FMA3

E648231

FMA3 is an x86 instruction set extension that provides fused multiply-add operations to improve floating-point performance and efficiency in modern processors.

All labels observed (1)

Label Occurrences
FMA3 canonical 3

How this entity was disambiguated

Statements (46)

Predicate Object
instanceOf fused multiply-add instruction set ⓘ
x86 instruction set extension ⓘ
architecture x86 ⓘ
benefits digital signal processing workloads ⓘ
graphics and multimedia workloads ⓘ
machine learning workloads ⓘ
scientific computing workloads ⓘ
category SIMD floating-point extension ⓘ
compatibleWith AVX ⓘ
AVX2 ⓘ
cpuidLeaf EAX=1 ⓘ
cpuidRegisterBit ECX bit 12 ⓘ
dataType double-precision floating-point ⓘ
single-precision floating-point ⓘ
design 3-operand non-destructive form ⓘ
detectedBy CPUID instruction ⓘ
differsFrom FMA4 by using 3-operand encoding instead of 4-operand ⓘ
effectOnPower can improve energy efficiency per floating-point operation ⓘ
enables higher throughput fused multiply-add pipelines ⓘ
featureFlag FMA ⓘ
firstSupportedBy AMD Piledriver microarchitecture ⓘ
linked to: AMD Bulldozer

Intel Haswell microarchitecture ⓘ
Intel Xeon E5 v3 series ⓘ
linked to: Intel Xeon
fullName Fused Multiply-Add 3-operand ⓘ
improves floating-point efficiency ⓘ
floating-point performance ⓘ
introducedBy Intel ⓘ
linked to: Intel Corporation
operationCount 3-operand form ⓘ
4-operand effective computation (one destination, two sources, one addend) ⓘ
optimizationTarget compiler auto-vectorization ⓘ
hand-tuned assembly code ⓘ
primaryOperation fused multiply-add ⓘ
fused multiply-subtract ⓘ
reduces instruction count for multiply-add sequences ⓘ
rounding errors compared to separate multiply and add ⓘ
registerType XMM registers ⓘ
YMM registers ⓘ
relatedTo FMA4 ⓘ
requires support in both CPU and software toolchain ⓘ
roundingBehavior single rounding for multiply-add sequence ⓘ
standardizedIn Intel 64 and IA-32 Architectures Software Developer’s Manual ⓘ
status widely supported in modern x86-64 processors ⓘ
usedIn high-performance computing applications ⓘ
optimized math libraries ⓘ
vectorized numerical kernels ⓘ
usesEncoding VEX prefix ⓘ

How these facts were elicited

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.