Computer Science - Compiler Design

Mod-01 Lec-01 An Overview of a Compiler
Prof. Y.N. Srikanth

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This module provides an introductory overview of compilers, their design, and functionality. It covers the basic architecture of a compiler, including the various stages such as lexical analysis, syntax analysis, semantic analysis, optimization, code generation, and error handling. By understanding these foundational concepts, students will gain a comprehensive insight into how compilers transform source code into machine code. This module sets the stage for more advanced topics and provides a framework for understanding the intricacies of compiler design.
Mod-02 Lec-02 An Overview of a Compilier-Part 2 and Run-Time Environments
Prof. Y.N. Srikanth

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This module delves deeper into the components and functions of a compiler, expanding on the basic overview provided in the previous module. It introduces run-time environments and explores how they interact with compiled code. The module also discusses memory organization, stack management, and symbol tables, providing students with a thorough understanding of the execution environment of programs. By the end of this module, learners will have a solid grasp of how run-time environments support the execution of code.
Mod-02 Lec-03 Run-time Environments-Part 2
Prof. Y.N. Srikanth

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This module continues the discussion on run-time environments, focusing on advanced concepts such as dynamic memory allocation, garbage collection, and heap management. Students will learn about different memory models and their impact on program efficiency and performance. The module also examines the strategies used for managing memory in complex applications. By understanding these concepts, learners will be better equipped to optimize run-time performance in their own compiler implementations.
Mod-03 Lec-04 Run-time Environments-Part 3 and Local Optimizations
Prof. Y.N. Srikanth

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This module explores the intricacies of local optimizations in the context of compiler design. It covers techniques such as common subexpression elimination, loop optimization, and constant propagation. Additionally, the module introduces the final part of run-time environments, highlighting the importance of optimizing code at a local level to enhance performance. Through practical examples and case studies, students will learn how to apply these optimization techniques effectively.
Mod-03 Lec-05 Local Optimizations-Part 2 and Code Generation
Prof. Y.N. Srikanth

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This module discusses advanced local optimization techniques and introduces the initial concepts of code generation. Students will learn about dead code elimination, peep-hole optimization, and instruction scheduling to improve execution efficiency. The module also provides an introduction to code generation, highlighting the transition from intermediate representation to target code, and the role of local optimizations in this process.
Mod-04 Lec-06 Code Generation
Prof. Y.N. Srikanth

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This module focuses on the process of code generation, explaining how intermediate representations are transformed into machine code. It covers topics such as instruction selection, register allocation, and instruction ordering. Students will learn the principles of generating efficient and optimized code, as well as the challenges and solutions in this stage of compilation. The module provides a solid understanding of how compilers translate abstract code structures into executable instructions.
Mod-04 Lec-07 Code Generation-Part 2
Prof. Y.N. Srikanth

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This module continues the exploration of code generation, focusing on optimization strategies for generating efficient machine code. Topics include instruction combining, common subexpression exploitation, and the use of macro instructions. Practical exercises and examples are used to illustrate these concepts, enabling students to apply them effectively in their compiler projects. By the end of this module, learners will have a deeper understanding of the complexities involved in generating optimized code.
Mod-05 Lec-08 Code Generation-Part 3 and Global Register Allocation
Prof. Y.N. Srikanth

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This module delves into the final aspects of code generation and introduces global register allocation. Students will explore advanced techniques for optimizing code, such as instruction pipeline optimization and loop unrolling, to maximize performance. The module also covers global register allocation strategies, which are crucial for managing resources in complex applications. Through detailed examples and problem-solving exercises, learners will gain the skills needed to implement these advanced techniques.
Mod-05 Lec-09 Global Register Allocation-Part 2
Prof. Y.N. Srikanth

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This module continues the exploration of global register allocation, providing deeper insights into strategies such as graph coloring and spilling. Students will learn how to balance resource constraints and optimize register usage to improve execution performance. The module includes case studies and practical examples that demonstrate the application of these techniques in real-world scenarios. By mastering these concepts, learners will be able to address complex optimization challenges in compiler design.
Mod-05 Lec-10 Global Register Allocation-Part 3 and Implementing Object-Oriented Languages
Prof. Y.N. Srikanth

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This module combines the final discussions on global register allocation with an introduction to implementing object-oriented languages. Students will learn about the unique challenges and solutions in compiling object-oriented features, such as inheritance, polymorphism, and dynamic method dispatch. The module also highlights the importance of effective register allocation in supporting these features, ensuring efficient and robust code execution.
Mod-07 Lec-11 Implementing Object-Oriented Languages-Part2 and Introduction to Machine-Indep Opt.,
Prof. Y.N. Srikanth

