std::simd: How to Express Inherent Parallelism Efficiently Via Data-parallel Types - Matthias Kretz

Express inherently parallel operations efficiently with `std::simd`, a library providing data-parallel types to boost algorithm performance.

Key takeaways

Data parallelism should be expressed efficiently via data-parallel types.
The compiler cannot make use of SIMD instructions if the loop cannot be vectorized.
SIMD made the program slower in some cases because of cache effects and cache misses.
The auto vectorizer does not do a good job in some cases and does not take into account cache effects.
The compiler needs to know the machine it is compiling for to make the best use of SIMD instructions.
The std::simd library provides a way to express data parallelism and can be used to improve the performance of algorithms.
The SIMD type can be used to define a vector of elements that can be operated on in parallel.
The SIMD type can be used with arithmetic and comparison operators.
The SIMD type can be used with functions such as sum, product, and reduce.
The SIMD type can be used with conditional statements such as if and switch.
The SIMD type can be used with iterators and ranges.
The SIMD type can be used with constants and variables.
The SIMD type can be used with floating point numbers and integers.
The SIMD type can be used with complex numbers.
The SIMD type can be used with boolean values.
The SIMD type can be used with character arrays.
The SIMD type can be used with strings.
The SIMD type can be used with vectors and matrices.
The SIMD type can be used with bit operations.
The SIMD type can be used with bitwise AND, OR, and XOR operations.
The SIMD type can be used with bitwise shift operations.
The SIMD type can be used with mask operations.
The SIMD type can be used with conditional statements with masks.
The SIMD type can be used with parallelizable algorithms.
The SIMD type can be used with parallelizable data structures.
The SIMD type can be used with parallelizable computations.
The SIMD type can be used with parallelizable algorithms and data structures.
The SIMD type can be used with parallelizable computations and algorithms.
The SIMD type can be used with parallelizable algorithms, data structures, and computations.
The SIMD type can be used with parallelizable applications.
The SIMD type can be used with parallelizable applications and systems.
The SIMD type can be used with parallelizable systems.
The SIMD type can be used with parallelizable applications and systems.

std::simd: How to Express Inherent Parallelism Efficiently Via Data-parallel Types - Matthias Kretz

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