Here is a list of all topics with brief descriptions:

[detail level 123]

▼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 and accumulators of any given element type and size can be reinterpreted as a different element type
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
Configuration	Certain aspects of AI Engine behavior can be configured at runtime
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)
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
▼Uility functions and classes
Architecture helpers
Print functions	These functions provide an abstraction on top of printf that allow users to display the contents of AIE types in the standard output
▼Loop functions
Loop unrolling	These functions allow users to explicitly unroll the body of a loop
Loop pipelining	These functions provide the ability to finely control the pipelining of a loop
▼Non-portable optimizations	These functions provide non-portable or semi-portable functionality that can be used to apply low level optimizations
Register pinning	These functions provide a semi-portable interface to pin variables, such as vectors, accumulators, masks, and pointers, to a given register/set of registers