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SimpleComputeShaderHashTable

About This Project

This project is a Unity Compute Shader implementation of a simple GPU hash table written by David Farell which in turn is based on Cliff Click's hash table. It uses the MurmurHash3 function by Austin Appleby. All of the above works are in the public domain, and free to use, as is this project.

This code implements a lock free hash table using linear probing, and achieves thread safety using an atomic function, InterlockedCompareExchange(), to insert key/values into the table. Because it uses linear probing, the table is cache-effecient, but performance quickly degrades as the load factor increases.

Important notes

• The table uses 32bit keys and 32bit values.
• Because we use bitwise AND to cycle through the table when probing, the size of the table must be a power of 2.
• It reserves 0xffffffff as an empty sentinel value for both keys and values.
• I have not included a resizing function, but it would operate exactly like you would expect. A general outline would be something like: cycle through the values of the hashbuffer, and then rehash any non-empty value into the new table.

To use this project

To use this project, simply add Hash.compute and Test.cs to an existing Unity project, attach Test.cs to a gameobject in the editor, and attach Hash.compute to Test.cs.

• If you want to verify that the HashTable is working properly, tick Validation on the gameobject.
• If you want to get a text output if there are validation errors, tick Validation Text though be careful because this will cause a lot of lag on large inputs (1 mil +).
• If you want to test the speed of the HashTable, untick Validation. The validation and speed testing is mutually exclusive in this demo.
• These scripts were written in a Unity project version 2021.1.5f1, but can probably be used in older versions so long as it supports compute shaders.

To Learn More

If you want learn more about this hash table and how it was designed I would highly encourage reading David Farell's blog post. If you want to learn more about GPU powered hash tables in general see this scholarly article WarpCore: A Library for fast Hash Tables on GPUs.