Load balancing in computing involves distributing tasks across resources to improve processing efficiency. It can optimize response time and prevent overloading some nodes while leaving others idle. There are two main approaches: static algorithms, which don't consider machine states, and dynamic algorithms, which are more efficient but require information exchanges between units.
UC Berkeley
Spring 2020
The course addresses programming parallel computers to solve complex scientific and engineering problems. It covers an array of parallelization strategies for numerical simulation, data analysis, and machine learning, and provides experience with popular parallel programming tools.
No concepts data
+ 36 more concepts