The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has systematically reviewed the latest advances in emerging memristors for in-memory ...

GridGain’s in-memory MapReduce effectively parallelizes the processing of in-memory data stored in GGFS. It eliminates the overhead associated with job tracker and task trackers in a standard Hadoop ...

Technion Researchers have developed a software package that enables computers to perform processing operations directly in memory, bypassing the CPU. This is a significant step toward developing ...

This means IMDBs are unable to scale horizontally and as a result, most existing SQL databases (disk or memory based) are based on vertically scalable Symmetrical Processing architecture. But with ...

A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of everything from searches on the internet to artificial intelligence, has ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...

Exponential increases in data and a mix of performance requirements are driving a top-to-bottom rethinking of what works best ...