Podcast
Questions and Answers
How does a compiler aid in the simplification of programming tasks?
How does a compiler aid in the simplification of programming tasks?
A compiler translates high-level language expressions like A+B into assembly language, enabling programmers to work with a more intuitive syntax.
What is one major benefit of using high-level programming languages?
What is one major benefit of using high-level programming languages?
High-level programming languages improve programmer productivity by allowing the use of natural language and algebraic notation.
Why is it important not to let abstraction lead to inefficiency in computer architecture?
Why is it important not to let abstraction lead to inefficiency in computer architecture?
Abstraction should simplify complexities, but if it results in inefficiency, it can slow down processing and reduce performance.
What role does an assembler play in the programming process?
What role does an assembler play in the programming process?
In what way do programming languages allow for independence from specific computers?
In what way do programming languages allow for independence from specific computers?
What is a potential speedup for matrix multiplication in Python attributed to?
What is a potential speedup for matrix multiplication in Python attributed to?
How does the concept of 'computer abstractions' contribute to managing complexity?
How does the concept of 'computer abstractions' contribute to managing complexity?
Why might a programmer prefer to use high-level programming languages over assembly language?
Why might a programmer prefer to use high-level programming languages over assembly language?
How can we quantitatively compare the performance of two computers?
How can we quantitatively compare the performance of two computers?
If Computer X runs a program in 10 seconds and Computer Y in 15 seconds, how much faster is Computer X than Computer Y?
If Computer X runs a program in 10 seconds and Computer Y in 15 seconds, how much faster is Computer X than Computer Y?
What factors contribute to the total wall clock time of a computer?
What factors contribute to the total wall clock time of a computer?
Why is measuring the performance of a computer considered difficult?
Why is measuring the performance of a computer considered difficult?
What does the term 'relative performance' refer to?
What does the term 'relative performance' refer to?
In performance assessment, why is it important to include operating system overhead?
In performance assessment, why is it important to include operating system overhead?
What is the significance of response time in computer performance assessment?
What is the significance of response time in computer performance assessment?
If a program runs faster on one computer, what could be some potential reasons for this?
If a program runs faster on one computer, what could be some potential reasons for this?
What is the primary advantage of using pipelining in processor architecture?
What is the primary advantage of using pipelining in processor architecture?
In a non-pipelined processor, how is the total time taken by a program calculated?
In a non-pipelined processor, how is the total time taken by a program calculated?
Calculate the total clock cycle time (Tclk) of a single-cycle processor given T1=160n, T2=120n, T3=130n, T4=100n, and T5=140n.
Calculate the total clock cycle time (Tclk) of a single-cycle processor given T1=160n, T2=120n, T3=130n, T4=100n, and T5=140n.
What happens to the stages in a pipelined processor during execution?
What happens to the stages in a pipelined processor during execution?
How many stages can a processor's pipeline have?
How many stages can a processor's pipeline have?
What are the stages typically involved in a pipelined execution?
What are the stages typically involved in a pipelined execution?
Why is pipelining considered more effective than non-pipelined processing in modern computer architecture?
Why is pipelining considered more effective than non-pipelined processing in modern computer architecture?
If a processor uses a pipeline with five stages, how does this affect the execution time compared to a single-cycle processor?
If a processor uses a pipeline with five stages, how does this affect the execution time compared to a single-cycle processor?
What is the clock cycle time for Computer A?
What is the clock cycle time for Computer A?
What is the CPI (Cycles Per Instruction) for Computer B?
What is the CPI (Cycles Per Instruction) for Computer B?
Calculate the CPU time for Computer A given a CPI of 2.0.
Calculate the CPU time for Computer A given a CPI of 2.0.
Which computer is faster for this program?
Which computer is faster for this program?
By how much is Computer A faster than Computer B?
By how much is Computer A faster than Computer B?
Why is performance assessment of computers considered difficult?
Why is performance assessment of computers considered difficult?
What factors affect the CPU time in computer performance evaluation?
What factors affect the CPU time in computer performance evaluation?
What has been observed about the trends of clock rate and power in Intel x86 microprocessors over 36 years?
What has been observed about the trends of clock rate and power in Intel x86 microprocessors over 36 years?
What is the primary source of energy consumption in CMOS technology?
What is the primary source of energy consumption in CMOS technology?
Explain the correlation between clock rate and power for microprocessors.
Explain the correlation between clock rate and power for microprocessors.
What is the effect on dynamic power when a processor reduces its capacitive load and voltage?
What is the effect on dynamic power when a processor reduces its capacitive load and voltage?
If a new processor has 85% of the capacitive load compared to an older processor, how does this affect power?
If a new processor has 85% of the capacitive load compared to an older processor, how does this affect power?
What voltage reduction was assumed for the new processor relative to processor B?
What voltage reduction was assumed for the new processor relative to processor B?
Define the impact of a 15% shrink in frequency due to voltage reduction.
Define the impact of a 15% shrink in frequency due to voltage reduction.
What is the significance of reaching the practical power limit for cooling in microprocessors?
