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

November 16-16, 2021

8th World Machine Learning and Deep learning Conference

Barcelona, Spain
November 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy
December 06-07, 2021

8th Global Innovators Summit

Singapore City, Singapore
December 13-14, 2021

International Conference on Microfluidics & Bio-MEMS

Berlin, Germany
February 14-15, 2022

International Conference on Mechatronics and Automation

Paris, France
February 14-15, 2022

2nd International Congress on AI and Machine Learning

Prague, Czech Republic
February 14-15, 2022

Global Summit on Robotics and Artificial Intelligence

Prague, Czech Republic
May 28-29, 2022

3rd Annual Congress on Biofuels and Biopolymers

Vancouver, Canada
September 23-24, 2022

World Summit on Aerospace

Montreal, Canada

Parallel Processing Conference Speakers

Recommended Sessions

Related Journals

Are you interested in