Parallel and Distributed Computing

Service description

Objectives and properties of parallel calculations. Classification of resources for parallel and distributed computations.
Decomposition of parallel problems. Definition of acceleration and efficiency of parallel calculation.
Total acceleration of the calculation. Amdahl's rule. Ways and means of using massive and
expansive parallelism in the program model of data parallelism. Characteristics of the model
SPMD and MPMD. Basic types of operations for passing messages between two processes.
Blocking and non-blocking operations.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: No

Paid training activity for participants: No, it's free of charge

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics); Domain-specific background knowledge

 

Level
Beginner
Scientific Domain
Mathematics
Category
Training events
Service valid until
Audience
Research and Academia
Provider
Location category
Language
Slovak
Technical Domain
Parallel programming
Format
In person
Initiative
Castiel and EuroCC
Country