Fused Multiply-Add (FMA) instructions
GPTKB entity
Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architecture
|
| gptkbp:benefits |
reduces rounding errors
|
| gptkbp:enhances |
accuracy of calculations
|
| gptkbp:feature |
high-performance computing
RISC architectures |
| gptkbp:function |
computes a * b + c
|
| https://www.w3.org/2000/01/rdf-schema#label |
Fused Multiply-Add (FMA) instructions
|
| gptkbp:improves |
performance of numerical algorithms
|
| gptkbp:introduced_in |
IEEE 754-2008 standard
|
| gptkbp:is_a_key_component_of |
high-precision arithmetic
|
| gptkbp:is_a_key_operation_in |
convolutional neural networks
|
| gptkbp:is_available_in |
gptkb:CUDA
gptkb:Open_CL |
| gptkbp:is_beneficial_for |
data analysis
machine learning applications numerical stability |
| gptkbp:is_compared_to |
(a * b) + c
|
| gptkbp:is_essential_for |
real-time systems
deep learning frameworks |
| gptkbp:is_implemented_in |
gptkb:computer
GPU architectures FPGA (Field-Programmable Gate Array) |
| gptkbp:is_often_used_in |
digital signal processing
|
| gptkbp:is_optimized_for |
matrix multiplication
parallel processing |
| gptkbp:is_part_of |
numerical libraries
vector processing AI (Artificial Intelligence) computations DSP (Digital Signal Processing) chips SIMD (Single Instruction, Multiple Data) operations |
| gptkbp:is_relevant_to |
machine vision
cryptography algorithms |
| gptkbp:is_supported_by |
gptkb:x86_architecture
gptkb:ARM_architecture modern CPUs |
| gptkbp:is_used_in |
image processing
financial calculations graphics processing 3 D rendering robotics calculations statistical computations |
| gptkbp:is_utilized_in |
scientific computing
signal processing algorithms |
| gptkbp:reduces |
the number of operations required
|
| gptkbp:used_in |
floating-point arithmetic
|
| gptkbp:bfsParent |
gptkb:AVX2
|
| gptkbp:bfsLayer |
5
|