RcppParallel provides high-level functions for parallel programming with 'Rcpp'. The package includes functions like 'parallelFor()' for converting serial loops and 'parallelReduce()' for accumulating values. It was authored by JJ Allaire and is listed on the paperswithcode platform.
Use Cases
- Accelerating serial for-loop computations based on the 'parallelFor()' function
- Performing parallel aggregation operations based on the 'parallelReduce()' function
- Benchmarking parallel programming patterns for Rcpp extensions
- Teaching parallel computing concepts using Rcpp examples
Strengths
- Provides specific, named high-level functions ('parallelFor', 'parallelReduce') for parallel programming
- Targets a well-defined and popular extension framework ('Rcpp') for the R language
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- JJ Allaire
- Collection Method
- Likely a software package release.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified
- Geography
- null