Implementing and Improving Skiplists
Matt Hall discusses skiplists as an alternative to balanced binary trees, focusing on implementation and improvement. Skiplists offer efficiency in data insertion and retrieval but face challenges in optimizing cache utilization with proposed solutions showing mixed performance results.
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Matt Hall discusses the implementation and improvement of skiplists as an alternative to balanced binary trees like Red-Black or AVL trees. Skiplists are easier to implement and offer similar properties. They are commonly used in Log Structured Merge trees for efficient data insertion and retrieval. Skiplists consist of linked lists at different levels, allowing for faster searches akin to binary search trees. The insertion process involves descending the structure to find the appropriate position and then ascending to insert the new value. Performance testing shows that most of the time is spent in the descend function, indicating potential cache inefficiency. A proposed improvement involves using dynamic arrays instead of pointers for better cache utilization. However, initial tests show a performance decrease, highlighting the complexity of optimizing data structures for efficiency. Further investigation is needed to understand the unexpected results.
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