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 ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers from Japan have ...

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 ...

If you’ve ever done Linux memory forensics, you know the frustration: without debug symbols that match the exact kernel version, you’re stuck. These symbols aren’t typically installed on production ...

Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it. About 70 years ago, an engineer at IBM named Hans ...

Cambridge scientists have developed a new prototype for computer memory that could make for faster chips that could hold up to 100 times more data. The system is made up of barium bridges between ...

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 ...

*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.