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Vectorized

Caden Parker

High-Performance Programming, GPU Parallelism, and Emergent Computation

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PricingOnly free issuesPublishesInfrequently
Issues6Founded3 years agoLast Issuea month ago
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Latest Issues

Pointer-stable Dynamic Arrays

Dynamic arrays, as traditionally taught in computer science, reallocate memory when new elements are appended to the end. This has some undesirable effects when doing systems-level programming:

  1. The performance of the append operation...
a month ago
13
2

Parallelizing Cellular Automata with WebGPU Compute Shaders

A simple set of rules can generate complex, emergent behavior. This is the essence of cellular automata, formalized by John von Neumann in 1948 and popularized by John Conway’s Game of Life in 1970.

SmoothLife, a continuous cellular automa...

8 months ago
9
4

Procedural Generation with Wave Function Collapse

Wave Function Collapse (WFC) is an algorithm that has become increasingly popular for procedural generation. WFC sounds like an algorithm related to quantum mechanics, but its magic lies in something more practical: constraint solving.

Wha...

8 months ago
35
4

Pointer Tagging in C++: The Art of Packing Bits Into a Pointer

A 64-bit pointer can address over 18 exabytes (18 billion gigabytes) of memory, which far exceeds the needs of even the most top-end supercomputers1. For this reason, most modern desktop CPUs only use 48 bits for virtual addresses2, leaving...

9 months ago
45

Building a Fast, SIMD/GPU-friendly Random Number Generator For Fun And Profit

When writing shaders, SIMD code, or GPU kernels, one typically doesn’t need a cryptographically secure random number generator — something fast and statistically decent is often good enough.

In these contexts, an RNG algorithm should:

*...

a year ago
18
7

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