DESIGN AND IMPLEMENTATION OF CODE OPTIMIZATION: IMPLEMENTATION OF SCALAR OPTIMIZATION

ABSTRACT
Optimization is the process of transforming a piece of code to make more efficient (either in terms of time or space) without changing its output or side-effects. The only difference visible to the code’s user should be that it runs faster and/or consumes less memory. It is really a misnomer that the name implies you are finding an "optimal" solution— in truth, optimization aims to improve, not perfect, the result. Optimization is the field where most compiler research is done today. The tasks of the front-end (scanning, parsing, semantic analysis) are well understood and unoptimized code generation is relatively straightforward. Optimization, on the other hand, still retains a sizable measure of mysticism. High-quality optimization is more of an art than a science. Compilers for mature languages aren’t judged by how well they parse or analyze the code—you just expect it to do it right with a minimum of hassle—but instead by the quality of the object code they produce.


 TABLE OF CONTENT
TITLE PAGE                                                                        
ABSTRACT                                   
ORGANIZATION OF WORK                           
TABLE OF CONTENT                               

CHAPTER ONE
1.0    INTRODUCTION                               
1.1    STATEMENT OF PROBLEM                       
1.2    AIMS AND OBJECTIVES                
1.3    PURPOSE OF STUDY                       
1.4    SIGNIFICANT OF STUDY                       
1.5    SCOPE/DELIMITATIONS                       
1.6    LIMITATIONS/CONSTRAINTS                   
1.7    ASSUMPTION OF STUDY                   
1.8    DEFINITION OF TERMS                       

CHAPTER TWO
2.0    LITERATURE REVIEW                           

CHAPTER THREE
3.0    DESCRIPTION AND ANALYSIS OF THE EXISTING SYSTEM   
3.1    FACT-FINDING METHOD/ METHODOLOGY           
3.2    ORGANISATIONAL STRUCTURE/ORGANOGRAM       
3.3    OBJECTIVES OF THE EXISTING SYSTEM            
3.4    INPUT, PROCESS, AND OUTPUT ANALYSIS           
    3.4.1    INPUT ANALYSIS                           
    3.4.2    PROCESS ANALYSIS                   
    3.4.3    OUTPUT ANALYSIS                       
3.5    INFORMATION FLOW DIAGRAM                   
3.6    PROBLEMS OF THE EXISTING SYSTEM               
3.7    JUSTIFICATION OF THE NEW SYSTEM                    

CHAPTER FOUR
4.0    DESIGN OF THE NEW SYSTEM                   
4.1    DESIGN STANDARD                       
4.2    OUTPUT SPECIFICATION AND DESIGN               
4.3    INPUT SPECIFICATION AND DESIGN                
4.3.1    FILE DESIGN                           
4.4    PROCEDURE CHART                           
4.5    SYSTEMS FLOWCHART                           
4.6    SYSTEM REQUIREMENTS                       
   4.6.1    HARDWARE REQUIREMENTS                     
   4.6.2    SOFTWARE REQUIREMENTS                 
   4.6.3    OPERATIONAL REQUIREMENTS                
   4.6.4    PERSONNEL REQUIREMENTS               
4.7 IMPLEMENTATION                           
4.8 DESIGN STANDARD
4.2    PROGRAM DESIGN                           
4.2.1    PROGRAM FLOWCHART                   
4.2.2    PSEUDO CODE                           
4.3    CODING                                   
4.4    TEST DATA/TEST RUN                           
4.5    USER TRAINING – AN OVERVIEW                   
4.6    CUTOVER PROCESS                           
4.0    DOCUMENTATION                           
4.1    THE USER DOCUMENTATION                   
4.2    THE PROGRAMMER DOCUMENTATION               

CHAPTER FIVE
RECOMMENDATIONS, SUMMARY AND CONCLUSION       
5.1    RECOMMENDATION                               
5.2    SUMMARY                                   
5.3    CONCLUSION                               
REFERENCES                                                                            
SOURCE LISTING                               
LIST OF FIGURES                                   


Subscribe to access this work and thousands more
Overall Rating

0

5 Star
(0)
4 Star
(0)
3 Star
(0)
2 Star
(0)
1 Star
(0)
APA

Possibility, A. (2018). DESIGN AND IMPLEMENTATION OF CODE OPTIMIZATION: IMPLEMENTATION OF SCALAR OPTIMIZATION. Afribary. Retrieved from https://afribary.com/works/a-project-work-on-design-and-implementation-of-code-optimization-implementation-of-scalar-optimization-6471

MLA 8th

Possibility, Aka "DESIGN AND IMPLEMENTATION OF CODE OPTIMIZATION: IMPLEMENTATION OF SCALAR OPTIMIZATION" Afribary. Afribary, 29 Jan. 2018, https://afribary.com/works/a-project-work-on-design-and-implementation-of-code-optimization-implementation-of-scalar-optimization-6471. Accessed 28 May. 2024.

MLA7

Possibility, Aka . "DESIGN AND IMPLEMENTATION OF CODE OPTIMIZATION: IMPLEMENTATION OF SCALAR OPTIMIZATION". Afribary, Afribary, 29 Jan. 2018. Web. 28 May. 2024. < https://afribary.com/works/a-project-work-on-design-and-implementation-of-code-optimization-implementation-of-scalar-optimization-6471 >.

Chicago

Possibility, Aka . "DESIGN AND IMPLEMENTATION OF CODE OPTIMIZATION: IMPLEMENTATION OF SCALAR OPTIMIZATION" Afribary (2018). Accessed May 28, 2024. https://afribary.com/works/a-project-work-on-design-and-implementation-of-code-optimization-implementation-of-scalar-optimization-6471

Document Details
Field: Computer Science Type: Project 67 PAGES (4621 WORDS) (rtf)