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This module transitions into implementing object-oriented languages and introduces the basics of machine-independent optimizations. Topics covered include virtual table management, method overriding, and dynamic binding. Students will also explore initial concepts of machine-independent optimizations, such as code motion and redundancy elimination, which enhance performance without relying on specific hardware features. The module provides a foundational understanding of optimizing code across different platforms.
Mod-07 Lec-12 Introduction to Machine-Independent Optimizations-Part 2 Data-flow Analysis
Prof. Y.N. Srikanth

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This module delves further into machine-independent optimizations, focusing on data-flow analysis. Students will learn about various analysis techniques, including reaching definitions, live variable analysis, and available expressions. The module explains how these analyses are used to identify optimization opportunities and improve code efficiency. Through practical exercises and case studies, learners will gain hands-on experience in applying data-flow analysis techniques to real-world scenarios.
Mod-08 Lec-13 Data-flow Analysis-Part 2
Prof. Y.N. Srikanth

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This module continues the exploration of data-flow analysis with an emphasis on more advanced techniques. Students will examine cases like constant propagation, dead code elimination, and loop invariant code motion. The module provides practical insights into how these techniques can be applied to enhance performance and optimize resource utilization in compiled code. By understanding and implementing these concepts, learners will be able to improve the efficiency of their compiler projects.
Mod-09 Lec-14 Data-flow Analysis - Part 3 Control Flow Analysis
Prof. Y.N. Srikanth

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This module introduces control flow analysis, a key component of machine-independent optimizations. Students will learn about control flow graphs, dominator trees, and basic block identification. The module explains how control flow analysis is used to optimize execution paths and improve code efficiency. Through a combination of theoretical explanations and practical exercises, learners will develop the skills needed to implement control flow analysis in their compiler projects.
Mod-09 Lec-15 Control Flow Analysis-Part2
Prof. Y.N. Srikanth

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This module continues the discussion on control flow analysis, delving into topics such as loop detection and path analysis. Students will learn how to identify and optimize critical paths in the control flow of programs. The module also covers techniques for reducing control dependencies, which are crucial for enhancing parallel execution and improving performance. By mastering these concepts, learners will be able to effectively optimize complex code structures.
Mod-10 Lec-16 Machine-Independent Optimizations
Prof. Y.N. Srikanth

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This module provides a comprehensive look at machine-independent optimizations, synthesizing the concepts covered in previous modules. Students will explore optimization techniques that are applicable across different hardware architectures, such as loop unrolling, strength reduction, and inline expansion. The module emphasizes the importance of abstracting optimization strategies from specific hardware details, ensuring that code remains efficient and portable across platforms.
Mod-10 Lec-17 Machine-Independent Optimizations-Part 2
Prof. Y.N. Srikanth

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This module continues the exploration of machine-independent optimizations, focusing on advanced topics such as loop fusion, loop interchange, and software pipelining. Students will learn how these techniques improve performance by optimizing data locality and pipeline utilization. The module provides practical examples and exercises that demonstrate the application of these advanced optimization strategies, equipping learners with the skills needed to implement them in their own projects.
Mod-11 Lec-18 Machine-Independent Optimizations-Part 3 and Data-flow Analysis:Theoretical Foundation
Prof. Y.N. Srikanth

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This module introduces the theoretical foundation of data-flow analysis, providing a deep understanding of the principles and mathematical models that underpin these techniques. Students will explore data-flow equations, lattices, and fixed-point computations. The module offers insights into how these theoretical concepts are applied to optimize code and improve compiler performance. By understanding the foundational theories, learners will be equipped to innovate and develop new optimization strategies.
Mod-11 Lec-19 Data-flow Analysis:Theoretical Foundation-Part 2 and Partial Redundancy Elimination
Prof. Y.N. Srikanth

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This module continues the discussion on data-flow analysis with a focus on its theoretical foundation, introducing concepts such as partial redundancy elimination. Students will learn how to identify and eliminate redundant computations, improving the efficiency of compiled code. The module includes case studies and practical exercises, demonstrating the application of these concepts in real-world scenarios. By mastering these techniques, learners will enhance their ability to optimize complex software systems.
Mod-12 Lec-20 Partial Redundancy Elimination
Prof. Y.N. Srikanth

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This module provides an in-depth exploration of partial redundancy elimination techniques, explaining their role in enhancing code efficiency and performance. Students will learn about the trade-offs involved in applying these techniques and the impact on resource utilization. The module also covers advanced strategies for identifying partially redundant expressions, supported by practical examples and problem-solving exercises to reinforce learning. By the end of this module, learners will have a comprehensive understanding of how to apply partial redundancy elimination effectively.
Mod-13 Lec-21 The Static Single Assignment Form:Construction and Application to Program
Prof. Y.N. Srikanth

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This module introduces the concept of Static Single Assignment (SSA) form, a crucial representation in compiler design. SSA simplifies optimization by ensuring every variable is assigned exactly once, making data flow analysis more efficient. You will learn about the construction process of SSA form, its significance in various compiler optimizations, and its impact on enhancing program performance.

