Unit IV: Instruction Set Architecture PDF

Summary

This document provides an overview of Instruction Set Architecture, covering topics like microcode, machine models, and pipeline concepts. It also discusses the complexities and design, highlighting the differences between RISC and CISC architectures.

Full Transcript

# Unit IV: Instruction Set Architecture **12/9/24, 7:39 PM** **Homeb.tech** Unit IV: Instruction Set Architecture | CSE211: COMPUTER ORGANIZATION AND DESIGN | B.Tech CSE | classpdfindia.com ## Unit IV: Instruction Set Architecture | CSE211: COMPUTER ORGANIZATION AND DESIGN | B.Tech CSE **by One...

# Unit IV: Instruction Set Architecture **12/9/24, 7:39 PM** **Homeb.tech** Unit IV: Instruction Set Architecture | CSE211: COMPUTER ORGANIZATION AND DESIGN | B.Tech CSE | classpdfindia.com ## Unit IV: Instruction Set Architecture | CSE211: COMPUTER ORGANIZATION AND DESIGN | B.Tech CSE **by One - October 18, 2024. 12 min read** ## Contents - Introduction to Instruction Set Architecture and Microcode: Architecture & Microcode, Machine Models, ISA characteristics, Pipeline - Architecture & Microcode - Instruction Set Architecture (ISA) - Defines the set of instructions a computer can execute. - Acts as the interface between hardware (processor) and software (programs). - Determines fundamental aspects like the instruction formats, addressing modes, registers, and data types. - Microcode - A lower-level set of instructions or signals used by complex instruction set computing (CISC) CPUs to implement higher-level instructions. - Translates complex machine instructions into simpler, sequenced microinstructions. - Microcode is stored in special, faster storage within the CPU (like ROM or RAM). - Machine Models - Von Neumann Model - A traditional architecture where instructions and data share the same memory and data bus. - Known for the Von Neumann Bottleneck, as the single data path for instructions and data can cause delays. - Characteristics include simplicity and ease of use for general-purpose computing. - Harvard Model - A design with separate memory and buses for instructions and data. - Allows simultaneous access to instructions and data, increasing performance and reducing potential bottlenecks. - Often used in digital signal processing and microcontrollers. - Modified Harvard Model - Combines features of both Von Neumann and Harvard models, sometimes allowing transfer between instruction and data memories. - Adds flexibility and is common in modern CPUs. - ISA Characteristics - Complexity and Design (RISC vs. CISC) - RISC (Reduced Instruction Set Computer): Simple, minimal instructions, focusing on a small set of efficient operations. - CISC (Complex Instruction Set Computer): Larger set of complex instructions, often with microcoded implementation for complex instructions. - Instruction Types and Formats - Instruction Types: Includes arithmetic, logical, control, and data movement instructions. - Formats: Varying instruction sizes (fixed or variable) and formats based on operation types. - Registers - Defines the types and numbers of registers (like general-purpose and floating-point). - Registers are typically limited in number, which affects the efficiency of the ISA. - Memory Addressing Modes - Different methods to access memory, such as immediate, direct, indirect, indexed, and base-plus-offset. - Determines the flexibility and ease with which programs can access data. - Data Types - Defines supported data types (integers, floating-point numbers, characters, etc.). - Affects the range of applications the ISA can handle and the precision of operations. - Pipeline - Basic Concept - A method of instruction execution that divides operations into multiple stages (e.g., fetch, decode, execute, memory access, and write-back). - Each instruction is processed in different stages simultaneously, allowing overlap and improving throughput. - Pipeline Stages - Fetch: Retrieves the instruction from memory. - Decode: Decodes the instruction and prepares required control signals. - Execute: Performs the operation (e.g., arithmetic or logic operation). - Memory Access: Reads or writes data from/to memory if needed. - Write-back: Stores the result in a register for later use. - Pipeline Hazards - Data Hazards: Occur when instructions depend on the results of previous ones that are still in the pipeline. - Control Hazards: Happen when the pipeline encounters branch instructions, potentially causing it to fetch the wrong instruction. - Structural Hazards: Arise when hardware resources are insufficient to execute instructions in parallel. - Advantages of Pipelining - Increased Throughput: More instructions are completed in a shorter time frame. - Efficient Utilization of CPU Resources: Reduces