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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2015/2016
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 090957 - CODE TRANSFORMATION AND OPTIMIZATION
Docente Agosta Giovanni
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ090957 - CODE TRANSFORMATION AND OPTIMIZATION

Programma dettagliato e risultati di apprendimento attesi

Code Transformation and Optimization 2013 (draft)

In modern computer science and engineering, code transformation techniques are critical to achieve the combined goals of combining programmer productivity and program execution efficiency in terms of time and energy. Yet, it is a skill mastered by few – there are less than 1.5 compiler construction expert for every 1000 software engineers, but almost 2 jobs in compilers for every 100 in software engineering!

The course is designed to provide an overview of code transformation, analysis and optimization techniques needed to effectively produce optimized code.

To compiler and EDA tool engineers, the course provides the basic tools to design and implement compilers and other code transformation and analysis tools, as well as an introduction to the most popular modern compiler framework, LLVM.

To software engineers, the course provides a grounding in system software design and development, as well as insights on the benefits and limitations of automation in software engineering. Moreover, as a compiler is a paramount of complex software systems, it provides a hands-on introduction to the design and implementation process for such systems. Finally, many advanced software engineering techniques such as program slicing are implemented on top of algorithms used in compiler construction.

To computer architects and embedded software engineers, the course provides crucial insights on the power and limits of compiler optimization, as well as to the need any processor architecture has of appropriate compilers.

To all computer science students, the course provides a “behind the scenes” view of the operation of software, and its automated manipulation – understanding compilers means being able to write better, more efficient code.

Learning Goals

  • Understand the internal structure of a real-world compiler

  • Understand the effectiveness and limitations of code analysis and optimization techniques

  • Be able to construct a full compiler for a toy language, generating assembly code for a RISC architecture

Syllabus

Introduction to Compiler Construction

  • Why compiling? Compilers vs interpreters

  • When to compile? JIT, AOT and static compilers

  • What to compile? Compilation units

  • Where to compile? Cross-compilation and split compilation

  • Overview of a compiler framework

    • Lexical analysis & parsing (review)

    • Statement and Data Structure Lowering

    • Optimization: machine independent and machine-dependent

    • Code Generation

Reading: Compiler Construction

Intermediate Representations

  • The Abstract Syntax Tree

  • Basic Blocks and branches

  • The Control Flow Graph

  • The Static Single Assignment Form

Reading: Program Dependence Graph

Reading: The SUIF Compiler Framework

Semantic Analysis & Type Checking

  • Symbol Tables

  • Type Checking

Runtime Organization

  • Data Memory layout

  • Activation Records

  • Dynamic Memory allocation

Reading: Garbage Collection

Code Generation

  • Code generation techniques: CISC and RISC processors

  • Low-level optimization techniques

Reading: Low-level Optimization

Dataflow Optimization

  • Principles and Fixed Point Computation

  • Applications

    • Reaching Definitions

    • Liveness Analysis

    • Constant Propagation

Reading: Dataflow Optimizations

Register Allocation

  • When to allocate registers

  • Graph Coloring

  • Linear scanning

Reading: Linear Scan Register Allocation

Parallelization and other optimization techniques

  • Instruction Scheduling

  • Loop Optimization (Software Pipelining, Loop Unrolling)

  • Limits to optimization: the aliasing problem

Reading: Program Optimization  

Reading: Alias Analysis

Reading: Cache Optimization

Advanced Topics

Advanced Optimization Techniques: Polyhedral Transformations

The LLVM Compiler Framework

 

Readings

The papers presented in this bibliography are mostly for those who wish to get deeper insight on a specific topic.

Compiler Construction

LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation, by C. Lattner and V. Adve.

Intermediate Representations

The Program Dependence Graph and Its Use in Optimization, by J. Ferrante et al.

The Basic SUIF Programming Guide, by G. Aigner et al.

Alias Analyis

Interprocedural pointer alias analysis, by M. Hind et. al.

Register Allocation

Linear Scan Register Allocation, by M. Poletto and V. Sarkar.

Optimization

Compiler Transformations for High-Performance Computing, by D. Bacon et al.

Cache Optimization

A Retrospective: A Data Locality Optimizing Algorithm, by M. S. Lam.

Garbage Collection

Uniprocessor Garbage Collection Techniques: a complete survey of Garbage Collection by P. Wilson.

 


Note Sulla Modalità di valutazione

Evaluation

Evaluation is performed through a combination of oral exam and project work.

The oral exam consists of a discussion of the topics covered in the course.

The project work can be taken in groups of one to three students, and in the following two modes:

  • An independent project activity, consisting in the implementation of an optimization or analysis pass in the LLVM compiler framework (suggested only for students with previous experience in C/C++ programming);

  • A supervised project activity (21-28 hours), consisting in the implementation of a compiler for a toy language targeting the ARM assembly language. The sessions will be organized as follows:

    • Recursive descent language parsing

    • Transforming the Abstract Syntax Tree into a Control Flow Graph

    • Design and implementation of the symbol table

    • Function call translation

    • Liveness analysis

    • Register allocation (linear scan)

    • ARM code generation (table-based)

PhD Students

PhD students can take the course. The project work can be replaced by a presentation on one of the course readings.


Bibliografia
Risorsa bibliografica obbligatoriaAndrew Appel with Jens Palsberg, Modern compiler implementation in Java, Editore: Cambridge University Press, Anno edizione: 2002
Note:

The similar, but earlier, book "Modern compiler implementation in C" by Appel is available online for free download.

Risorsa bibliografica facoltativaAho, Lam, Sethi, and Ullman, Compilers: principles, techniques and tools, Editore: Prentice-Hall, Anno edizione: 2006
Note:

We use only Chapter 11


Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
20.0
esercitazione
12.0
laboratorio informatico
28.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
28/01/2020