VFP floating-point extension
E72125
The VFP floating-point extension is an ARM architecture coprocessor feature that provides hardware support for high-performance single- and double-precision floating-point arithmetic.
All labels observed (9)
| Label | Occurrences |
|---|---|
| VFP | 1 |
| VFP floating-point extension canonical | 1 |
| VFPv1 | 1 |
| VFPv2 | 1 |
| VFPv3 | 1 |
| VFPv3-D16 | 1 |
| VFPv4 | 1 |
| VFPv4-D16 | 1 |
| Vector Floating Point | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T576663 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: VFP floating-point extension Context triple: [ARM, hasExtension, VFP floating-point extension]
-
A.
IEEE 754 floating‑point arithmetic standard
The IEEE 754 floating‑point arithmetic standard is the globally adopted specification that defines formats and rules for representing and performing binary and decimal floating‑point calculations in computer systems.
-
B.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
-
C.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
-
D.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
E.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: VFP floating-point extension Target entity description: The VFP floating-point extension is an ARM architecture coprocessor feature that provides hardware support for high-performance single- and double-precision floating-point arithmetic.
-
A.
IEEE 754 floating‑point arithmetic standard
The IEEE 754 floating‑point arithmetic standard is the globally adopted specification that defines formats and rules for representing and performing binary and decimal floating‑point calculations in computer systems.
-
B.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
-
C.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
-
D.
VFAT
VFAT is a Linux-compatible variant of the FAT file system that adds support for long filenames and improved interoperability with Windows systems.
-
E.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
ARM architecture extension
ⓘ
coprocessor feature ⓘ floating-point unit ⓘ |
| alsoKnownAs |
VFP floating-point extension
ⓘ
surface form:
VFP
VFP floating-point extension ⓘ
surface form:
Vector Floating Point
|
| architectureFamily | ARM architecture ⓘ |
| category |
ARM microarchitecture feature
ⓘ
floating-point arithmetic hardware ⓘ |
| conformsTo |
IEEE 754 floating‑point arithmetic standard
ⓘ
surface form:
IEEE 754 floating-point standard
|
| designedFor | high-performance floating-point computation ⓘ |
| developedBy |
Arm Ltd.
ⓘ
surface form:
ARM Limited
|
| hasVersion |
VFP floating-point extension
self-linksurface differs
ⓘ
surface form:
VFPv1
VFP floating-point extension self-linksurface differs ⓘ
surface form:
VFPv2
VFP floating-point extension self-linksurface differs ⓘ
surface form:
VFPv3
VFP floating-point extension self-linksurface differs ⓘ
surface form:
VFPv3-D16
VFP floating-point extension self-linksurface differs ⓘ
surface form:
VFPv4
VFP floating-point extension self-linksurface differs ⓘ
surface form:
VFPv4-D16
|
| implements |
floating-point instructions
ⓘ
floating-point registers ⓘ |
| improves | floating-point performance compared to software emulation ⓘ |
| integratedWith |
ARM
ⓘ
surface form:
ARM CPU core
|
| provides | hardware floating-point support ⓘ |
| purpose | accelerate numerical and signal processing workloads ⓘ |
| relatedTo |
NEON SIMD
ⓘ
surface form:
ARM NEON technology
ARM ⓘ
surface form:
ARM coprocessor interface
|
| supports |
double-precision floating-point arithmetic
ⓘ
floating-point addition ⓘ floating-point comparisons ⓘ floating-point conversions between integer and floating-point ⓘ floating-point division ⓘ floating-point exception flags ⓘ floating-point multiplication ⓘ floating-point square root ⓘ floating-point subtraction ⓘ rounding modes ⓘ scalar floating-point operations ⓘ single-precision floating-point arithmetic ⓘ |
| targetPlatform |
32-bit ARM processors
ⓘ
ARMv5 architecture ⓘ ARMv6 architecture family ⓘ
surface form:
ARMv6 architecture
ARMv7-A architecture ⓘ ARM Cortex-R series ⓘ
surface form:
ARMv7-R architecture
|
| usedBy |
Android devices based on ARM
ⓘ
operating systems on ARM such as Linux ⓘ |
| usedIn |
consumer electronics
ⓘ
embedded systems ⓘ mobile devices ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: VFP floating-point extension Description of subject: The VFP floating-point extension is an ARM architecture coprocessor feature that provides hardware support for high-performance single- and double-precision floating-point arithmetic.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.