idle time by overlapping instruction execution stages. - Improved Performance: Enables higher instruction-per-cycle (IPC) execution, which improves overall CPU efficiency. - Review: Microcoded Microarchitecture, Pipeline Basics, Structural and Data Hazards - Microcoded Microarchitecture - Microarchitecture Overview - Refers to the internal architecture of the CPU, implementing the instructions defined by the ISA. - Consists of functional blocks like the ALU (Arithmetic Logic Unit), control unit, registers, and cache. - Role of Microcode - Microcode is a layer of low-level instructions that translates complex machine instructions into sequences of simpler micro-operations. - Microinstructions control each CPU function in sequence, enabling execution of complex instructions in CPUs, especially in CISC (Complex Instruction Set Computing) architectures. - Microprogram Control Unit - The part of the CPU that stores and manages microinstructions. - Microcode is typically stored in a small, high-speed memory (e.g., control store) within the CPU. - When an instruction is decoded, the control unit uses microcode to generate signals for various CPU components, guiding them through the steps required for that instruction. - Advantages - Allows easier implementation of complex instructions by breaking them into manageable steps. - Makes updating and extending instructions easier without changing the hardware, as changes can be made in microcode. - Disadvantages - Adds latency due to the additional layer between machine instructions and execution. - Increases complexity and may slow down execution speed, especially compared to RISC architectures that rely on fewer, simpler instructions. - Pipeline Basics - Concept of Pipelining - Pipelining divides the CPU's instruction cycle into multiple stages, enabling multiple instructions to be processed simultaneously. - Common pipeline stages include Fetch (IF), Decode (ID), Execute (EX), Memory Access (MEM), and Write-back (WB). - Stages of a Pipeline - Instruction Fetch (IF): Retrieves the next instruction from memory. - Instruction Decode (ID): Decodes the instruction to identify the operation and operands. - Execute (EX): Performs the operation, like an arithmetic or logic function - Memory Access (MEM): Accesses memory for read/write operations, if needed. - Write-back (WB): Writes results back to registers or memory. - Pipeline Depth - Refers to the number of stages in the pipeline. - More stages (deeper pipeline) can improve instruction throughput but may introduce more latency, especially if hazards occur. - Benefits of Pipelining - Higher Throughput: Enables more instructions to be completed in less time. - Efficient Resource Usage: Minimizes idle by utilizing each pipeline stage simultaneously. - Reduced Latency per Instruction: Each instruction is broken down into smaller, more manageable operations, allowing faster instruction cycles. - Challenges with Pipelining - Requires careful management to avoid stalling or inefficient use of resources. - Susceptible to hazards, which can stall the pipeline and reduce efficiency. - Pipeline Hazards - Structural Hazards - Definition: Occur when multiple instructions require the same hardware resources at the same time. - Examples - When two instructions simultaneously need to access the same memory or the same arithmetic unit (ALU). - A common problem in processors with limited resources or no duplicated functional units. - Solution: Resource duplication (e.g., multiple ALUs) or effective resource scheduling to reduce conflicts. - Data hazards - Definition: Arise when an instruction depends on the results of a previous instruction that has not yet completed its execution in the pipeline. - Types of Data Hazards - Read After Write (RAW): The current instruction depends on the result of a previous instruction still in the pipeline (most common). - Write After Read (WAR): Occurs if an instruction writes to a register or memory location before a previous instruction has read from it. - Write Aftera Write (WAW): Happens if two instructions write to the same register or memory location in the wrong order. - Solutions - Data Forwarding/Bypassing: Redirects the result of a previous instruction directly to the next one without waiting for it to complete. - Stalling: Pauses the pipeline until the required data becomes available. - Pipeline Interlocks: Control logic that automatically inserts stalls to prevent data hazards. - Cache Review: Control Hazards - Jump, Branch, Others - Cache Review - Purpose of Cache - A cache is a small, high-speed memory located close to the CPU that stores frequently accessed data and instructions. - Reduces the average time to access data from main memory, improving CPU efficiency and performance. - Cache