Parallel Numerics at TU München

Flashcards and summaries for Parallel Numerics at the TU München

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Study with flashcards and summaries for the course Parallel Numerics at the TU München

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

Get/set of the number of threads in OpenMP

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

Name two alternative matrix products

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What does SPMD mean?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What's a Single Step / Gauss-Seidel iterative method?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What's a full-step/Jacobi iterative method?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What types of dependency graphs (in terms of time span) will appear?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What are MIMD Machines?

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What does SIMD mean?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

Can an eigenvalue problem of a non-square matrix be formulated? 

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

When shall we use collective operations?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What do sections do on OpenMP?

Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

What's the partitioning of the data that happens when we choose schedule(static)?

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Exemplary flashcards for Parallel Numerics at the TU München on StudySmarter:

Parallel Numerics

Get/set of the number of threads in OpenMP

omp_set_num_threads(inthreads)

nThreads = omp_get_num_threads()

Parallel Numerics

Name two alternative matrix products

Hadamard product: Element-wise product

Kronecker product: Tensor product

Parallel Numerics

What does SPMD mean?

Single program multiple data. All processes run the same program but different data

Parallel Numerics

What's a Single Step / Gauss-Seidel iterative method?

The method will depend on the former and same timestep (implicit) values. It reduces parallelism and ordering becomes relevant. Speeds up convergence.

Parallel Numerics

What's a full-step/Jacobi iterative method?

The values of the next time step will depend only on those of the previous one. Not the same (implicit) nor former ones (multi-step)

Parallel Numerics

What types of dependency graphs (in terms of time span) will appear?

Single-timestep graphs: Reflect the dependencies amongst two contiguous timesteps (Cyclic). Only possible for single-step-methods.

Iterative graphs: Represent 2 or more time steps of an iterative process. Open ends. Valid for all methods independently of step type. 

Parallel Numerics

What are MIMD Machines?

Multiples sets of instructions on different sets of data. This machines can achieve universality.

Parallel Numerics

What does SIMD mean?

Single instruction multiple data means that synchronized operations are performed over a vector. Think of vectorized sums or multiplications.

Parallel Numerics

Can an eigenvalue problem of a non-square matrix be formulated? 

Hell no! But there is an alternative formulation, called singular values and vectors 

Parallel Numerics

When shall we use collective operations?

Whenever we want to perform a communication action involving all the processes in a given communicator. 

First try with collective -> If not possible to implement, go for point to point

Parallel Numerics

What do sections do on OpenMP?

With sections, you give the compiler a cue that every section should be run by a different thread

Parallel Numerics

What's the partitioning of the data that happens when we choose schedule(static)?

blocksize = iteration space/number of processors

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