Computação de Alto Desempenho

Understand:

• Specificities of parallel vs. sequential execution
• Different types of parallel architectures
• Shared memory and message passing programming models
• Methodologies for developing solutions that utilize parallel computing
• Metrics for evaluating a parallel program
• Programming and execution models of GPUs
• Programming and execution models of data parallel frameworks

Be able to:

• Identify opportunities for parallelization
• Partition a problem for parallel execution
• Implement parallel algorithms
• Reason about the behavior of parallel systems
• Measure, analyze, and optimize the performance of parallel computing

Know:

• Programming languages and libraries for parallel computing in multicore environments, GPUs, and distributed memory
• Algorithmic strategies for several types of problems
• Optimization techniques across different architectures