The module covers fundamental techniques for transforming code into SSA form, ensuring that the methodologies are applicable to various programming languages. It also explores the challenges faced during this transformation and offers solutions to overcome them.
Mod-13 Lec-22 The Static Single Assignment Form: Construction and Application to Program
Prof. Y.N. Srikanth

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This module continues the exploration of the Static Single Assignment (SSA) form, delving deeper into its construction and application to complex program structures. You will gain insight into advanced techniques for optimizing code using SSA and understand how SSA facilitates more sophisticated compiler analyses.

Topics include refining SSA form for various programming paradigms and leveraging its properties to implement optimizations that improve code execution speed and memory efficiency. The module also discusses potential pitfalls and how to address them effectively.
Mod-13 Lec-23 The StaticSingle Assignment Form:Construction and Applicationto Program Optimizations
Prof. Y.N. Srikanth

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In this module, you will explore the application of the Static Single Assignment (SSA) form to program optimizations. The focus is on practical implementations that utilize SSA to enhance compiler efficiency and performance.

The module covers a range of optimization techniques, such as constant propagation, dead code elimination, and loop transformations, all facilitated by SSA. Through examples and case studies, you'll see how SSA contributes to more streamlined and effective code generation processes.
Mod-14 Lec-24 Automatic Parallelization
Prof. Y.N. Srikanth

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This module introduces automatic parallelization, a technique that transforms sequential code into parallel code to leverage multi-core processors. It covers the principles of detecting parallelizable sections of code and converting them into concurrent tasks.

Key topics include dependency analysis, loop transformation, and task scheduling. By understanding automatic parallelization, you can improve program performance on modern architectures, making applications faster and more responsive.
Mod-14 Lec-25 Automatic Parallelization-Part 2
Prof. Y.N. Srikanth

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This module is a continuation of automatic parallelization, focusing on advanced techniques and tools for further optimizing parallel code. You'll learn about parallel programming models and explore various libraries and frameworks that facilitate parallelization in existing codebases.

The module also examines the challenges of debugging and testing parallel code, providing strategies to ensure correctness and efficiency. Real-world examples illustrate the impact of these techniques on application performance.
Mod-14 Lec-26 Automatic Parallelization-Part 3
Prof. Y.N. Srikanth

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This module delves into further complexities of automatic parallelization, exploring how to maximize efficiency in parallel code execution. You will study techniques for identifying bottlenecks and applying load balancing to optimize resource usage.

Topics include synchronization mechanisms, data partitioning strategies, and dynamic scheduling algorithms. By mastering these concepts, you'll be equipped to create highly efficient parallel applications that fully utilize available hardware.
Mod-14 Lec-27 Automatic Parallelization-Part 4
Prof. Y.N. Srikanth

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This module concludes the series on automatic parallelization, emphasizing the integration of parallelization techniques in large-scale software projects. You'll explore methods for maintaining code scalability and flexibility while ensuring performance gains.

Key discussions include the impact of parallelism on software architecture, strategies for parallel refactoring, and evaluation metrics for assessing the success of parallelization efforts. This module prepares you to handle complex parallelization challenges in professional software development environments.
Mod-15 Lec-28 Instruction Scheduling
Prof. Y.N. Srikanth

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This module introduces instruction scheduling, a compiler optimization technique that reorders machine instructions to improve pipeline utilization and execution speed. You'll learn about the constraints and dependencies that affect scheduling decisions.

The module covers various scheduling algorithms and strategies for minimizing latency and maximizing throughput in different hardware architectures. Examples and exercises help you understand how to apply these techniques to real-world scenarios.
Mod-15 Lec-29 Instruction Scheduling-Part 2
Prof. Y.N. Srikanth

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This module builds on the concepts of instruction scheduling, focusing on advanced algorithms and techniques for optimizing instruction sequences. You'll explore approaches to handle complex dependencies and resource constraints in modern processors.

Advanced topics include software pipelining, loop unrolling, and out-of-order execution. Through practical examples, you'll learn to enhance instruction-level parallelism and achieve significant performance improvements in diverse computing environments.
Mod-15 Lec-30 Instruction Scheduling-Part 3
Prof. Y.N. Srikanth

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This module explores the final aspects of instruction scheduling, emphasizing the integration of scheduling techniques in compiler design. You will study the relationship between scheduling and other optimization phases, ensuring cohesive enhancements to code generation.

Topics include phase ordering, scheduling heuristics, and the impact of scheduling on power consumption and performance. By understanding these interactions, you'll be able to develop more efficient and effective compilers.
Mod-16 Lec-31 Software Pipelining
Prof. Y.N. Srikanth

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This module introduces software pipelining, a technique for optimizing loops in programs to maximize instruction throughput. You will learn how to transform loops to execute iterations concurrently, improving program efficiency.