Types - Instruction Cache (I-Cache): Stores instructions to reduce latency in instruction fetching. - Data Cache (D-Cache): Stores data to reduce latency in data access. - Unified Cache: A single cache that stores both instructions and data. - Cache Levels - L1 Cache: Closest to the CPU, extremely fast but small in size. - L2 Cache: Larger and slightly slower, provides data if not found in L1. - L3 Cache: Found in some processors, shared among cores, larger and slower than L1 and L2. - Cache Mapping Techniques - Direct-Mapped Cache: Each memory block maps to exactly one location in the cache. - Fully Associative Cache: Any memory block can be stored in any cache location. - Set-Associative Cache: A combination where each memory block maps to a set, and can be placed in any location within that set. - Cache Performance - Performance Metrics - Cache Hit: Occurs when the requested data is found in the cache, resulting in faster data retrieval. - Cache Miss: Occurs when the requested data is not found, requiring data retrieval from main memory. - Hit Rate: The percentage of memory accesses that result in cache hits. - Miss Rate: The percentage of memory accesses that result in cache misses, directly affecting performance. - Miss Penalty: The additional time required to fetch data from main memory on a miss. - Average Memory Access Time (AMAT): Calculated as AMAT = Hit Time + (Miss Rate × Miss Penalty) - Factors Affecting Cache Performance - Cache Size: Larger caches generally reduce miss rates but may increase access time. - Block Size: Determines the amount of data transferred on each cache miss. - Associativity: Higher associativity typically reduces conflict misses but increases search complexity. - Techniques to Improve Cache Performance - Prefetching: Anticipating which data will be needed soon and loading it into the cache. - Replacement Policies: Determines which cache line to replace on a cache miss (e.g., Least Recently Used (LRU), First-In-First-Out (FIFO)). - Two-Way In-Order Superscalar - Superscalar Architecture - A processor design where multiple instructions are issued and executed per clock cycle, increasing instruction-level parallelism. - Requires multiple execution units to allow simultaneous instruction processing. - In-Order Execution: - Instructions are issued and executed in the order they appear in the program, without reordering. - Simpler design but can result in pipeline stalls if dependencies between instructions are not managed well. - Two-Way Superscalar - Allows two instructions to be issued and executed simultaneously per clock cycle. - Benefits: Improves throughput by allowing multiple operations without complex out-of-order execution mechanisms. - Challenges: Requires careful handling of dependencies and may encounter stalls if both instructions need the same resources. - Fetch Logic and Alignment - Fetch Logic - The mechanism that retrieves instructions from memory and loads them into the pipeline. - Determines how quickly and efficiently instructions are fed to the processor, impacting overall performance. - In a superscalar architecture, fetch logic must retrieve multiple instructions per cycle to keep the pipeline filled. - Instruction Alignment - Ensures that instructions are correctly positioned in memory for fast and efficient retrieval. - Critical in superscalar processors, as instructions must align properly with execution units. - Challenges in Superscalar Fetching and Alignment: - Branch Instructions: Control hazards from branches can disrupt fetch logic, requiring branch prediction to maintain efficiency. - Alignment Hardware: Special hardware may be needed to handle misaligned instructions to maintain the dual-instruction fetch rate in a two-way superscalar processor. A graphic of a computer processor is shown on the page where the CPU is illustrated with microcode. This includes: * Micro-code * HAR (Hardware Register) * Jump tables * TMP * PC (Program counter) * IAR (Instruction Address Register) * MAR (Memory Address Register) * MDR (Memory Data Register) * IR (Instruction Register) * Memory A diagram of the pipeline, including the five stages is also illustrated. * IF (Instruction Fetch) * ID (Instruction Decode) * EX (Execute) * MEM (Memory Access) * WB (Write Back) A diagram depicting the five stages of instruction fetching in the cache is presented, showing how a cache memory interacts with a CPU. It's comprised of the following functions: * Instruction Fetch * Instruction Decode * Register Fetch * Execute * Address Calc. * Memory Access * Write Back It is a graphic depiction of data flow, where information is transferred between registers, memory, and the ALU via a series of buses.

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