What is the significance of reaching the practical power limit for cooling in microprocessors?
What does the SPECpower benchmark measure in server performance?
What does the SPECpower benchmark measure in server performance?
Define the term 'overall ssj_ops per watt' as used in SPECpower.
Define the term 'overall ssj_ops per watt' as used in SPECpower.
What is the problem with utilizing only a subset of the performance equation?
What is the problem with utilizing only a subset of the performance equation?
How does the formula for overall ssj_ops per watt integrate both performance and power?
How does the formula for overall ssj_ops per watt integrate both performance and power?
Why might benchmarking using the SPECpower model be important for server performance evaluations?
Why might benchmarking using the SPECpower model be important for server performance evaluations?
What can result from neglecting the consideration of power consumption in performance metrics?
What can result from neglecting the consideration of power consumption in performance metrics?
In the context of the content provided, what does 'workload level' refer to?
In the context of the content provided, what does 'workload level' refer to?
What is a potential consequence of simplifying performance metrics for system evaluation?
What is a potential consequence of simplifying performance metrics for system evaluation?
Flashcards
Abstraction in Design
Abstraction in Design
Simplifying complex designs by hiding lower-level details and focusing on high-level elements.
High-level Language
High-level Language
Programming languages that resemble natural language (like English) or mathematical notation.
Compiler
Compiler
A program that translates high-level language code into assembly language code.
Assembly Language
Assembly Language
Signup and view all the flashcards
Binary Instructions
Binary Instructions
Signup and view all the flashcards
Program Independence
Program Independence
Signup and view all the flashcards
Abstraction Inefficiency
Abstraction Inefficiency
Signup and view all the flashcards
Optimization Potential
Optimization Potential
Signup and view all the flashcards
Pipelined Approach
Pipelined Approach
Signup and view all the flashcards
Pipeline Stages
Pipeline Stages
Signup and view all the flashcards
Non-Pipelined Processor
Non-Pipelined Processor
Signup and view all the flashcards
Clock Cycle Time (Tclk)
Clock Cycle Time (Tclk)
Signup and view all the flashcards
Total Execution Time (Ttotal)
Total Execution Time (Ttotal)
Signup and view all the flashcards
Instruction Fetch
Instruction Fetch
Signup and view all the flashcards
Instruction Decode
Instruction Decode
Signup and view all the flashcards
Instruction Execution
Instruction Execution
Signup and view all the flashcards
Relative Performance
Relative Performance
Signup and view all the flashcards
Execution Time
Execution Time
Signup and view all the flashcards
Wall-Clock Time
Wall-Clock Time
Signup and view all the flashcards
Response Time
Response Time
Signup and view all the flashcards
Elapsed Time
Elapsed Time
Signup and view all the flashcards
Performance Assessment Difficulty
Performance Assessment Difficulty
Signup and view all the flashcards
Faster Computer
Faster Computer
Signup and view all the flashcards
Uni-programming Processes
Uni-programming Processes
Signup and view all the flashcards
Clock Cycle Time
Clock Cycle Time
Signup and view all the flashcards
CPI (Cycles Per Instruction)
CPI (Cycles Per Instruction)
Signup and view all the flashcards
CPU Time (Execution Time)
CPU Time (Execution Time)
Signup and view all the flashcards
Computer A Clock Cycle Time
Computer A Clock Cycle Time
Signup and view all the flashcards
Computer A CPI
Computer A CPI
Signup and view all the flashcards
Computer B Clock Cycle Time
Computer B Clock Cycle Time
Signup and view all the flashcards
Computer B CPI
Computer B CPI
Signup and view all the flashcards
Power Wall
Power Wall
Signup and view all the flashcards
CMOS
CMOS
Signup and view all the flashcards
Dynamic Energy
Dynamic Energy
Signup and view all the flashcards
Capacitive Loading
Capacitive Loading
Signup and view all the flashcards
Voltage
Voltage
Signup and view all the flashcards
Frequency Impact on Power
Frequency Impact on Power
Signup and view all the flashcards
Power Reduction Strategies
Power Reduction Strategies
Signup and view all the flashcards
Relative Power Comparison
Relative Power Comparison
Signup and view all the flashcards
SPECpower Benchmark
SPECpower Benchmark
Signup and view all the flashcards
Overall ssj_ops per watt
Overall ssj_ops per watt
Signup and view all the flashcards
ssj_ops
ssj_ops
Signup and view all the flashcards
Performance Pitfall
Performance Pitfall
Signup and view all the flashcards
Performance Metric
Performance Metric
Signup and view all the flashcards
Simplified Performance Metric
Simplified Performance Metric
Signup and view all the flashcards
Study Notes
Computer Organization and Design
- Course taught by Prof. Mahesh Awati and Dr. Vanamala H R
- Department of Electronics and Communication Engineering
- PES University, celebrating 50 years
Unit 4 - Computer Abstractions and Technology
-
Syllabus/Topics:
- Introduction
- Eight Great Ideas in Computer Architecture
- Technologies for building processors and memory
- Performance
- The Power Wall
- Switching from uniprocessor to multiprocessor
- Benchmarking Intel i7
- Fallacies and Pitfalls
- Concluding Remarks
-
Reference: Computer Organization and Design - The Hardware/Software Interface: RISC-V Edition by David A. Patterson and John L. Hennessy
Seven Great Ideas in Computer Architecture
- Abstraction: Hides implementation details
- Pipelining: Tasks performed in sequence
- Parallelism: Tasks done simultaneously
- Common Case Fast Prediction: Optimizing the common case for better performance
- Hierarchy: Layering approach for different levels of memory
- Dependability: Redundancy to ensure dependability
Use Abstraction to Simplify Design
- Software that provides services (operating system, compilers, loaders, and assemblers)
- An operating system- sits between the user’s program and the hardware
- A compiler translates high-level language into assembly language statements
Abstraction & Inefficiency
- Takeaway: Abstraction is good but should not result in inefficiency
- Matrix Multiply Speedup Over Native Python (graph shown)
Pipelined Datapath
- 5 Stage Pipelined Processor (diagram shown)
- Stages: IFID, IDIE, IEMA, MAWB, T5
Performance via Pipelining
- Stages independently perform the task in sequence (pipelined approach).
