MSc in Computer Science and Engineering - Warehouse Scale and Parallel Systems (Distributed Software and Storage Systems) 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 governmental organizations. Developers creating next-gen data-intensive applications and warehouse-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 innovating the hardware and software foundations for these expansive computing systems. Key research areas encompass server design, specialized hardware, accelerator technologies and GPU computing, scientific computation, next-gen memory solutions, data center infrastructure, distributed software and storage solutions, virtualization techniques, advanced networking, and cloud computing programming frameworks.