Module functions 

Auto-generated module

🤖 Generated with SplitRS

Functions

bitonic_argsort

Bitonic sort that returns the original indices (argsort variant).

bitonic_sort

Bitonic sort in ascending order.

compute_load_balance

Compute a load balance plan for n items across num_workers workers.

compute_load_balance_metric

Compute a load-balance efficiency metric given per-worker task counts.

execute_balanced

Execute a function in parallel with load-balanced ranges.

merge_sort_argsort

Merge sort returning the sorted permutation (argsort, stable).

merge_sort_f64

Stable merge sort for f64 values (CPU reference implementation).

merge_sort_parallel

Parallel merge sort for f64 slices using Rayon.

merge_two_sorted

Merge two sorted f64 slices into one sorted Vecf64`.

parallel_aabb_pairs

Parallel AABB overlap detection.

parallel_argsort

Parallel argsort: returns indices that would sort data in ascending order.

parallel_dot_product

Parallel dot product of two slices.

parallel_exclusive_scan

Parallel exclusive prefix sum using a two-pass algorithm.

parallel_for

Execute f(i) for i in 0..n, splitting into chunks of chunk_size.

parallel_histogram

Parallel histogram: count elements falling into each bin.

parallel_inclusive_scan

Parallel inclusive prefix sum.

parallel_lj_forces

Parallel Lennard-Jones (12-6) force computation.

parallel_map_reduce

Parallel map-reduce: map each element, then reduce results.

parallel_mean

Parallel mean.

parallel_norm2

Parallel L2 norm (Euclidean norm).

parallel_pairwise_forces

Parallel pairwise force accumulation.

parallel_partition

Parallel partition: split data into two groups based on a predicate.

parallel_rank

Parallel rank: compute the rank of each element (0-based) in sorted order.

parallel_reduce_custom

Parallel reduction with a custom binary operator.

parallel_reduce_max

Parallel max reduction using Rayon.

parallel_reduce_min

Parallel min reduction using Rayon.

parallel_reduce_sum

Parallel sum reduction using Rayon.

parallel_sort_by_key

Parallel sort by key: sorts items based on key_fn.

parallel_sort_f64

Parallel sort of f64 values (ascending).

parallel_sph_density

Parallel SPH density computation.

parallel_stream_compaction

Parallel stream compaction via Rayon.

parallel_sum_count

Two-pass parallel reduction: compute both sum and count in one pass.

parallel_variance

Parallel variance (population variance).

parallel_verlet_step

Parallel velocity-Verlet position and velocity half-update.

segmented_exclusive_scan

Segmented prefix sum: performs exclusive scans within each segment.

segmented_reduce_max

Segmented reduction: maximum value within each segment.

segmented_reduce_min

Segmented reduction: minimum value within each segment.

segmented_reduce_sum

Segmented reduction: sum values within each segment independently.

stream_compaction

Stream compaction: retain only elements satisfying a predicate, returning a compacted output together with a scatter index map.

suggest_chunk_size

Suggest an optimal chunk size for n work items across num_workers workers, targeting at least min_chunks_per_worker chunks per worker.

work_steal_queue

Simulate a work-stealing dispatcher across num_workers queues.