- Processor can have Single, Two, Three, Five, or Six stages.
Comparison of Non-Pipelined Versus Pipelined Mode
- Time Interval of Clock of Single Cycle Processor = Tclk = T1+T2+T3+T4+T5 (example shown)
- Time taken by a program with N number of Instructions takes Ttotal = N X Tclk (example shown)
- 5 stage Pipeline Processor (time interval shown)
- Time taken by a program with N number of Instructions takes Ttotal = (5 + N - 1) × Tclk (Ideal)
Performance via Parallelism
- Sequential computing: Operations performed in order, one at a time
- Parallel computing: Breaking a problem into smaller tasks for concurrent execution
Performance via Prediction
- Guessing the branch direction before confirmation.
- Reduces pipeline flush.
Make the Common Case Fast
- Enhancing performance better through simpler common case optimization.
- Examples and related data shown (e.g., multiplication improved by 10%, addition improved by 50%)
Amdahl's Law is a formula used to find the maximum improvement in performance of a system when only a part of the system is improved. It is named after Gene Amdahl, who presented it in the 1960s. The law highlights the diminishing returns of parallelizing a task, stating that the speedup of a program is limited by the time spent on the sequential portion of the task. Specifically, it can be expressed as:
- Speedup (S) = 1 / ((1 - P) + (P / N))
where:
- P is the proportion of the program that can be parallelized,
- N is the number of processors,
- The term (1 - P) represents the time taken by the portion of the program that cannot be parallelized.
As more processors are added, the impact of the sequential part (1 - P) becomes the bottleneck, illustrating that merely increasing parallelism does not always lead to proportionally better performance if significant portions remain serial. Amdahl's Law serves as a crucial guideline in computer architecture and optimization, reminding engineers of the limitations inherent in parallel processing.
- Percentage of the program that can run in parallel
- Implications of running a program sequentially and in parallel
Hierarchy of Memories
- Programmers want memory to be fast, large, and cheap.
- Various levels with varying access speeds (registers, caches, main memory, traditional disk, and others).
Dependability via Redundancy
- Physical devices can fail.
- Redundant components take over during failures.
Technologies for Building Processors and Memory
- Technologies used over time in computers (table shown)
- Year, Technology, Relative performance/unit cost
- Chip manufacturing process (diagram shown)
Cost and Price of the Chip
- Yield: Percentage of good dies on a wafer
- Cost per wafer calculation (2 formulas shown)
Numerical Examples
- Number of dies per wafer (2 examples shown)
- Die yield calculation (2 examples shown)
- Based on defect density and die dimensions
Performance
- Basic Definitions (Response time/Execution time - Throughput/bandwidth)
- Task: Changing processors and adding processors impact on throughput and response time
Performance of a Computer
- To maximize performance: minimize execution time.
- Performance and execution time are inversely proportional
Relative Performance
- If X is n times faster than Y, then execution time on Y is n times longer than on X
- Example (shown)
Measuring Performance
- Wall clock time, Response time, Elapsed time (including disk, memory, I/O, and OS activities)
Instruction Performance
- Clock cycles per instruction (CPI): average clock cycles for instructions
- Relationship between CPU execution time, and the CPI for a program.
Comparing Code Segments
- Given different instructions (A, B, C) and CPI for each, choose sequence is faster
- Calculate CPI
Fallacies (reasoning that is logically invalid)
- Fallacy 1- considering largest clock rate = best performance
- Fallacy 2- largest instruction count means longest execution time
- Fallacy 3- using MIPS as a performance metric
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
This quiz explores key concepts related to compilers, programming languages, and computer abstractions. It addresses the importance of high-level programming languages, the role of assemblers, and factors affecting computer performance. Test your knowledge on how these elements contribute to programming efficiency and complexity management.