Solution of Control Hazards
Duration: 7 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- Discrete Mathematics: Permutation, Combination and Probability / क्रमचय, संचय एवं प्रायिकता, Set Theory, Relations, Functions, Propositional and Predicate Logic, Graph Theory, Group Theory
- Digital Logic: Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
- Computer Organization and Architecture: Basics of COA, Programming the Basic Computer, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Pipelining, Multiprocessors
- Programming: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++
- Data Structures: Introduction to DS, Array, Linked List, Stack, Queue, Tree, Graphs, Hashing
- Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- Theory of Computation: Grammar, Regular Language Properties, Moore & Mealy Machines, Turing Machines
- Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment, Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Pushdown Automata & CFG, Complexity Theory
- Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Security
- Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, ORDBMS, NoSQL
- Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video details solutions for control hazards in computer architecture pipelines. The instructor covers flushing/stalling as the worst-case scenario, followed by compiler techniques like NOPs and code rearrangement. The lecture concludes with hardware prediction methods, specifically comparing single-bit and 2-bit prediction strategies using state diagrams. Visual aids include a structured slide listing methods and a handwritten diagram illustrating the logic behind 2-bit prediction and policy changes.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a slide titled "Solution of control hazards," introducing "Flushing/Stalling." The instructor emphasizes this is the "worst-case scenario," underlining "remove the computed data" and "don't work at all." He explains that when a branch is mispredicted, the pipeline must discard instructions fetched on the wrong path. He draws a sequence of instructions labeled I1 through I6 to visualize this. He illustrates a scenario where instructions I3, I4, I5, and I6 are fetched but discarded if the branch condition is not met. He writes "I110 - I140" and "I16" to represent instruction addresses, demonstrating how the processor handles execution flow when a hazard occurs. The visual focus remains on the slide text and the instructor's annotations, highlighting the performance penalty of this approach.
2:00 – 5:00 02:00-05:00
The lecture shifts to compiler-assisted techniques. The slide lists "NOP (no-operation)," defined as a placeholder where the compiler "don't execute any instruction here," creating a pipeline bubble. Next, the instructor discusses "Code rearrangement or delayed load," explaining that "smart compilers" can reorder instructions to execute those "independent from the current logic" first. He draws a simple state diagram with two states, B=0 and B=1, representing branch outcomes. He illustrates transitions based on conditions C=0 and C=1, showing how a simple prediction mechanism works. He circles the states and draws arrows to indicate the flow, setting the stage for more complex prediction logic. The visual content includes the slide text and the instructor's hand-drawn diagrams, simplifying the abstract concept of compiler optimization.
5:00 – 7:10 05:00-07:10
The final segment features a handwritten slide titled "Estimate Method/ Predictive Method with 2-bit." This diagram illustrates a 4-state machine for branch prediction. The instructor explains "2 Stage Prediction," noting a "2 mistakes then policy change" rule, meaning the prediction only flips after two consecutive errors. He contrasts this with "Single Stage Prediction with 1 bit," where a "1 mistake policy change" occurs, making it more volatile. The diagram shows four states in a loop, with transitions labeled C=0 and C=1. He circles specific states and transitions in red ink to highlight the execution path and conditions for policy changes. The text "2 mistakes then policy change" and "1 mistake policy change" is clearly visible, emphasizing the robustness of the 2-bit counter.
The video systematically builds an understanding of control hazard mitigation, moving from hardware penalties to software optimizations and finally to hardware prediction algorithms. The progression from the destructive nature of flushing to the constructive nature of code rearrangement highlights trade-offs in pipeline design. The detailed comparison of 1-bit and 2-bit prediction methods provides a concrete example of how state machines improve accuracy. The combination of slide text and handwritten diagrams effectively reinforces theoretical concepts with practical visualizations.

