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Fun fact: This course, DD1396 Parallel Programming in Introduction to Computer Science, doesn't feature parallelism. Gorutines are mainly concurrent, sometimes executed in parallel on different cores. They are implemented as tasks and are scheduled on OS-threads. Thus process partitioning might, in certain contexts, not be effective. Every process in Go is carried by goroutines; the main function is running on the main goroutine. Goroutines also don't have to be run directly after creation, but are queued in wait for an execution window. Therefore, programmers cannot be sure that gorutine results are produced in a foreseen manner.
Here are some notes:
Fractal Images
The original instructions state:
Make sure you add a comment in julia.go with your original runtime and your improved runtime.
Did you? Your answer: My program uses all available cpus and is about 5 times faster.
MapReduce
Damn, your computer is faster than mine.
Keep it up!
The text was updated successfully, but these errors were encountered:
Well done Oliver!
Fun fact: This course, DD1396 Parallel Programming in Introduction to Computer Science, doesn't feature parallelism. Gorutines are mainly concurrent, sometimes executed in parallel on different cores. They are implemented as tasks and are scheduled on OS-threads. Thus process partitioning might, in certain contexts, not be effective. Every process in Go is carried by goroutines; the main function is running on the main goroutine. Goroutines also don't have to be run directly after creation, but are queued in wait for an execution window. Therefore, programmers cannot be sure that gorutine results are produced in a foreseen manner.
Here are some notes:
Fractal Images
The original instructions state:
Did you? Your answer:
My program uses all available cpus and is about 5 times faster.
MapReduce
Damn, your computer is faster than mine.
Keep it up!
The text was updated successfully, but these errors were encountered: