Types of Problems - Python in parallel
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Types of Problems
- CPU intensive application - use more of the cores to reduce the wallclock time.
- IO intensive applications - don’t waste the CPU and wallclock time while waiting for the IO process.
- Interactive applications - make sure they are responsive during long operations.