MSc in Computer Science and Engineering - Warehouse Scale and Parallel Systems (Data Center Physical Infrastructure) in Ann Arbor United States | University of Michigan Ann Arbor

Modern life depends heavily on large-scale cloud computing systems that power everything from transportation and communication to business operations, governance, and scientific breakthroughs. These capabilities are made possible by massively parallel, warehouse-sized computing facilities run by major providers such as Amazon, Facebook, Microsoft, and Google, along with various private and government organizations. Developers creating next-gen data-intensive applications and large-scale systems confront significant hurdles, including boosting performance, enhancing developer efficiency, ensuring service quality, optimizing energy use, managing power supply, maintaining system reliability, regulating temperatures, and guaranteeing operational manageability. Within this research domain, CSE faculty are working on developing both hardware and software frameworks for massive computing systems. Key research areas encompass server design, specialized hardware, accelerator and GPU computing, scientific computation, new memory technologies, data center infrastructure, distributed software and storage solutions, virtualization techniques, advanced networking, and cloud programming systems.