Class MultiThread

Namespace

NumSharp.Backends

Assembly

NumSharp.dll

Global configuration for NumSharp's multithreaded kernels.

Currently governs the fused 1-D dot product (numpy.dot vector·vector) for contiguous float / double inputs; other kernels remain single-threaded. Disabled by default — enable via multithreading(bool, int) so existing behavior (and bit-for-bit summation order) is unchanged unless the caller opts in.

Parallelism is gated on work size: tiny and medium reductions stay on one thread because thread fan-out (a few microseconds) would dominate. Only when there is enough work to amortize that cost are chunks dispatched across cores.

public static class MultiThread

Inheritance

object

MultiThread

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

Enabled

Whether parallel kernels may use more than one thread. Default: false.

public static bool Enabled { get; set; }

Property Value

bool

MaxThreads

Upper bound on worker threads, clamped to at least 1. The effective count is additionally capped by ProcessorCount and by the available work. Default: 8.

public static int MaxThreads { get; set; }

Property Value

int

Methods

DegreeOfParallelism(long)

Effective number of threads for a contiguous element-wise reduction over n elements. Returns 1 when multithreading is disabled or the work is too small for parallelism to pay off; otherwise min(MaxThreads, ProcessorCount, n / MinWorkPerThread).

public static int DegreeOfParallelism(long n)

Parameters

n long

Returns

int