The page is currently under construction

Teacher: Dr. Massimo Coppola

Contact info
e-mail : massimo.coppola@isti.cnr.it
Phone : 050 315 2992
Office location : CNR Reseach Area, ISTI-CNR, Building C, room 33
(due to COVID office-hours restrictions, office phone and location are unlikely useful)

Course info

• This page concerns the SPD course (535AA) for the academic year 2020-2021, which gives you 6 credits.
• Be sure to alway check the NEWS section in this page.
• Information about latest past editions of the SPD course can be found at the following links.

Timetable

• See also the Dept. official timetable.
• In case of exceptions, notice will be given in the News section below in this page and by email to the students.

Question time
TBD

• The first lesson of the Course will be held on February 17. The virtual room information will be posted on thhis page as soon as possible, due to issues with both the MS Teams and Google Meet platforms.

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The course journal is a separate page in this wiki.

The course will provide a description and analysis of a few key parallel and distributed programming platforms and models, starting from their theoretical foundations, where not covered by previous courses, and focusing on (1) existing standards for platforms and programming systems and (2) State-of-the-art solutions. The course will include practical use of those systems to develop simple applications.

The course will cover the following topics.

• Parallel Programming systems/frameworks
  • MPI message-passing programming (the core part of the MPI 2.2 standard)
  • ONEAPI as a unifying meta-approach toward programming several architectural layers, encapsulating other existing programming frameworks
  • TBB Thread Building Blocks Multicore oriented, shared-memory programming framework
  • SYCL Common source CPU/GPU C++ programming framework
  • Massively Multicore computation and GPU programming frameworks: mainly OpenCL but also references to CUDA
  • other topics and parallel/distributed formalisms we may partially address
    • Software defined processors: FPGA-based open source processors, OpenCL to FPGA compilation
    • High-Level SPP languages for Clusters/Clouds, dynamic and autonomic management
    • SPC++
    • BSP-based approaches (e.g. Apache Hama / Giraph, or MulticoreBSP)
• Example Applications
  • K-means, data mining, machine learning algorithms; computational simulation algorithms
• Foundation, Technologies
  • Elementary mechanisms to distribute computation: message passing, shared memory, massive multicore
  • Basics of scheduling algorithms and resource management
  • Basics of Service Oriented Architectures SOA
  • Service oriented Platforms, Cloud Computing and Cloud Federations

TBD

• Standard MPI 3.1, 2015 Only those parts that we will specify during the lessons. Please check the MPI 3.1 errata as there are errors in a couple of code examples.
  On the MPI forum web site you will find alternate formattings and translations of the same material.
• B. Wilkinson, M. Allen – Parallel Programming, 2nd edition. 2005, Prentice-Hall. This book will be also used; at least the 1st edition is available in the University Library of Math/Comp.Sc./Physiscs, under code C.1.2 w74 INF .
• Michael Mc Cool, Arch D. Robinson and James Reinders – Structured Parallel Programming (patterns for Efficient Computation) 2012, Morgan Kaufmann.
  Chapters 1 to 3 cover background topics which should be already known from previous courses (SPA, SPD courses). Stundents need to focus on the TBB material throughout the book: Appendix C and D, and the TBB examples in the book that appendix C references from chapters 4, 5, 8 and 9. Check also Chapter 11 on k-means.
• Alternate book: An introduction to TBB is also found in James Reinders – Intel Threading Building Blocks 2007, O'Reilly Media. More focused on TBB alone, but describes a quite old release of the framework, hence you need to look at online documentation for some of the features.
• M. Voss, R. Asejo, J. Reinders – Pro TBB Book code samples ported to oneAPI Open access book on Springer Pro TBB Open Access
• J. Reinders et al. - Data Parallel C++ Open access book on Springer Data Parallel C++ Open Access

TBD