Concept
Traitement massivement parallèle
Cours associés (29)
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With the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and
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Learn the concepts, tools and API's that are needed to debug, test, optimize and parallelize a scientific application on a cluster from an existing code or from scratch. Both OpenMP (shared memory) an
MATH-454: Parallel and high-performance computing
This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about wh
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ME-474: Numerical flow simulation
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CS-451: Distributed algorithms
Computing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machin
MATH-458: Programming concepts in scientific computing
The aim of this course is to provide the background in scientific computing. The class includes a brief introduction to basic programming in c++, it then focus on object oriented programming and c++ s
CS-206: Parallelism and concurrency
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CS-119(a): Information, Computation, Communication
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liés aux systèmes: ordi
CS-460: Systems for data management and data science
This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for