Parallel Processing
Parallel Processing reduces processing time by simultaneously breaking up and running program tasks on multiple microprocessors. There are more engines (CPUs) running, which makes the program run faster. It is particularly useful when running programs that perform complex computations, and it provides a viable option to the quest for cheaper computing alternatives. Supercomputers commonly have hundreds of thousands of microprocessors for this purpose. Parallel programming is an evolution of serial computing where the jobs are broken into discrete parts that can be executed concurrently. It is further broken down to a series of instructions and the instructions from each part execute simultaneously on different CPUs.
- Super computing / High Performance Computing (HPC)
- General purpose computing on graphics processing units
- Adaptive Sequential Posterior Simulators
- Re-optimizing Data-Parallel Computing
Related Conference of Parallel Processing
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
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November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
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