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Load Balancing For High Performance Computing Using Quantum Annealing: Grid Based Application

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Manage episode 427186819 series 3474159
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/load-balancing-for-high-performance-computing-using-quantum-annealing-grid-based-application.
Exploring quantum annealing's efficacy in load balancing for high-performance computing with grid-based and off-grid simulations on quantum hardware.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #load-balancing, #high-performance-computing, #quantum-annealing, #grid-based-simulation, #off-grid-simulation, #computational-physics, #exascale-computing, #parallel-computing, and more.
This story was written by: @loadbalancing. Learn more about this writer by checking @loadbalancing's about page, and for more stories, please visit hackernoon.com.
Quantum annealing (QA) was used to partition a grid using a round robin protocol. QA and SA appear to surpass SD when computational work is distributed across a higher number of processors. A distinct “kink” is observed when partitioning across four processors. This kink indicates a drop in solution quality compared to the results achieved with Simulated Annealing (SA) and Steepest Descent (SD)

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346 episodes

Artwork
iconShare
 
Manage episode 427186819 series 3474159
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/load-balancing-for-high-performance-computing-using-quantum-annealing-grid-based-application.
Exploring quantum annealing's efficacy in load balancing for high-performance computing with grid-based and off-grid simulations on quantum hardware.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #load-balancing, #high-performance-computing, #quantum-annealing, #grid-based-simulation, #off-grid-simulation, #computational-physics, #exascale-computing, #parallel-computing, and more.
This story was written by: @loadbalancing. Learn more about this writer by checking @loadbalancing's about page, and for more stories, please visit hackernoon.com.
Quantum annealing (QA) was used to partition a grid using a round robin protocol. QA and SA appear to surpass SD when computational work is distributed across a higher number of processors. A distinct “kink” is observed when partitioning across four processors. This kink indicates a drop in solution quality compared to the results achieved with Simulated Annealing (SA) and Steepest Descent (SD)

  continue reading

346 episodes

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