With the advent of multi-core architectures, it is becoming increasingly important to build scalable data structures that support the basic operations (insert, search) without taking coarse grained locks. Coarse grained locks are usually taken on the entire data structure and prevent any other concurrent thread(s) from operating even on other disjoint/orthogonal parts of the data... Continue Reading →

# Use of Associativity in Hashing

In this short post, I will talk about the concept of Associativity in Hashing. This is a fairly well known method so the article might be an old hat for some readers. When implementing a collision resolution strategy for our hash table design, there are usually two directions that we take: Chaining - There is... Continue Reading →

# Extendible Hashing

In the previous post, I had given a brief description of Linear Hashing technique. In this post, I will talk about Extendible Hashing. Like Linear Hashing, Extendible Hashing is also a dynamic hashing scheme. First let's talk a little bit about static and dynamic hashing as I had skipped this part in my previous post.... Continue Reading →

# Linear Hashing

In this blog post, I will give an introduction to a hashing methodology called Linear Hashing. Hash Table Detour A hash table is a well known in-memory structure that supports key-value access with lookup cost being amortized O(1). The hash table is just an array, and each location/index in the array stores a <KEY,VALUE> item.... Continue Reading →

# Fenwick Trees

In this post I will talk about Fenwick Trees aka Binary Indexed Trees. I got to use them recently while solving a problem in a coding challenge. Problem: Let's say we have an array of N positive integers. We need to be able to serve the following two operations efficiently: GetPrefixSum(i) - Gets the cumulative... Continue Reading →