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Load Balancing For High Performance Computing Using Quantum Annealing: Adaptive Mesh Refinement
Manage episode 427186820 series 3474159
This story was originally published on HackerNoon at: https://hackernoon.com/load-balancing-for-high-performance-computing-using-quantum-annealing-adaptive-mesh-refinement.
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.
In order to formulate load balancing for AMR as an Ising problem suitable for annealers, data was gathered using CompReal66, a fully compressible, finite difference flow solver for the Navier-Stokes equations. Data is defined on a nested hierarchy of logically rectangular collection of cells called grids (or patches) Each level refers to the union of all grids that share the same mesh spacing.
346 פרקים
Manage episode 427186820 series 3474159
This story was originally published on HackerNoon at: https://hackernoon.com/load-balancing-for-high-performance-computing-using-quantum-annealing-adaptive-mesh-refinement.
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.
In order to formulate load balancing for AMR as an Ising problem suitable for annealers, data was gathered using CompReal66, a fully compressible, finite difference flow solver for the Navier-Stokes equations. Data is defined on a nested hierarchy of logically rectangular collection of cells called grids (or patches) Each level refers to the union of all grids that share the same mesh spacing.
346 פרקים
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