| AI Engine-ML v2 Intrinsics User Guide (v2026.1)

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Basic Types: Summary

Summary of the vector and accumulator registers.

Summary of the vector and accumulator registers.

The two main data types offered by the AIE cores are vector (Vector Data Types) and accumulator registers (Accumulator Data Types). There is also compiler support for some scalar data types (please refer to Scalar Data Types).

Vector data-types pack multiple scalar data elements into a wider vector. There are vector data-types with standard sized elements (4-bit, 8-bit, 16-bit, 32-bit). A summary of the scalar types and the number of lanes supported is described in the following table. Please refer to Vector Data Types for more details.

Scalar type | Vector lanes
--- | ---
int4/uint4 | 32/64/128/256
int8/uint8 | 16/32/64/128
int16/uint16 | 8/16/32/64
int32/uint32 | 4/8/16/32
cint16 | 4/8/16/32
cint32 | 2/4/8/16
cfloat | 2/4/8/16/32
bfloat8 | 8/16/32/64/128/256
bfloat16 | 8/16/32/64/128
float8 | 2/4/8/16/32/64/128/256
float16 | 2/4/8/16/32/64/128
float | 2/4/8/16/32/64
mx4 | 16/64/128/256
mx6 | 16/64/128/256
mx9 | 16/32/64/128/256
int4/uint4_sparse | 64/128
int8/uint8_sparse | 128/256
int16/uint16_sparse | 64/128
float8_sparse | 128/256
float16_sparse | 64/128
bfloat8_sparse | 128/256
bfloat16_sparse | 64/128

Accumulator data-types pack multiple scalar data elements into a wider vector. There are vector data-types with standard sized elements (32-bit, 64-bit). A summary of the scalar types and the number of lanes supported is described in the following table. Please refer to Accumulator Data Types for more details.

Scalar type | Accumulator lanes
--- | ---
acc32 | 8/16/32/64
acc64 | 4/8/16/32
cacc64 | 2/4/8/16
accfloat | 8/16/32/64
caccfloat | 4/8/16/32