High-Performance Embedded Computing

Code:

PRODEI039

Acronym:

CEED

Keywords
Classification	Keyword
OFICIAL	Comp. Architectures, Operating and Networks Sys.

Instance: 2012/2013 - 2S

Active?	Yes
Web Page:	https://moodle.fe.up.pt/1213/course/view.php?id=510
E-learning page:	https://moodle.fe.up.pt/
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Doctoral Program in Informatics Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PRODEI	3	Syllabus	1	-	6	54	162

Teaching language

Suitable for English-speaking students

Objectives

At the end of the semester, students should:
• Be able to identify important contributions to high-performance embedded computing;
• Be able to identify the main problems and challenges on mapping and optimizing applications;
• Understand code transformations, compiler optimizations, and their benefits;
• Understand available tools to help tuning and mapping an application to an embedded computing system, possibly consisting of multiple heterogeneous/homogeneous cores;
• Be able to tune an application according to specific requirements such as performance and energy consumption;

Working method

Presencial

Program

1. Introduction to Embedded Systems and Embedded Computing
2. Advanced Computing Systems and Reconfigurable Computing
3. Performance Analysis and Identification of Hot-Spots
4. Amdhal’s Law: main lessons and extensions to multi-core computing
5. Mapping Applications to Multi-Core Embedded Systems
6. Compiler Optimizations and Code Transformations
7. Tools for Simulating, Debugging, Profiling, and Optimizing
8. Main Trends and Challenges

Mandatory literature

• Joseph A. Fisher, Paolo Faraboschi, Cliff Young; Embedded computing - a VLIW approach to architecture, Morgan Kaufmann , 2005
João M. P. Cardoso, and Pedro C. Diniz; Compilation Techniques for Reconfigurable Architectures, Springer, 2008
S. Hauck, A. DeHon (editors); Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation, Morgan Kaufmann/Elsevier, 2008
various authors; • Selected papers from prestigious international journals and conferences

Complementary Bibliography

Wayne Wolf ; High-Performance Embedded Computing: Architectures, Applications, and Methodologies, Morgan Kaufman, 2006
João M. P. Cardoso, and Michael Huebner; Reconfigurable Computing: From FPGAs to Hardware/Software Codesign, Springer, 2011

Teaching methods and learning activities

Classes consist of lectures, tutorials, and presentation and analysis of selected publications. The contents are formally exposed along with presentation and discussion of examples from real-life applications.

In tutorial classes application exercises are proposed. Students will have to work on a project where they will apply most of the concepts presented during the course.

keywords

Technological sciences > Engineering > Computer engineering
Technological sciences > Technology > Computer technology > Software technology

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	39,00
Other readings to prepare classes	Exame	12,00
Project	Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	80,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Analysis of scientific papers (individual)	Estudo autónomo	18
Other readings related to the project	Estudo autónomo	16
	Total:	34,00

Eligibility for exams

NA

Calculation formula of final grade

AD: distributed evaluation consists of three components, PART, PAD, and PROJ = 0.10 PART + 0.30 PAD + 0.60 PROJ

PART: participation.

PAD: presentation, analysis and discussion of selected publications.

PROJ: project and technical report.

Grade = rounded(0.10 PART + 0.30 PAD + 0.60 PROJ).

Examinations or Special Assignments

None.

Special assessment (TE, DA, ...)

NA

Classification improvement

The grade can be improved in the next occurrence of the UC.

Observations

The pre-requirements are: compilers, computer architecture, programming languages.