Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

Parallel sorting algorithm optimization represents a critical area of research aimed at accelerating the arrangement of large data sets by exploiting modern multi-core and many-core architectures. By ...

Abstract: Traditional merge sort algorithms exhibit performance limitations on contemporary hardware architectures due to significant memory overhead and suboptimal use of parallel computing ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

If you are just joining or still wrapping your head around time complexity, start with my first post on Big-O Notation. It explains how we think about performance and why it matters when writing ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Efficient algorithms can enhance problem-solving in many cognitive domains but can be difficult to discover and use. For example, classical studies of seriation suggest that children struggle to apply ...

Radix sort is the best known sorting algorithm for large data sets even though it dates back to the 1940s for sorting punch cards. It archives its speed by minimizing the number of operation... Read ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

The k-generalized Fibonacci numbers are defined as in [1]. A polyphase merge (merging an equal number of sequences from k tapes onto a single unused tape) using k+1 tapes is defined in terms of linear ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...