CPU vs GPUComparison
Understanding the Differences in
Characteristics
2.
Architecture
• CPU (CentralProcessing Unit):
• - Few cores optimized for sequential serial
processing
• - Complex control units and large cache
• GPU (Graphics Processing Unit):
• - Hundreds to thousands of smaller cores
• - Designed for parallel processing of multiple
tasks
3.
Performance
• CPU:
• -Better for tasks requiring high single-thread
performance
• - Handles general-purpose computing
efficiently
• GPU:
• - Superior for tasks involving massive
parallelism
4.
Use Cases
• CPU:
•- Operating systems, web browsing, office
applications
• - General computing tasks
• GPU:
• - Gaming, video rendering, machine learning
• - Scientific simulations and cryptocurrency
mining
5.
Parallelism
• CPU:
• -Limited parallelism with few cores
• - Optimized for sequential task execution
• GPU:
• - High parallelism with many cores
• - Executes thousands of threads
simultaneously
6.
Power Efficiency
• CPU:
•- Generally more power-efficient for light tasks
• - Lower power consumption in idle states
• GPU:
• - Consumes more power during intensive tasks
• - Less efficient for general-purpose computing