Practical high performance computing for the modern age

Calificaciones

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Noticias

Turno:

Mañana (9 a 12 hs): teórica.
Tarde (14 a 17 hs): práctica de laboratorio.
Duración: 30 horas.

Idioma:

Inglés.

Requisitos:

Conocimientos básicos de programación y de arquitecturas de computadoras.

Programa:

As the first decade of the 21st Century draws to a close, the domain of supercomputing is achieving the milestone of reaching 1 Petaflops (a million billion floating point operations per second) performance driven by the exciting requirements of advanced applications in science, medicine, and technology as well as by the continued exponential growth in semiconductor technology reflected by Moore’s Law. But the effective exploitation of these unprecedented technologies is only accomplished through a deep understanding of their structure, operational properties, and semantics. This one-week course, Practical High Performance Computing for the Modern Age, is being presented to provide the attendee with a first detailed understanding of supercomputing systems and their application to real world problems. Based on the highly successful graduate level introductory course, High Performance Computing: Models, Methods, and Means, presented at Louisiana State University and broadcast in high definition to other universities in the US and Europe, this short course will give a comprehensive coverage of the essential elements of supercomputing so that by its conclusion the participant will be prepared to make informed decisions about his/her follow on pursuits within the field. This course is suitable for the non-expert with minimum prerequisites. Knowledge of basic programming language (e.g., C or Fortran) usage and user level exposure to a modern operating system (e.g., Linux, Windows) is all that is required. This course will be of particular value to those professionals seeking information in preparation for computational science, HPC systems research, Linux cluster administration, and hardware/software engineering. The five days of lectures will cover:

1. Monday: Modern HPC Architecture and Systems
2. Tuesday: SMP Parallel Programming with OpenMP
3. Wednesday: MPP/Cluster Distributed Programming with MPI
4. Thursday: Towards the Petaflops Era with Multicore and Accelerators
5. Friday: Advanced Research Directions in HPC towards Exascale Computing

With the availability of an additional Teaching Assistant, hands-on recitations will be provided to give the participant direct experience with the fundamental tools and methods used in high performance computing applications.

Profesor:

• Thomas Sterling, Louisiana State University, USA.
  
  Dr. Thomas Sterling holds a joint appointment as a Principal Scientist at the NASA Jet Propulsion Laboratory and as a Faculty Associate at Caltech's Center for Advanced Computing Research. Since receiving his Ph.D from MIT as a Hertz Fellow in 1984, Dr. Sterling has pursued a career of applied research in parallel computer architecture and high performance computing at Harris Corp, the IDA Supercomputing Research Center, and the NASA Goddard Space Flight Center and University of Maryland, joining Caltech and JPL in 1996. Thomas Sterling is widely recognized for his contributions to commodity cluster computing through the Beowulf Project which he started in 1994 and is the co-author of two books on clusters including "How to Build a Beowulf" and "Beowulf Cluster Computing". Dr. Sterling was the PI of the HTMT Project funded by a number of agencies to conduct the first multidisciplinary multi-institutional in-depth study of future Petaflops scale general purpose computers and is a co-author of a book on "Enabling Technologies for Petaflops Computing." Currently he is the PI of several projects that together are developing the MIND architecture, an advanced PIM computing component sponsored by NASA, Sandia National Laboratory, and DARPA.