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Load Balancing For High Performance Computing Using Quantum Annealing: Grid Based Application
Manage episode 427186819 series 3474159
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)
346 Episoden
Manage episode 427186819 series 3474159
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)
346 Episoden
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