Crate collenchyma_blas

Provides backend-agnostic BLAS operations for Collenchyma.

BLAS (Basic Linear Algebra Subprograms) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. They are the de facto standard low-level routines for linear algebra libraries; the routines have bindings for both C and Fortran. Although the BLAS specification is general, BLAS implementations are often optimized for speed on a particular machine, so using them can bring substantial performance benefits. BLAS implementations will take advantage of special floating point hardware such as vector registers or SIMD instructions.
Source

Overview

A Collenchyma Plugin describes the functionality through three types of traits.

• PluginTrait -> IBlas
  This trait provides 'provided methods', which already specify the exact, backend-agnostic behavior of an Operation. These come in two forms operation() and operation_plain(), where the first takes care of full memory management and the later one just provides the computation without any memory management. In some scenarios you would like to use the plain operation for faster exection.

• BinaryTrait -> IBlasBinary
  The binary trait provides the actual and potentially initialized Functions, which are able to compute the Operations (as they implement the OperationTrait).

• OperationTrait -> e.g. IOperationDot
  The PluginTrait can provide 'provided methods', thanks to the OperationTrait. The OperationTrait, has one required method compute which every Framework Function will implement on it's own way.

Beside these traits a Collenchyma Plugin might also use macros for faster implementation for various Collenchyma Frameworks such as CUDA, OpenCL or common host CPU.

Beside these generic functionality through traits, a Plugin also extends the Collenchyma Backend with implementations of the generic functionality for the Collenchyma Frameworks.

For more information, give the Collenchyma docs a visit.

Modules

binary	Provides the IBlasBinary binary trait for Collenchyma's Framework implementation.
frameworks	Provides the specific Framework implementations for the Library Operations.
helper	Provides macros for convenient implementation of BLAS operations.
operation	Provides the IOperationX operation traits for Collenchyma's Framework implementation.
plugin	Provides the IBlas library trait for Collenchyma implementation.
transpose	Provides the Transpose functionality for Matrix operations.

Macros

iblas_asum_for!
iblas_axpy_for!
iblas_copy_for!
iblas_dot_for!
iblas_gemm_for!
iblas_nrm2_for!
iblas_scale_for!
iblas_swap_for!