Intel Advanced Vector Extensions 512
GPTKB entity
Statements (101)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architecture
|
| gptkbp:can_be_used_in |
scientific computing
|
| gptkbp:developed_by |
gptkb:Intel_Corporation
|
| gptkbp:enables |
better utilization of CPU resources
better performance in AI workloads |
| gptkbp:enhances |
data parallelism
cryptography performance |
| gptkbp:facilitates |
image processing
|
| https://www.w3.org/2000/01/rdf-schema#label |
Intel Advanced Vector Extensions 512
|
| gptkbp:improves |
performance of floating-point calculations
|
| gptkbp:includes |
new data types
new instructions |
| gptkbp:introduced_in |
gptkb:Skylake_microarchitecture
gptkb:Intel_Xeon_Phi_5120_D |
| gptkbp:is_adopted_by |
gptkb:developers
gaming applications cloud computing platforms data analytics platforms |
| gptkbp:is_available_in |
gptkb:Intel_Cascade_Lake_processors
gptkb:Intel_Cooper_Lake_processors gptkb:Intel_Ice_Lake_processors gptkb:Intel_Sapphire_Rapids_processors |
| gptkbp:is_beneficial_for |
parallel processing
real-time applications real-time data analysis signal processing data compression high-frequency trading high-performance graphics machine vision |
| gptkbp:is_compatible_with |
gptkb:Intel_processors
gptkb:Linux_operating_system gptkb:operating_system gptkb:x86_architecture embedded systems virtualization technologies mac OS operating system |
| gptkbp:is_designed_for |
parallel processing
high throughput computing |
| gptkbp:is_implemented_in |
gptkb:Intel_processors
gptkb:Intel_Coffee_Lake_architecture Intel Alder Lake architecture Intel Skylake architecture Intel Tiger Lake architecture |
| gptkbp:is_optimized_for |
gptkb:Artificial_Intelligence
real-time processing data-intensive applications vectorized code |
| gptkbp:is_part_of |
gptkb:Intel_architecture_family
gptkb:Intel_architecture gptkb:Intel_microarchitecture gptkb:x86_architecture gptkb:AVX_family gptkb:Intel's_software_development_kit Intel's architecture roadmap Intel's performance enhancement technologies Intel's performance optimization tools |
| gptkbp:is_related_to |
gptkb:AVX2
gptkb:machine_learning gptkb:AVX-256 SIMD (Single Instruction, Multiple Data) data science numerical methods |
| gptkbp:is_supported_by |
gptkb:Intel_compilers
gptkb:Intel_Xeon_processors gptkb:Intel_Core_processors performance analysis tools compilers AI frameworks various software frameworks Intel's software development kits |
| gptkbp:is_used_for |
gptkb:crypt
|
| gptkbp:is_used_in |
gptkb:simulation
image processing financial modeling high-performance computing scientific computing video processing signal processing big data analytics robotics applications 3 D rendering |
| gptkbp:is_utilized_in |
gptkb:cloud_computing
data visualization deep learning financial modeling gaming applications machine learning applications big data analytics cloud-based applications video encoding 3 D rendering |
| gptkbp:provides |
enhanced security features
new instructions for SIMD operations |
| gptkbp:released_in |
gptkb:2013
|
| gptkbp:supports |
512-bit vector operations
integer operations |
| gptkbp:bfsParent |
gptkb:Intel_UHD_Graphics_770
gptkb:Coffee_Lake_Refresh gptkb:Intel_Core_i9 |
| gptkbp:bfsLayer |
6
|