API Reference

Here is a list of all modules:

[detail level 12]

▼Basic Types	The two main types offered by the AIE API are vectors (aie::vector) and accumulators (aie::accum)
Basic Type Initialization
Vector and Accumulator Conversions	Vectors can be reinterpreted as vectors with a different element type, as long as they have the same total size
Concepts for Basic Types
Accumulator Element Types	Accumulators in AIE API rely on the aie::accum class template
Lazy Operations	AIE architectures offer multiplication instructions that can perform additional operations on on the input arguments
Memory	Each AIE core has access to up to 4 Data Memories (DM)
Initialization	Operations to initialize vectors and accumulators
Arithmetic	AIE API provides a set of functions that implement arithmetic operations on vector types
Bits	Bitwise logical operations
Comparison	Vector comparison operations
Reduction	Vector reduction operations
Reshaping	AIE API provides operations to change the location of the elements within a vector and to combine the elements from two or more vectors
Floating-point Conversion
▼Elementary Functions
Floating-point Scalar Operations
Matrix Multiplication	The AIE API encapsulates the matrix multiplication functionality in the aie::mmul class template
Fast Fourier Transform (FFT)	The AIE API offers a stage-based interface for carrying out decimation-in-time FFTs
Special Multiplications	AIE provides hardware support to accelerate special multiplications that can be used to accelerate specific application use cases like (but not limited to) signal processing
Lookup Tables
Operator Overloading	The AIE API provides overloading for most of the available operators
Interoperability with Adaptive Data Flow (ADF) Graph Abstractions	ADF graphs use data flow abstractions to read input data and write output data