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ViennaCL - The Vienna Computing Library
1.5.1
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Provides the datastructures for dealing with a single statement such as 'x = y + z;'. More...
Go to the source code of this file.
Data Structures | |
| class | statement_not_supported_exception |
| Exception for the case the scheduler is unable to deal with the operation. More... | |
| struct | op_type_info< T > |
| Helper metafunction for obtaining the operation ID as well as the operation family for unary and binary operations on vectors and matrices. More... | |
| struct | numeric_type_id< T > |
| Helper metafunction for obtaining the runtime type ID for a numerical type. More... | |
| struct | layout_type_id< F > |
| Helper metafunction for obtaining the memory layout (row-/column-major) for a matrix. More... | |
| struct | lhs_rhs_element |
| A class representing the 'data' for the LHS or RHS operand of the respective node. More... | |
| struct | op_element |
| Struct for holding the type family as well as the type of an operation (could be addition, subtraction, norm, etc.) More... | |
| struct | statement_node |
| Main datastructure for an node in the statement tree. More... | |
| struct | num_nodes< T > |
| Helper metafunction for obtaining the number of nodes of an expression template tree. More... | |
| class | statement |
| The main class for representing a statement such as x = inner_prod(y,z); at runtime. More... | |
Namespaces | |
| viennacl | |
| Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them. | |
| viennacl::scheduler | |
| Contains the scheduling functionality which allows for dynamic kernel generation as well as the fusion of multiple statements into a single kernel. | |
| viennacl::scheduler::result_of | |
| Helper metafunctions used for the scheduler. | |
| viennacl::scheduler::detail | |
| Implementation details for the scheduler. | |
Functions | |
| void | execute_composite (statement const &s, statement_node const &root_node) |
| Deals with x = RHS where RHS is an expression and x is either a scalar, a vector, or a matrix. More... | |
Provides the datastructures for dealing with a single statement such as 'x = y + z;'.
1.8.6