Code Shape III Booleans, Relationals, & Control flow

Slides:



Advertisements
Similar presentations
Chapter 4: Control Structures I (Selection)
Advertisements

Chapter 13 Control Structures. Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display Control Structures Conditional.
Operator Strength Reduction From Cooper, Simpson, & Vick, “Operator Strength Reduction”, ACM TOPLAS, 23(5), See also § of EaC2e. 1COMP 512,
Intermediate Code Generation
Comp Sci Control structures 1 Ch. 5 Control Structures.
SSA-Based Constant Propagation, SCP, SCCP, & the Issue of Combining Optimizations 1COMP 512, Rice University Copyright 2011, Keith D. Cooper & Linda Torczon,
Introduction to Code Optimization Comp 412 Copyright 2010, Keith D. Cooper & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at Rice.
Intermediate Representations Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at Rice University.
Code Shape III Booleans, Relationals, & Control flow Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled.
The Procedure Abstraction Part I: Basics Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412.
Chapter 8 . Sequence Control
Fundamentals of Python: From First Programs Through Data Structures
The Procedure Abstraction Part I: Basics Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412.
Lexical Analysis - An Introduction Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at.
Lexical Analysis - An Introduction Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at.
The Procedure Abstraction, Part V: Support for OOLs Comp 412 Copyright 2010, Keith D. Cooper & Linda Torczon, all rights reserved. Students enrolled in.
Operator Strength Reduction C OMP 512 Rice University Houston, Texas Fall 2003 Copyright 2003, Keith D. Cooper & Linda Torczon, all rights reserved. Students.
Programming 1 DCT 1033 Control Structures I (Selection) if selection statement If..else double selection statement Switch multiple selection statement.
Cleaning up the CFG Eliminating useless nodes & edges C OMP 512 Rice University Houston, Texas Fall 2003 Copyright 2003, Keith D. Cooper & Linda Torczon,
Introduction to Code Generation Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at Rice.
Top-down Parsing Recursive Descent & LL(1) Comp 412 Copyright 2010, Keith D. Cooper & Linda Torczon, all rights reserved. Students enrolled in Comp 412.
Boolean & Relational Values Control-flow Constructs Comp 412 Copyright 2010, Keith D. Cooper & Linda Torczon, all rights reserved. Students enrolled in.
 Control Flow statements ◦ Selection statements ◦ Iteration statements ◦ Jump statements.
Cleaning up the CFG Eliminating useless nodes & edges This lecture describes the algorithm Clean, presented in Chapter 10 of EaC2e. The algorithm is due.
C++ Programming: From Problem Analysis to Program Design, Fifth Edition Chapter 2: Control Structures (Selection & Repetition)
Conditional Statements A conditional statement lets us choose which statement will be executed next Conditional statements give us the power to make basic.
Definition-Use Chains
Introduction to Optimization
Chapter 6: Loops.
Def: A control structure is a control statement and
Parsing — Part II (Top-down parsing, left-recursion removal)
Branching Constructs Review
Topics The if Statement The if-else Statement Comparing Strings
Expressions and Control Flow in JavaScript
Control Structures.
Conditinoal Constructs Review
Topics The if Statement The if-else Statement Comparing Strings
Lexical Analysis - An Introduction
Introduction to Optimization
Lexical Analysis — Part II: Constructing a Scanner from Regular Expressions Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved.
Control Flow Analysis CS 4501 Baishakhi Ray.
Intermediate Representations
Introduction to Code Generation
Wrapping Up Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at Rice University have explicit.
Instruction Scheduling: Beyond Basic Blocks
Building SSA Form COMP 512 Rice University Houston, Texas Fall 2003
The Procedure Abstraction Part I: Basics
Conditinoal Constructs Review
Lexical Analysis — Part II: Constructing a Scanner from Regular Expressions Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved.
Intermediate Representations
While Loops and If-Else Structures
CSC215 Lecture Flow Control.
Iteration Implemented through loop constructs (e.g., in C++)
CSC215 Lecture Control Flow.
The Last Lecture COMP 512 Rice University Houston, Texas Fall 2003
Introduction to Parsing
Code Shape IV Procedure Calls & Dispatch
Lexical Analysis — Part II: Constructing a Scanner from Regular Expressions Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved.
Introduction to Parsing
Selection Statements.
Parsing — Part II (Top-down parsing, left-recursion removal)
While Loops and If-Else Structures
While Loops and If-Else Structures
Introduction to Optimization
Instruction Scheduling: Beyond Basic Blocks
Lexical Analysis - An Introduction
Copyright 2003, Keith D. Cooper & Linda Torczon, all rights reserved.
Lecture 4: Instruction Set Design/Pipelining
CSC215 Lecture Control Flow.
Procedure Linkages Standard procedure linkage Procedure has
Presentation transcript:

