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 14-15, 2020

International Conference on Microfluidics

Dubai, UAE
September 21-22, 2020

Global Summit on Computer Science and Data Management

Sydney, Australia
November 23-24,2020

8th International Conferences on Green Energy & Expo

Edinburgh, Scotland
October 16-17, 2020

International Summit on Industrial Engineering

Munich, Germany
October 19-20, 2020

International Conference on Microfluidics & Bio-MEMS

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November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

Berlin, Germany
December 10-11, 2020

2nd International Conference on Wireless Technology

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