Intel Advanced Vector Extensions
GPTKB entity
Properties (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:microprocessor
|
| gptkbp:developedBy |
gptkb:Intel_Corporation
|
| gptkbp:enables |
Faster data processing
|
| gptkbp:enhances |
Vector processing
Floating-point operations |
| gptkbp:firstIntroduced |
2011
|
| gptkbp:hasRelatedPatent |
256-bit wide vectors
|
| https://www.w3.org/2000/01/rdf-schema#label |
Intel Advanced Vector Extensions
|
| gptkbp:includesProvisionsFor |
SIMD operations
|
| gptkbp:isCompatibleWith |
SSE_and_AVX_instructions
|
| gptkbp:isLocatedIn |
gptkb:Intel_Xeon_processors
gptkb:Intel_Core_processors gptkb:Intel_Atom_processors |
| gptkbp:isOptimizedFor |
Artificial intelligence
Cryptography Data analytics Multimedia applications |
| gptkbp:isPartOf |
gptkb:Intel_64_architecture
x86 architecture |
| gptkbp:isRelatedTo |
Vectorization
AVX-512 AVX2 Performance optimization System architecture Performance benchmarks Application performance Software development tools Data throughput Latency reduction High bandwidth memory SIMD Instruction-level parallelism Microarchitecture improvements Compiler optimizations Memory access patterns Instruction scheduling Throughput computing Parallel_computing Hardware_acceleration Cache_optimization |
| gptkbp:isSupportedBy |
gptkb:GCC
gptkb:Intel_C++_Compiler gptkb:Microsoft_Visual_Studio Various compilers |
| gptkbp:isUsedIn |
Deep learning
Image processing Signal processing High-performance computing Scientific computing Video processing Financial modeling Machine learning applications Graphics processing Gaming applications |
| gptkbp:providesSupportFor |
Parallel processing
|
| gptkbp:usedIn |
gptkb:Intel_processors
|