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Add 'parabar' and 'doParabar', roll date
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HighPerformanceComputing.md

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@@ -3,7 +3,7 @@ name: HighPerformanceComputing
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topic: High-Performance and Parallel Computing with R
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maintainer: Dirk Eddelbuettel
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version: 2024-11-24
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version: 2025-01-15
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source: https://github.com/cran-task-views/HighPerformanceComputing/
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---
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recurrent networks, any combination of both, and custom neural network architectures.
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- The `r pkg("mvnfast")` uses the sumo random number generator to generate multivariate and normal
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distribtuions in parallel.
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- The `r pkg("rxode2")` uses parallel processing (via `OpenMP`) for faster solving of ordinary
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- The `r pkg("rxode2")` package uses parallel processing (via `OpenMP`) for faster solving of ordinary
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differential equations (ODEs) over multiple units (grouped by `ID`) and can generate random
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numbers for each ODE simulation problem.
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- The `r pkg("nlmixr2")` uses parallel ODE solving from `rxode2` to solve nonlinear mixed effects
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- The `r pkg("nlmixr2")` package uses parallel ODE solving from `rxode2` to solve nonlinear mixed effects
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models in parallel (for the algorithm `"saem"`).
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- The `r pkg("parabar")` package implements a progress bar for parallel applications; the
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`r pkg("doParabar")` package builds on this with a `foreach` parallel adapter for `parabar` backends.
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### Parallel computing: GPUs
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