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 ...

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

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 ...

Researchers from the Department of Energy's Oak Ridge National Laboratory have developed a new application to increase efficiency in memory systems for high-performance computing. Rather than allow ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

The adoption of in-memory computing continues to accelerate. Mature solutions enable organizations to obtain the database processing speed and scale they require for their digital transformation and ...