Concurrent data structures and memory management are critical components in the design of modern multi-core and parallel computing systems. These fields address the challenge of ensuring safe, ...

The rapid evolution of persistent memory (PM) technologies has spurred a significant shift in how data structures and algorithms are designed and implemented. Persistent memory, offering ...

Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...

Memories of all types are facing pressures as demands grow for greater capacity, lower cost, faster speeds, and lower power to handle the onslaught of new data being generated daily. Whether it’s well ...

Modern applications require databases that can constantly adapt to their real-time needs, introducing a variety of complexities when it comes to selecting the right database for the job. The era of ...

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...

Glass nanostructures etched using high-intensity femtosecond laser pulses promise to keep vast quantities of data safe for billions of years, describe Peter Kazansky, Ausra Cerkauskaite and Rokas ...

Big data is becoming a big problem. In the face of rising emissions from data centres, researchers are turning to novel solutions for storage. Memory crystals and DNA are two frontrunners. On a visit ...