Enhance GPU Hash Table with Dual-Key Support #10
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This update extends the existing GPU hash table implementation to support dual keys, enabling the storage and retrieval of pairs with two keys and their respective values. This enhancement significantly increases the data structure's flexibility and applicability in scenarios requiring complex key relationships.
Technical Improvements:
- Dual-Key Support: Expanded the hash table's ability to store pairs with two keys, facilitating complex & sophisticated data-structures like graph edges.
- 64-bit MurmurHash2 Algorithm: Adapted the MurmurHash2 hashing algorithm to efficiently manage and resolve dual-key entries.
- CUDA_CHECKER Utility: Implements checks for CUDA operations like memory allocation and data transfer, enhancing error handling and debugging.