Code Shape III Booleans, Relationals, & Control flow Copyright 2003, Keith D. Cooper, Ken Kennedy & Linda Torczon, all rights reserved. Students enrolled in Comp 412 at Rice University have explicit permission to make copies of these materials for their personal use.

Boolean & Relational Values How should the compiler represent them? Answer depends on the target machine Two classic approaches Numerical representation Positional (implicit) representation Correct choice depends on both context and ISA

Boolean & Relational Values Numerical representation Assign values to TRUE and FALSE Use hardware AND, OR, and NOT operations Use comparison to get a boolean from a relational expression Examples

Boolean & Relational Values What if the ISA uses a condition code? Must use a conditional branch to interpret result of compare Necessitates branches in the evaluation Example: This “positional representation” is much more complex

Boolean & Relational Values What if the ISA uses a condition code? Must use a conditional branch to interpret result of compare Necessitates branches in the evaluation Example: This “positional representation” is much more complex Condition codes are an architect’s hack allow ISA to avoid some comparisons complicates code for simple cases

Boolean & Relational Values The last example actually encodes result in the PC If result is used to control an operation, this may be enough Condition code version does not directly produce (x < y) Boolean version does Still, there is no significant difference in the code produced if (x < y) then a  c + d else a  e + f Example

Boolean & Relational Values Conditional move & predication both simplify this code Both versions avoid the branches Both are shorter than CCs or Boolean-valued compare Are they better? if (x < y) then a  c + d else a  e + f Example

Boolean & Relational Values Consider the assignment x  a  b  c  d Here, the boolean compare produces much better code

Boolean & Relational Values Conditional move & predication help here, too Conditional move is worse than Boolean compares Predication is identical to Boolean compares Context & hardware determine the appropriate choice x  a  b  c  d

Control Flow If-then-else Follow model for evaluating relationals & booleans with branches Branching versus predication (e.g., IA-64) Frequency of execution Uneven distribution  do what it takes to speed common case Amount of code in each case Unequal amounts means predication may waste issue slots Control flow inside the construct Any branching activity within the case base complicates the predicates and makes branches attractive

Control Flow Loops Evaluate condition before loop (if needed) Evaluate condition after loop Branch back to the top (if needed) Merges test with last block of loop body while, for, do, & until all fit this basic model Pre-test Loop body Post-test Next block

Loop Implementation Code for (i = 1; i< 100; i++) { body } next statement loadI 1  r1 loadI 1  r2 loadI 100 r3 cmp_GE r1, r3 r4 cbr r4 L2, L1 L1: body add r1, r2 r1 cmp_LT r1, r3 r5 cbr r5 L1, L2 L2: next statement Initialization Pre-test Post-test

Break statements Many modern programming languages include a break Exits from the innermost control-flow statement Out of the innermost loop Out of a case statement Translates into a jump Targets statement outside control- flow construct Creates multiple-exit construct Skip in loop goes to next iteration Only make sense if loop has > 1 block Pre-test Loop head Post-test Next block B 1 B 2 Break in B 1 Skip in B 2

Control Flow Case Statements Evaluate the controlling expression Branch to the selected case Execute the code for that case Branch to the statement after the case Parts 1, 3, & 4 are well understood, part 2 is the key

Surprisingly many compilers do this for all cases! Control Flow Case Statements Evaluate the controlling expression Branch to the selected case Execute the code for that case Branch to the statement after the case (use break) Parts 1, 3, & 4 are well understood, part 2 is the key Strategies Linear search (nested if-then-else constructs) Build a table of case expressions & binary search it Directly compute an address (requires dense case set) Surprisingly many compilers do this for all cases!