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. Introduction to High Performance Computing and Scientific Computing (tomado de SC-CAMP)

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.