•        0

HashMap Implementation. Nothing special




comments powered by Disqus

Related Projects

Koloboke - Java Collections till the last breadcrumb of memory and performance

Koloboke aims to replace the standard Java collections and streams with more efficient implementations. The current version of Koloboke focuses on replacing java.util.HashSet and java.util.HashMap. It provides a complete set of primitive type implementations for each collection. Its able to avoid the expensive boxing/unboxing of primitives and saves memory for boxed primitive objects. It is the fastest and the most memory efficient library implementing hash maps and sets.

gs-collections - A supplement or replacement for the Java Collections Framework

GS Collections is a collections framework for Java. It has JDK-compatible List, Set and Map implementations with a rich API and set of utility classes that work with any JDK compatible Collections, Arrays, Maps or Strings. The iteration protocol was inspired by the Smalltalk collection framework. It provides replacements for ArrayList, HashSet, and HashMap optimized for performance and memory usage.


A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.

HPPC - High Performance Primitive Collections for Java

HPPC provides template-generated implementations of typical collections, such as lists, sets and maps, for all Java primitive types. The primary driving force behind HPPC is optimization for highest performance and memory efficiency.


An extremely memory-efficient hash_map implementation. 2 bits/entry overhead! The SparseHash library contains several hash-map implementations, including implementations that optimize for space or speed.


Phrame is a web development platform for PHP based on the design of Jakarta Struts. Phrame provides your basic Model-View-Controller architecture, and also takes a step further adding standard components such as: HashMap, ArrayList, Stack, etc...

Py-judy - Python wrappers for Judy Arrays

Memory efficient implementations of: integer -> PyObject mappings integer sets