Enum DataDistribution 

pub enum DataDistribution {
    Kpoint,
    Gvector,
    Mixed,
    Default,
}

This keyword determines the parallelization strategy used. Available options are: Kpoint - only k-point parallelization will be used (best scalability) Gvector - only g-vector parallelization will be used (worst scalability) Mixed - a combination of k-point and g-vector parallelization will be used Default - the optimal parallelization strategy for the architecture will be used The Default setting is appropriate in most situations. The Kpoint option is available only when the number of processors is a factor of the number of k-points. The Gvector option is appropriate for calculations involving large systems where often only one k-point is used. The Mixed option is available when the number of processors and the number of k-points have a common factor (for example 6 k-points and 4 processors). The differences in the scaling properties of the different schemes dictate the number of processors that should be used. For example, a calculation that uses 16 k-points is likely to finish faster on 4 processors (using Kpoint distribution) than on 6 processors (using Mixed distribution) and most likely faster than on 9 processors (using Gvector distribution).

Default

Default

Example

DATA_DISTRIBUTION : Gvector

Variants

Kpoint

Gvector

Mixed

Default

Trait Implementations

impl Clone for DataDistribution

fn clone(&self) -> DataDistribution

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DataDistribution

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DataDistribution

fn default() -> DataDistribution

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataDistribution

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for DataDistribution

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Hash for DataDistribution

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl KeywordDisplay for DataDistribution

fn field(&self) -> String

fn output(&self) -> String

impl Ord for DataDistribution

fn cmp(&self, other: &DataDistribution) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for DataDistribution

fn eq(&self, other: &DataDistribution) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl PartialOrd for DataDistribution

fn partial_cmp(&self, other: &DataDistribution) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

fn lt(&self, other: &Rhs) -> bool

Tests less than (for self and other) and is used by the < operator.

fn le(&self, other: &Rhs) -> bool

Tests less than or equal to (for self and other) and is used by the <= operator.

fn gt(&self, other: &Rhs) -> bool

Tests greater than (for self and other) and is used by the > operator.

fn ge(&self, other: &Rhs) -> bool

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Serialize for DataDistribution

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for DataDistribution

impl Eq for DataDistribution

impl StructuralPartialEq for DataDistribution