VisuAlgo was conceptualised in 2011 by Associate Professor Steven Halim (NUS School of Computing) as a tool to help his students better understand data structures and algorithms, by allowing them to learn the basics on their own and at their own pace. Together with his students from the National University of Singapore, a series of visualizations were developed and consolidated, from simple sorting algorithms to complex graph data structures. Though specifically designed for the use of NUS students taking various data structure and algorithm classes (CS1010/equivalent, CS2040/equivalent (inclusive of IT5003)), CS3230, CS3233, and CS4234), as advocators of online learning, we hope that curious minds around the world will find these visualizations useful as well.

Open source resource for learning algorithms and their implementation in any programming language

ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the “best” options for compiling programs with the GNU Compiler Collection (GCC) C and C++ compilers. “Best”, in this context, is defined as those options that produce the fastest executable program from a given source code. Acovea is a C++ framework that can be extended to test other programming languages and non-GCC compilers.