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====== Strumenti di programmazione per sistemi paralleli e distribuiti ======

** Teacher: ** Dr. Massimo Coppola

**Contact info**\\
Official CNR-ISTI web page [[https://www.isti.cnr.it/en/about/people-detail/71/Massimo_Coppola|Massimo Coppola at ISTI]]\\
e-mail : massimo.coppola@isti.cnr.it \\
Phone :  050 315 2992 \\
Office location :  CNR Reseach Area, ISTI-CNR, Building C, room 33\\ 

**Course info**\\
  * This page concerns the SPD course (535AA) for the academic year 2022-2023, 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.

^  [[magistraleinformaticanetworking:spd:spd-14-15|SPD 2014-2015]]  ^  [[magistraleinformaticanetworking:spd:spd-15-16|SPD 2015-2016]]  ^ [[magistraleinformaticanetworking:spd:spd-16-17|SPD 2016-2017]] ^ [[magistraleinformaticanetworking:spd:spd-17-18|SPD 2017-2018]]  ^ [[magistraleinformaticanetworking:spd:spd-18-19|SPD 2018-2019]] ^ [[magistraleinformaticanetworking:spd:spd-20-21|SPD 2020-2021]] ^ [[magistraleinformaticanetworking:spd:spd-21-22|SPD 2021-2022]]  |

==== Timetable ====



{{  http://fpga.org/wp-content/uploads/2017/01/1-32-1680-RISC-Vs.jpg?250|1-core, 32-core and 1680-core RISC-V development boards.
See http://fpga.org/2017/01/12/grvi-phalanx-joins-the-kilocore-club/ }}


^ Monday |  **16:00-18:00** | Room FIB X1 |   
^ Friday |  **11:00-13:00** | Room FIB X1 |





  * See also the Dept. [[https://didattica.di.unipi.it/laurea-magistrale-in-informatica-e-networking/orario-magistrale-informatica-e-networking/|official timetable]] and the virtual room links on [[https://esami.unipi.it/|esami.unipi.it]]. 
  * In case of exceptions, notice will be given in the News section below in this page and by email to the students. 

** Question time **\\
As question time will also be held remotely, please contact the teacher to set up either individual or joint telco sessions.

^ Tuesday | 16-17 | MS Teams course channel | Typical Q&A time slot, please \\ email in advance to confirm it | 

=== News and Updates ===
   * 23/02/2023 First lesson will be held today, 16:00-18:00.

==== Course Journal ====

The [[magistraleinformaticanetworking:spd:lezioni22.23|course journal]] is a separate page in this wiki.

--------
==== Aim of the Course ====
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.

==== Overall Program ====

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** may include
    * Data mining (K-means, classification...), machine learning algorithms; computational simulation algorithms
  * Managing HPC experiments with **SLURM**
  * Further technology topics if time allows
    * Scripting HPC applications with **Python**
  * Foundation, Technologies we may cover if needed
    * 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

--------

==== Project Work ====

TBD

--------

==== Teaching material ====
=== Books ===
  * [[http://mpi-forum.org/docs/mpi-3.1/mpi31-report.pdf|Standard MPI 3.1, 2015]] Only those parts that we will specify during the lessons. Please check the [[http://mpi-forum.org/docs/mpi-3.1/errata-31.pdf//example.com|MPI 3.1 errata]] as there are errors in a couple of code examples.\\ On the [[http://www.mpi-forum.org/|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  [[https://link.springer.com/book/10.1007%2F978-1-4842-4398-5|Pro TBB Open Access]] 
  * **J. Reinders et al. - Data Parallel C++ ** Open access book on Springer [[https://link.springer.com/book/10.1007%2F978-1-4842-5574-2|Data Parallel C++ Open Access]]

=== Papers and reading material ===

TBD