Key topics include loop unrolling, dependency analysis, and scheduling algorithms specific to software pipelining. Through case studies, you'll see how software pipelining can dramatically enhance the performance of computationally intensive applications.
Mod-17 Lec-32 Energy-Aware Software Systems
Prof. Y.N. Srikanth

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This module explores energy-aware software systems, focusing on techniques to reduce power consumption without sacrificing performance. You'll learn about energy-efficient algorithms and architectures that contribute to greener computing.

Topics include dynamic voltage and frequency scaling, power gating, and energy profiling tools. By mastering these concepts, you can design software that minimizes energy usage, benefiting both the environment and operational costs.
Mod-17 Lec-33 Energy-Aware Software Systems-Part 2
Prof. Y.N. Srikanth

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Continuing with energy-aware software systems, this module delves deeper into advanced techniques for optimizing energy consumption. You'll explore strategies for balancing performance and power usage in various computing environments.

The module covers topics such as energy-efficient data structures, adaptive algorithms, and multi-core energy management. Through practical exercises, you'll learn to apply these strategies to real-world software projects, achieving a sustainable balance between power and performance.
Mod-17 Lec-34 Energy-Aware Software System-Part 3
Prof. Y.N. Srikanth

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This module continues the exploration of energy-aware software systems, focusing on the integration of energy-saving techniques into software development processes. You'll learn about tools and methodologies for monitoring and optimizing energy consumption throughout the software lifecycle.

Discussions include energy-efficient coding practices, instrumentation techniques, and the role of compilers in energy optimization. By understanding these processes, you'll be able to create software that aligns with modern energy efficiency standards.
Mod-17 Lec-35 Energy-Aware Software System-Part 4
Prof. Y.N. Srikanth

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This module concludes the series on energy-aware software systems, providing insights into the future of energy-efficient computing. You'll explore emerging trends and technologies that promise to revolutionize power management in software systems.

Key topics include the Internet of Things (IoT), smart grids, and renewable energy integration. By understanding these trends, you can anticipate future challenges and opportunities in designing sustainable software solutions.
Mod-18 Lec-36 Just-In-Time Compilation and Optimizations for .NET CLR
Prof. Y.N. Srikanth

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This module introduces Just-In-Time (JIT) compilation and its role in optimizing .NET CLR applications. You'll learn how JIT compilers translate intermediate language (IL) code into native machine code at runtime, enhancing performance by adapting to specific execution contexts.

Topics include JIT compilation techniques, runtime optimizations, and the impact on application startup times. Practical examples demonstrate how JIT compilation improves the efficiency of .NET applications, enabling developers to leverage its benefits effectively.
Mod-19 Lec-37 Garbage Collection
Prof. Y.N. Srikanth

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This module covers garbage collection, a memory management technique crucial for automatic storage reclamation in programming languages. You will learn how garbage collectors identify and reclaim memory no longer in use, preventing memory leaks and optimizing resource utilization.

The module examines various garbage collection algorithms, including mark-and-sweep, generational, and reference counting. Through examples and exercises, you'll understand how to configure and optimize garbage collectors for different application scenarios.
Mod-20 Lec-38 Interprocedural Data-Flow analysis
Prof. Y.N. Srikanth

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This module explores interprocedural data-flow analysis, a technique for analyzing the behavior of programs across multiple procedures or functions. You'll learn how to gather and interpret data-flow information that spans procedure boundaries, enabling more accurate optimization and error detection.

Key topics include call graph construction, context-sensitive analysis, and data-flow frameworks. By mastering these concepts, you can enhance the precision and effectiveness of compiler optimizations, ensuring robust and efficient software solutions.
Mod-21 Lec-39 Worst Case Execution Time
Prof. Y.N. Srikanth

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This module focuses on Worst Case Execution Time (WCET) analysis, a technique for predicting the maximum time required for a code segment to execute. You'll learn how WCET analysis ensures real-time systems meet their timing constraints, critical for safety and reliability.

The module covers various WCET analysis methods, including static analysis, measurement-based techniques, and hybrid approaches. Through case studies, you'll understand how to apply WCET analysis in different application domains, such as automotive and aerospace.
Mod-21 Lec-40 Worst Case Execution Time - Part 2
Prof. Y.N. Srikanth

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This module continues the exploration of Worst Case Execution Time (WCET) analysis, delving into advanced topics and techniques for precise timing analysis. You'll explore approaches to handle complex hardware architectures and software interactions.

Discussions include cache behavior analysis, pipeline modeling, and the impact of multicore processors on WCET estimation. By mastering these advanced techniques, you can ensure that real-time systems adhere to their stringent timing requirements, even in challenging environments.

Course

Computer Science - Compiler Design

Course Lectures