Download presentation

Presentation is loading. Please wait.

Published byKaya Leaverton Modified over 2 years ago

1
Code optimization: –A transformation to a program to make it run faster and/or take up less space –Optimization should be safe, preserve the meaning of a program. –Code optimization is an important component in a compiler –Example: peephole optimization. Peephole: a small moving window in the instruction sequence Technique: examine a short sequence of target instructions (peephole) and try to replace it with a faster or shorter sequence

2
Peephole optimization: Redundant instruction elimination Flow of control optimization Algebraic simplifications Instruction selection Examples: –Redundant loads and stores MOV R0, a MOV a, R0 –Unreachable code If debug = 1 goto L1 Goto L2 L1: print debugging info L2:

3
–Examples: Flow of control optimization: goto L1 … L1: goto L2 goto L2 … L1: goto L2 if a < b goto L1 … L1: goto L2 if a**
{
"@context": "http://schema.org",
"@type": "ImageObject",
"contentUrl": "http://images.slideplayer.com/12/3344253/slides/slide_3.jpg",
"name": "–Examples: Flow of control optimization: goto L1 … L1: goto L2 goto L2 … L1: goto L2 if a < b goto L1 … L1: goto L2 if a
**

4
Algebraic simplification: x : = x+0 x := x*1 == nop Reduction in strength X^2 x * x X * 4 x << 2 Instruction selection Sometimes some hardware instructions can implement certain operation efficiently.

5
Code optimization can either be high level or low level: –High level code optimizations: Loop unrolling, loop fusion, procedure inlining –Low level code optimizations: Instruction selection, register allocation –Some optimization can be done in both levels: Common subexpression elimination, strength reduction, etc. –Flow graph is a common intermediate representation for code optimization.

6
Basic block: a sequence of consecutive statements with exactly 1 entry and 1 exit. Flow graph: a directed graph where the nodes are basic blocks and block B1 block B2 if and only if B2 can be executed immediately after B1: Algorithm to construct flow graph: –Finding leaders of the basic blocks : The first statement is a leader Any statement that is the target of a conditional or unconditional goto is a leader Any statement that immediately follows a goto or conditional goto statement is a leader –For each leader, its basic block consists all statements up to the next leader. –B1 B2 if and only if B2 can be executed immediately after B1.

7
Example: 100: sum = 0 101: j = 0 102: goto 107 103: t1 = j << 2 104: t2 = addr(a) 105: t3 = t2[t1] 106: sum = sum + t3 107: if j < n goto 103

8
Optimizations within a basic block is called local optimization. Optimizations across basic blocks is called global optimization. Some common optimizations: –Instruction selection –Register allocation –Common subexpression elimination –Code motion –Strength reduction –Induction variable elimination –Dead code elimination –Branch chaining –Jump elimination –Instruction scheduling –Procedure inlining –Loop unrolling –Loop fusing –Code hoisting

9
Instruction selection: –Using a more efficient instruction to replace a sequence of instructions (space and speed). –Example: Mov R2, (R3) Add R2, #1, R2 Mov (R3), R2 Add (R3), 1, (R3)

10
Register allocation: allocate variables to registers (speed) Example: M[R13+sum] = 0 M[R13+j] = 0 GOTO L18 L19: R0 = M[R13+j] * 4 M[R13+sum] = M[R13+sum] +M[R0+_a] M[R13+j] = M[R13+j]+1 L18: NZ = M[R13+j] - M[_n] if NZ < 0 goto L19 R2 = 0 R1 = 0 GOTO L18 L19: R0 = R1 * 4 R2 = R2+M[R0+_a] R1 = R1+1 L18: NZ = R1 - M[_n] if NZ < 0 goto L19

11
Code motion: move a loop invariant computation before the loop Example: R2 = 0 R1 = 0 GOTO L18 L19: R0 = R1 * 4 R2 = R2+M[R0+_a] R1 = R1+1 L18: R4 = M[_n] NZ = R1 – R4 if NZ < 0 goto L19 R2 = 0 R1 = 0 R4 = M[_n] GOTO L18 L19: R0 = R1 * 4 R2 = R2+M[R0+_a] R1 = R1+1 L18: NZ = R1 – R4 if NZ < 0 goto L19

12
Strength reduction: replace expensive operation by equivalent cheaper operations Example: R2 = 0 R1 = 0 R4 = M[_n] GOTO L18 L19: R0 = R1 * 4 R2 = R2+M[R0+_a] R1 = R1+1 L18: NZ = R1 – R4 if NZ < 0 goto L19 R2 = 0 R1 = 0 R4 = M[_n] R3 = _a GOTO L18 L19: R2 = R2+M[R3] R3 = R3 + 4 R1 = R1+1 L18: NZ = R1 – R4 if NZ < 0 goto L19

13
Induction variable elimination: can induce value from another variable. Example: R2 = 0 R1 = 0 R4 = M[_n] R3 = _a GOTO L18 L19: R2 = R2+M[R3] R3 = R3 + 4 R1 = R1+1 L18: NZ = R1 – R4 if NZ < 0 goto L19 R2 = 0 R4 = M[_n] << 2 R3 = _a GOTO L18 L19: R2 = R2+M[R3] R3 = R3 + 4 L18: NZ = R3 – R4 if NZ < 0 goto L19

14
Common subexpression elimination:an expression was previously calculated and the variables in the expression have not changed. Can avoid recomputing the expression. Example: R1 = M[R13+I] << 2 R1 = M[R1+_b] R2 = M[R13+I] << 2; R2 = M[R2+_b] R1=M[R13+I] << 2 R1 = M[R1+_b] R2 = R1

Similar presentations

OK

Power Analysis of Embedded Software : A Fast Step Towards Software Power Minimization 指導教授 : 陳少傑 教授 組員 : R91922053 張馨怡 R91922058 林秀萍.

Power Analysis of Embedded Software : A Fast Step Towards Software Power Minimization 指導教授 : 陳少傑 教授 組員 : R91922053 張馨怡 R91922058 林秀萍.

© 2018 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on power system Numeric display ppt on tv Ppt on nitrogen cycle and nitrogen fixation plants Ppt on etiquettes at workplace Ppt on limits and continuity worksheets Ppt on law and social justice class 8 Ppt on networking related topics about global warming Ppt on media and democracy Ppt on basic etiquettes Ppt on law of conservation of mass