Master Meetings 17 April 2018 - Master in Computational Science

Master Meetings - Master in Computational Science, 17 April at 10:30–17:15, at USI, SI-007 AND 006, Informatics Building. 

Have you decided on which Master programme to study? Would you like more information on the contents and teaching methods at USI? Register at our Master Meetings to attend courses.The various Master Meetings offer you the opportunity to follow lectures together with the current master students. Guided by a USI student, you can visit the campus and make up your mind as to whether the contents correspond to your study ambitions.

Registration is compulsory. Please register online:

10:30-12:15SI-007, Informatics Building
Advanced Computer Architectures
Prof. Laura Pozzi 

The course builds on previous knowledge in basic computer architecture, and visits the major techniques devised to get higher performance from a single processor, and, later on, from multi-processors. It describes the concepts of pipelined CPUs, cache architecture and optimization, Instruction-Level parallelism (Superscalar and VLIW architectures), Thread-Level parallelism (fine-grained, coarse-grained, simultaneous multithreading), Data-level parallelism (Vector architectures), and shared-memory multi-processing. The course also includes a project where the Simplescalar and Watch simulation tools are used to perform design-space exploration, and to understand the tradeoffs that computer architects must consider between performance and cost.

13:30-15:15SI-007, Informatics Building 
Prof. Vittorio Limongelli

We deal with the most commonly used algorithms in biological applications. The first part of the course is dedicated to data mining algorithms and other classification methods such as random forest and other learning methods. We explore how to use such algorithms to build 3D structures of proteins (e.g., using homology modeling) and analyse a large amount of data (e.g., genome analysis). The second part is focused on molecular docking algorithms and high throughput screening protocols used in virtual screening calculations.

15:30-17:15SI-006, Informatics Building
Multiscale Methods
Prof. Rolf Krause

In this course, we present the state of the art for linear as well as nonlinear multilevel and multigrid methods. The solution of large linear and nonlinear systems of equations is one of the most important tasks in numerical simulation. Since standard solution methods do not scale optimally , alternative solution strategies have been developed during the last decades. In particular multilevel or multiscale solution strategies have been developed, which are often employed due to their high efficiency. Prominent examples are multilevel or domain decomposition methods for linear elliptic problems, In this course, we start from well known subspace correction methods for linear problems and proceed to more recent developments as are nonlinear multigrid and monotone multigrid. Finally, we will consider (recursive) trust-region methods and their application to minimization problems in computational mechanics. For all methods, we will also discuss their parallelization. 

Link Fb Event:

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