include parallel process architectures (parallel and pipelined dataflow, vectorization methods, interconnection, etc.), GPU architecture (functional units, CUDA, memory access coalescing, shared memory usage, etc.), distributed computing (threads, and abstraction, mutual exclusion, condition variables, atomic instructions, etc.), and quantum computing (qubits, entanglement, quantum protocols, quantum machine learning, etc.). The program also covers cloud and edge computing (cloud services, RESTful APIs, XaaS pyramid, serverless computing, cloud big data processing, etc.), parallel algorithms (divide-and-conquer, parallel prefix, pointer jumping, list ranking, Euler's path, ear decomposition, parallel complexity etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.). Essential knowledge of linear algebra is also included (e.g. direct methods for large sparse linear systems, LU factorizations, regularization of ill-conditioned least squares problems).
Admission Requirements
2 Years
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 and Cloud Computing
KFUPM Main Campus, Dhahran, Saudi Arabia
# =105QS Subject Rankings
24 monthsProgramme duration
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSci
Study Level
Masters
Study Mode
Blended
Cloud and high performance computing is one of the fastest growing computing areas, whose job market is growing rapidly across the globe. This interdisciplinary program is designed to equip students with the needed knowledge to design, build, operate, use, and maintain large systems designed for hosting cloud applications or running compute-intensive tasks for simulation and other purposes, as well as small computing modules designed to operate the edge of the network. This skill is highly demanded in numerous sectors: energy, healthcare, telecommunications, big data, e-commerce, defense, etc.
This program provides in-depth coverage of modern computing architectures and programming paradigms. Topics include parallel process architectures (parallel and pipelined dataflow, vectorization methods, interconnection, etc.), GPU architecture (functional units, CUDA, memory access coalescing, shared memory usage, etc.), distributed computing (threads, and abstraction, mutual exclusion, condition variables, atomic instructions, etc.), and quantum computing (qubits, entanglement, quantum protocols, quantum machine learning, etc.). The program also covers cloud and edge computing (cloud services, RESTful APIs, XaaS pyramid, serverless computing, cloud big data processing, etc.), parallel algorithms (divide-and-conquer, parallel prefix, pointer jumping, list ranking, Euler's path, ear decomposition, parallel complexity etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.). Essential knowledge of linear algebra is also included (e.g. direct methods for large sparse linear systems, LU factorizations, regularization of ill-conditioned least squares problems).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSci
Study Level
Masters
Study Mode
Blended
Cloud and high performance computing is one of the fastest growing computing areas, whose job market is growing rapidly across the globe. This interdisciplinary program is designed to equip students with the needed knowledge to design, build, operate, use, and maintain large systems designed for hosting cloud applications or running compute-intensive tasks for simulation and other purposes, as well as small computing modules designed to operate the edge of the network. This skill is highly demanded in numerous sectors: energy, healthcare, telecommunications, big data, e-commerce, defense, etc.
This program provides in-depth coverage of modern computing architectures and programming paradigms. Topics include parallel process architectures (parallel and pipelined dataflow, vectorization methods, interconnection, etc.), GPU architecture (functional units, CUDA, memory access coalescing, shared memory usage, etc.), distributed computing (threads, and abstraction, mutual exclusion, condition variables, atomic instructions, etc.), and quantum computing (qubits, entanglement, quantum protocols, quantum machine learning, etc.). The program also covers cloud and edge computing (cloud services, RESTful APIs, XaaS pyramid, serverless computing, cloud big data processing, etc.), parallel algorithms (divide-and-conquer, parallel prefix, pointer jumping, list ranking, Euler's path, ear decomposition, parallel complexity etc.), and big data analytics (smart clouds, machine learning and visualization of big data, privacy, etc.). Essential knowledge of linear algebra is also included (e.g. direct methods for large sparse linear systems, LU factorizations, regularization of ill-conditioned least squares problems).
Admission Requirements
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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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