EH21 - Textverarbeitung mit SIMD-Techniken

SIMD (Single Instruction Multiple Data) techniques are used for efficient text processing and string operations

Modern CPUs have special registers (like Zimdi) that can process multiple bytes (16 bytes) at once

String operations include length calculation, comparison, copying, and searching for specific patterns

Using SIMD/vector operations allows performing operations on multiple elements simultaneously, improving performance

Common string processing tasks involve working with null-terminated strings and Pascal strings

Memory alignment and padding are important considerations when using SIMD operations

CPU architectures like ARM, PowerPC, and x86 have their own SIMD instruction sets (NEON, AltiVec, SSE/AVX)

SIMD operations can handle arithmetic, logic, and string manipulation on multiple data elements in parallel

Proper algorithm design is crucial for taking advantage of SIMD capabilities

Memory access patterns and data structure layout affect SIMD performance optimization