Difference between revisions of "Domain Specific Parallel Programming"
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| − | || Reading Ex. 2: Comparing Models of Computation || [https://inst.eecs.berkeley.edu/~ee249/fa07/discussions/TSM.pdf A Lee & Sangiovanni-Vincentelli, Framework for Comparing Models of Computation (1998)], [http://www2.hh.se/staff/tola/scientific_writing/lee_concurrentmodels.pdf Lee & Neuendorffer, Concurrent Models of Computation for Embedded Software (2004)] | + | || Reading Ex. 2: Comparing Models of Computation || [https://inst.eecs.berkeley.edu/~ee249/fa07/discussions/TSM.pdf A Lee & Sangiovanni-Vincentelli, "Framework for Comparing Models of Computation" (1998)], [http://www2.hh.se/staff/tola/scientific_writing/lee_concurrentmodels.pdf Lee & Neuendorffer, "Concurrent Models of Computation for Embedded Software" (2004)] |
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Revision as of 10:19, 13 April 2015
Course Code:
Short description: The course is intended to give general insights into current research and development efforts being undertaken to meet the future needs of energy-efficient embedded systems and high-performance computing. In particular the course aims at providing hands-on experience of applying parallelism of various types that exists in all modern computer architectures by using domain-specific programming techniques.
Course Level: Advanced
Course page: http://ceres.hh.se/mediawiki/Domain_Specific_Parallel_Programming
Contents
Contact
Lecturers
Zain Ul-Abdin, Tomas Nordström
- Office: E 307
- Telephone 035 16 7309
- Email: [1]
Learning Objectives
- Knowledge and understanding
- describe and explain the most important parallel architecture models, as well as parallel programming models, and discuss their respective pros, cons, and application opportunities
- Skills and abilities
- program parallel computer systems intended for embedded applications
- describe, evaluate, and discuss how the choice of programming model and method influences, e.g., execution time and required resources
- read and understand scientific articles in the area, to review and discuss them and to make summaries and presentations
- Judgement and approach
- discuss and relate the merits of various architectures supporting data-level parallelism
- discuss and relate the high-level domain-specific programming techniques with respect to low-level hand-written program development
Primary Contents
The course is divided into three parts:
- Lectures
- The lecture part provides introduction to parallel programming concepts and models and includes tutorials about the state-of-the-art manycore architectures, CAL language, and the Epiphany manycore architecture (Parallella Platform) that are then used in the practical part of the course.
- Reading Exercises
- In this part, course participants make detailed studies of the literature related to models of computation and parallel programming methodologies for high-performance embedded computing and present their findings in the form of seminar.
- Programming Exercises
- The programming part provides hands-on experience of embedded parallel computing using CAL dataflow language and compiling the programs onto an emerging low-power manycore processor as well as using its proprietary low-level programming tools.
Schedule and Study Material
| Schedule | Activity | Material / Literature Reference |
|---|---|---|
| April 13, 10-12 | Lecture 1: Models of Computations & Parallel Programming Patterns | Handouts, Papers |
| April 15, 13-15 | Reading Ex. 1: Landscape of Parallel Computing | Asanovic et al., "The Landscape of Parallel Computing Research: A View from Berkeley" (2006) |
| April 23, 15-17 | Reading Ex. 2: Comparing Models of Computation | A Lee & Sangiovanni-Vincentelli, "Framework for Comparing Models of Computation" (1998), Lee & Neuendorffer, "Concurrent Models of Computation for Embedded Software" (2004) |
| April 28, 13-15 | Lecture 2: Introduction to Dataflow Programming in CAL | CAL Language Report |
| April 30, 10-12 | Reading Ex. 3: Bulk Synchronous Programming Model | A Bridging Model for Parallel Computing (1990), A Bridging Model for Multi-core Computing (2010) |
| May 5, 13-15 | Lecture 3: Manycore Architectures and their Programming | Handouts, Papers |
| May 12, 13-15 | Reading Ex. 4: Invasive Computing | Invasive Computing - An Overview (2010) |
| Programming Ex. 1: CAL Programming | QR Decomposition(Gram Schmeidt, Given Rotation, House-holder Methods) | |
| Programming Ex. 2: Epiphany Programming | QR Decomposition(Gram Schmeidt, Given Rotation, House-holder Methods) | |
| May 26, 13-15 | Course Wrap-up: Final Presentation of Implementation Results |
