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69 results for “jedbrown”
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#PETSc 3.19 has been released. Some highlights:
* Sparse matrices have good perf w/out user-provided preallocation.
* Optimal simplex quadrature up to 20th.
* -dm_plex_shape zbox creates a "born parallel" mesh with Z-order partition.
* "Isoperiodicity": late mapping enables simple traversal of manifolds adjacent to periodic connections.
* Scalable CGNS output: high order elements and flexible batching of time series.
* Perf/GPU improvements.
* Coordinate-based SF graph. -
When does a fluids mini-app cease to be "mini"? What separates Colorful Fluid Dynamics (CFD; h/t @kpdooty) from a tool for science?
I'd argue it's when you collect turbulent statistics and get careful about statistical convergence. Our fluids mini-app was created to drive #libCEED and #PETSc library integration, but has now taken this step as it transforms into an instrument to explain how RANS models fail (and what they need to succeed). With a 10x strong scaling boost so far.
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When does a fluids mini-app cease to be "mini"? What separates Colorful Fluid Dynamics (CFD; h/t @kpdooty) from a tool for science?
I'd argue it's when you collect turbulent statistics and get careful about statistical convergence. Our fluids mini-app was created to drive #libCEED and #PETSc library integration, but has now taken this step as it transforms into an instrument to explain how RANS models fail (and what they need to succeed). With a 10x strong scaling boost so far.
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When does a fluids mini-app cease to be "mini"? What separates Colorful Fluid Dynamics (CFD; h/t @kpdooty) from a tool for science?
I'd argue it's when you collect turbulent statistics and get careful about statistical convergence. Our fluids mini-app was created to drive #libCEED and #PETSc library integration, but has now taken this step as it transforms into an instrument to explain how RANS models fail (and what they need to succeed). With a 10x strong scaling boost so far.
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When does a fluids mini-app cease to be "mini"? What separates Colorful Fluid Dynamics (CFD; h/t @kpdooty) from a tool for science?
I'd argue it's when you collect turbulent statistics and get careful about statistical convergence. Our fluids mini-app was created to drive #libCEED and #PETSc library integration, but has now taken this step as it transforms into an instrument to explain how RANS models fail (and what they need to succeed). With a 10x strong scaling boost so far.
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@tgamblin @danibanez Indeed! We also have #libCEED and (partial) #PETSc bindings. @TimoBetcke is also working on Rust for scientific computing/linear algebra. And you might be interested in conversations at https://rust-scicomp.zulipchat.com/
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@tgamblin @danibanez Indeed! We also have #libCEED and (partial) #PETSc bindings. @TimoBetcke is also working on Rust for scientific computing/linear algebra. And you might be interested in conversations at https://rust-scicomp.zulipchat.com/
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@tgamblin @danibanez Indeed! We also have #libCEED and (partial) #PETSc bindings. @TimoBetcke is also working on Rust for scientific computing/linear algebra. And you might be interested in conversations at https://rust-scicomp.zulipchat.com/
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@tgamblin @danibanez Indeed! We also have #libCEED and (partial) #PETSc bindings. @TimoBetcke is also working on Rust for scientific computing/linear algebra. And you might be interested in conversations at https://rust-scicomp.zulipchat.com/