Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architecture
|
| gptkbp:benefits |
Reduces rounding errors
|
| gptkbp:can_be_used_in |
Digital signal processing
Machine learning algorithms |
| gptkbp:description |
Fused Multiply-Add operation
|
| gptkbp:enhances |
Performance of numerical algorithms
|
| gptkbp:function |
Computes a * b + c in one step
|
| https://www.w3.org/2000/01/rdf-schema#label |
FMA
|
| gptkbp:improves |
Floating-point arithmetic efficiency
|
| gptkbp:introduced_in |
IEEE 754-2008 standard
|
| gptkbp:is_common_in |
Control systems
Time series analysis Computer simulations Game development Financial modeling Optimization problems Financial applications Geospatial analysis Machine learning models Weather modeling Signal filtering Deep learning frameworks Scientific applications Physics simulations Neural network training Robotics applications Signal processing applications Engineering simulations Machine vision systems Image processing tasks Computer graphics rendering Data analysis tasks Artificial intelligence computations Cryptography algorithms Statistical computations |
| gptkbp:is_implemented_in |
Assembly language
High-level programming languages |
| gptkbp:is_optimized_for |
Scientific computing
Matrix multiplication |
| gptkbp:is_part_of |
gptkb:architecture
Parallel computing Vector processing |
| gptkbp:is_related_to |
Arithmetic operations
Floating-point operations |
| gptkbp:is_supported_by |
gptkb:Intel_processors
gptkb:AMD_processors gptkb:ARM_processors GPUs Modern CPUs |
| gptkbp:is_used_in |
Machine learning frameworks
Graphics processing |
| gptkbp:used_in |
High-performance computing
|
| gptkbp:bfsParent |
gptkb:streaming_service
gptkb:Intel |
| gptkbp:bfsLayer |
4
|