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#SystemAttributesToPerformance #CPUPerformanceEvaluation #PerformanceMeasure ofCPU #ClockRate #CPI #ExecutionTime #MIPSRate #Throughput --This video explains System attributes to Performance / CPU Performance Evaluation / Performance measures of CPU. The video cover following CPU performance measures and system attributes to Performance: -Turn around time -CPU Clock and CPU clock diagram -Cycle Time/Clock Cycle/clock period -ClockRate / clock frequency -CPI (Cycles Per Second) -Instruction Count / Instruction Path length -Execution Time / CPU Time/CPU Execution Time -MIPS (Millions Instruction per Seconds) Rate -Throughput rate / Performance -Numerical on System attributes to Performance or Numerical on CPU Performance measures ---Example 1: For the multi-cycle MIPS Processor, there are five types of instructions: Load (5 cycles), Store (4 cycles), R-type (4 cycles), Branch (3 cycles), Jump (3 cycles) If a program has: 50% load instructions, 25% store instructions, 15% R-type instructions, 8% branch instructions, 2% jump instructions. Then Calculate CPI (or Average CPI) ---Example 2: An instruction set has three instruction classes A, B, C. CPI are given. Two code sequences have the following instruction counts given. Find the CPU cycles and CPI. --This is lecture 11 on of unit 1 introduction to Parallel Processing and Computing (PPC) or Advance Computer Architecture (ACA) according to CSVTU bhilai. For more videos on DBMS follow the given link: PPC / ACA Playlist: • Advance Computer Architecture/ Parallel Pr... Lecture 1: Parallel Processing and Computing Introduction Part 1 • Parallel Processing and Computing | Introd... Lecture 2: Parallel Processing and Computing Introduction Part-2 | Von Neumann Architecture | Levels of Parallelism • Parallel Processing & Computing | Intro Pa... Lecture 3: Parallel Processing in Uni-processor System | Parallel Processing Mechanisms • Parallel Processing in Uniprocessor System... Lecture 4: Flynn’s Classification | SISD, SIMD, MISD, MIMD • Flynn’s Classification | SISD,SIMD,MISD,MI... Lecture 5: Feng’s Classification & Handler’s Classification • Feng’s Classification & Handler’s Classifi... Lecture 6: Amdahl’s Law in Parallel Processing | Speedup Performance Law • Amdahl’s Law in Parallel Processing | Spee... Lecture 7: Principles of Scalable Performance| Performance Metrics • Principles of Scalable Performance | Perfo... Lecture 8: Parallel Processing in Memory : Shared Memory, Distributed Memory and Hybrid Memory • Parallel Processing in Memory | Shared Mem... Lecture 9: Moore’s Law • Moore’s Law | PPC Lecture 9 | Shanu Kuttan... Lecture 10: Parallel Algorithms | Parallel Algorithm Complexity • Parallel Algorithms | Parallel Algorithm C... Lecture 11: System attributes to Performance | CPU Performance Evaluation • System attributes to Performance l CPU Per... Lecture 12: Numerical on System attribute to Performance | Find CPI-MIPS-Execution time • Numerical on System attribute to Performan... Lecture 13: Parallel Programming Models • Parallel Programming Models | ACA | PPC | ... Lecture 14: Cache Coherence | Cache Coherence Protocols • Cache Coherence | Cache Coherence Protocol... Lecture 15: Cache Coherence Protocols | Snoopy Bus Protocol • Cache Coherence Protocols | Snoopy Bus Pro... Lecture 16: Directory Based Protocol | Cache Coherence Protocols • Directory Based Protocol | Cache Coherence... Lecture 17: Conditions of Parallelism | Data, Control & Resource Dependence • Conditions of Parallelism | Data, Control ... Lecture 18: Numerical on Data Dependency and Resource Dependency | Part 1 • Numerical on Data Dependency and Resource ... Lecture 19: Numerical on Data Dependency and Resource Dependency | Part 2 • Numerical on Data Dependency and Resource ... Lecture 20: Bernstein’s Conditions of Parallelism • Bernstein’s Conditions of Parallelism | Co... Lecture 21: Numerical on Bernstein’s Conditions of Parallelism | Conditions of Parallelism Part-2 • Numerical on Detection of Parallelism usin... Lecture 22: Program Flow Mechanisms | Control flow, Data flow, Demand driven • Program Flow Mechanisms | Control flow, Da... Lecture 23: Pipelining • Pipelining Concept | Example | Space Time ... ---Welcome to this youtube channel "Shanu Kuttan CSE Classes " by Shanu Kuttan. This is a technical educational channel for subjects of computer science and engineering subjects (CSE) as per university syllabus and also cover GATE topics. It provides Computer Science and engineering classes in Hindi. This channel’s video helps Computer Science and Engineering students to understand different subjects like Computer System Architecture (CSA) i.e. Computer Organization and Architecture (COA) or simply Computer Architecture, Database Management System (DBMS), Parallel Processing and Computing (PPC) unit wise as per the CSVTU syllabus i.e. Chhattisgarh Swami Vivekanand Technical University, Bhilai --Contact Link in Facebook : / shanukuttan.cseclasses