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gptkbp:instance_of
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gptkb:liquid
|
|
gptkbp:architecture
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gptkb:ARM_architecture
|
|
gptkbp:designed_by
|
gptkb:ARM
|
|
gptkbp:enables
|
digital signal processing
scientific calculations
efficient graphics processing
|
|
gptkbp:enhances
|
performance of mathematical computations
|
|
gptkbp:features
|
support for SIMD operations
|
|
gptkbp:has
|
32 registers
support for exceptions
support for denormal numbers
support for fused multiply-add operations
support for rounding modes
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
VFPv3 floating-point unit
|
|
gptkbp:introduced_in
|
gptkb:ARMv7_architecture
|
|
gptkbp:is_compatible_with
|
gptkb:ARMv6_architecture
gptkb:ARMv7_architecture
|
|
gptkbp:is_integrated_with
|
gptkb:Cortex-A_series_processors
gptkb:Cortex-M_series_processors
gptkb:Cortex-R_series_processors
|
|
gptkbp:is_part_of
|
System on Chip (So C) designs
|
|
gptkbp:is_used_in
|
Android devices
i OS devices
|
|
gptkbp:operates
|
gptkb:IEEE_754_standard
|
|
gptkbp:provides
|
low power consumption
hardware acceleration for floating-point operations
high throughput for floating-point calculations
|
|
gptkbp:replaced_by
|
Neon technology
|
|
gptkbp:successor
|
VFPv4
|
|
gptkbp:supports
|
matrix operations
vector operations
double-precision floating-point
single-precision floating-point
|
|
gptkbp:used_in
|
gptkb:smartphone
embedded systems
tablets
|
|
gptkbp:works_with
|
gptkb:ARM_Cortex-A9
gptkb:ARM_Cortex-A15
gptkb:ARM_Cortex-R4
gptkb:ARM_Cortex-M4
gptkb:ARM_Cortex-A8
|
|
gptkbp:bfsParent
|
gptkb:ARMv7
|
|
gptkbp:bfsLayer
|
6
|