Computación de alto rendimiento y científica

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Algoritmos y Computación de Alto Rendimiento - Código 29451

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Instructores

Carlos Jaime Barrios Hernández, PhD. ( c b a r r i o s + * @ * + u i s . e d u . c o )

Presentación

XXXX.

Contenido

Unidad I: XXXXX

• Introducción a la Computación Científica
• Introducción al Linux
• Linux y SLURM

Unidad II: XXXXX

• Algoritmos
• Introducción al C/C++
• Introducción al Python
• Debugging y Profiling

Unidad III: XXXXX

• Arquitecturas de Computación de Alto Rendimiento
• Memoria Compartida con OpenMP
• Memoria Distribuída con MPI
• OpenACC y Otras Directivas de Aceleración

Unidad IV: XXXXX

• XXX
• XXXX
• XXXX

Unidad V: XXXXX

• xxxxxx
• xxxxx
• xxxxx
• xxxx

Evaluaciones (2 Semestre de 2021)

• Evaluación 1: 20% xxxx)
• Evaluación 2: 20% (xxxxx)
• Evaluación 3: 20% (xxxxxx)
• Evaluación 4: 20% (xxxxxxx).
• Evaluación 5: 20% (xxxxxxx).

• • En el Itém 4, se medirás las evaluaciones 2 y 3.
  • Deben colocar el proyecto en un blog generado para los proyectos finales. Las condiciones se darán posteriormente.

Presentaciones del Curso

1. .pdf

Bibliografía y Fuentes de Información

• Elements of Parallel Computing, Eric Aubanel (Chapman & Hall/CRC)
• Essentials of Computer Architecture, D. Comer (CRC Press)
• High Performance Embedded Computing: Applications in Cyber-Physical systems and Mobile Computing, M. Wolf (Morgan Kaufmann)
• The Fourth Paradigm: Data-Intensive Scientific Discovery
• Designing and Building Parallel Programs, by Ian Foster
• Patterns for Parallel Programming, by Timothy G. Mattson, Beverly A. Sanders and Berna L. Massingill. Software Patterns Series, Addison Wesley Ed., USA. 2009
• Patterns for Parallel Software Design, Jorge Luis Ortega-Arjona (Wiley)
• Structured Parallel Programming: Patterns for Efficient Computation, M. McCool, A. D. Robison and J. Reinders (Morgan Kaufmann)
• The Art of Concurrency “A thread Monkey’s Guide to Writing Parallel Applications”, by Clay Breshears (Ed. O Reilly, 2009)
• Parallel Scientific Computing in C++ and MPI « A Seamless Approach to Parallel Algorithms and Their Implementation », Karniadakis and Kirby II (Cambridge Press)
• Parallel And Distributed Computation Numerical Methods, D. P. Bertsekas and J. N. Tsitsiklis (Prentice Hall)
• An Introduction to High Performance Scientific Computing, Scientific and Engineering Computation Series, Ll. D. Fosdick, E. R. Jessup, C. J. C. Schauble and G. Dmik (MIT Press)
• The Algorithms Design Manual, S. S. Skiena ( Springer)
• Algorithms Sequential and Parallel « A Unified Approach » Miller and Boxer (Computing Engineering Series)
• Parallel Algorithms, Cassanova, Legrand and Robert (Chapman and Hall/CRC)
• Fundamentals of Multicore Software Development, Ed. Victor Pankratius, Ali-Reza Adl-Tabatabai and Walter Tichy (CRC Press)
• Introduction to HPC with MPI for Data Science, Frank Nielsen (Springer)
• Programming Massively Parallel Processors « A Hands-on Approach » , Kirk and Hwu (Nvidia/Morgan Kaufmann)
• CUDA Application Design and Development, Rob Farber (Nvidia/Morgan Kaufmann)
• Introduction to High Performance Computing for Scientists and Engineers, Hager and Wellein (Chapman and Hall/CRC)
• Sourcebook of Parallel Computing , Dongarra, Foster, Fox, Groop, Kennedy, Torczon and White (Morgan Kaufmann)
• CUDA Programming: A Developer's Guide to Parallel Computing with GPUs, S. Cook (Morgan Kaufmann)
• The CUDA Handbook: A Comprehensive Guide to GPU Programming, N. Wilt (Addison-Wesley)
• CUDA by Example « An Introduction to General-Purpose GPU Programming » Sanders and Kandrot (Nvidia/Addison Wesley)
• CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming, G. Ruetsch and M. Fatica (Morgan Kaufmann/PGI/Nvidia)
• HPC@Green IT: Green High Performance Computing Methods, R. Gruber and V. Keller (Springer)
• OpenACC for Programmers: Concepts and Strategies, S. Chandraserkaran and G. Juckeland (Addison-Wesley)
• OpenACC: Parallel Programming with OpenACC, Edited by Rob Farber (Morgan Kaufmann)
• High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches, J. Reinders and J. Jeffers (Morgan Kaufmann)
• OpenMP
• OpenACC
• NVIDIA
• SC3
• RICAP
• Computing.llnl.gov
• SC-Camp

Horas de Consulta

Las horas de Consulta deben agendarse previamente y solicitar cita previa por email.