NEON SIMD
E198707
NEON SIMD is ARM's advanced Single Instruction, Multiple Data (SIMD) instruction set extension designed to accelerate multimedia, signal processing, and other parallelizable workloads on ARM processors.
All labels observed (6)
| Label | Occurrences |
|---|---|
| ARM NEON | 3 |
| NEON SIMD canonical | 2 |
| ARM NEON technology | 1 |
| Advanced SIMD | 1 |
| Advanced SIMD (NEON) | 1 |
| Advanced SIMD (Neon) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1775192 — 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: NEON SIMD Context triple: [Icestorm, supports, NEON SIMD]
-
A.
V (vector extension)
V (vector extension) is the RISC-V standard for scalable vector processing, enabling efficient parallel computation on variable-length data vectors.
-
B.
P (packed-SIMD extension)
P (packed-SIMD extension) is a RISC-V instruction set extension that adds packed single-instruction multiple-data operations to accelerate parallel data processing tasks such as signal processing and multimedia workloads.
-
C.
SSSE3
SSSE3 (Supplemental Streaming SIMD Extensions 3) is an Intel SIMD instruction set extension that enhances performance for multimedia, signal processing, and other parallelizable workloads.
-
D.
Intel AVX2
Intel AVX2 is an x86 instruction set extension from Intel that enhances performance for integer-heavy and vectorized workloads through wider SIMD operations and new vector instructions.
-
E.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: NEON SIMD Target entity description: NEON SIMD is ARM's advanced Single Instruction, Multiple Data (SIMD) instruction set extension designed to accelerate multimedia, signal processing, and other parallelizable workloads on ARM processors.
-
A.
V (vector extension)
V (vector extension) is the RISC-V standard for scalable vector processing, enabling efficient parallel computation on variable-length data vectors.
-
B.
P (packed-SIMD extension)
P (packed-SIMD extension) is a RISC-V instruction set extension that adds packed single-instruction multiple-data operations to accelerate parallel data processing tasks such as signal processing and multimedia workloads.
-
C.
SSSE3
SSSE3 (Supplemental Streaming SIMD Extensions 3) is an Intel SIMD instruction set extension that enhances performance for multimedia, signal processing, and other parallelizable workloads.
-
D.
Intel AVX2
Intel AVX2 is an x86 instruction set extension from Intel that enhances performance for integer-heavy and vectorized workloads through wider SIMD operations and new vector instructions.
-
E.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
ARM architecture extension
ⓘ
SIMD instruction set extension ⓘ vector instruction set ⓘ |
| alsoKnownAs |
NEON SIMD
ⓘ
surface form:
ARM NEON
NEON SIMD ⓘ
surface form:
Advanced SIMD
|
| architectureFamily | ARM ⓘ |
| availableIn |
many ARM Cortex-A processors
ⓘ
many ARM Cortex-R processors ⓘ some ARM Cortex-M processors ⓘ |
| benefit |
higher throughput for parallelizable loops
ⓘ
reduced instruction count for vector operations ⓘ |
| design | fixed-length SIMD ⓘ |
| developer | Arm Ltd. ⓘ |
| distinctFrom |
ARM SVE
ⓘ
ARM SVE ⓘ
surface form:
ARM SVE2
Intel AVX ⓘ
surface form:
x86 AVX
Intel SSE ⓘ
surface form:
x86 SSE
|
| feature |
horizontal add and accumulate operations
ⓘ
lane-wise operations ⓘ multiply-accumulate instructions ⓘ packed arithmetic operations ⓘ saturating arithmetic ⓘ shuffle and permute operations ⓘ vector load and store instructions ⓘ |
| integratedWith | ARM floating-point unit in many cores ⓘ |
| purpose |
accelerate data-parallel workloads
ⓘ
accelerate multimedia workloads ⓘ accelerate signal processing workloads ⓘ improve performance per watt for vectorizable code ⓘ |
| registerWidth |
128-bit
ⓘ
64-bit ⓘ |
| supportsDataTypes |
16-bit integer
ⓘ
32-bit integer ⓘ 64-bit integer ⓘ 8-bit integer ⓘ single-precision floating point ⓘ |
| targetArchitecture |
ARMv7-A architecture
ⓘ
surface form:
ARMv7-A
ARM Cortex-R series ⓘ
surface form:
ARMv7-R
ARMv8-A ⓘ ARMv8.1-M ⓘ ARMv8.2-M ⓘ ARMv9-A ⓘ |
| useCase |
3D graphics workloads
ⓘ
audio processing ⓘ cryptographic primitives ⓘ digital signal processing ⓘ image processing ⓘ machine learning inference kernels ⓘ video processing ⓘ |
| vectorLength |
128-bit vector
ⓘ
64-bit vector ⓘ |
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: NEON SIMD Description of subject: NEON SIMD is ARM's advanced Single Instruction, Multiple Data (SIMD) instruction set extension designed to accelerate multimedia, signal processing, and other parallelizable workloads on ARM processors.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.