MSc in Engineering 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 supported 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-heavy applications and large-scale systems confront significant hurdles, such as boosting performance, enhancing developer efficiency, ensuring service quality, optimizing energy use, managing power supply, maintaining system reliability, regulating temperatures, and improving operational management. Within this research domain, CSE faculty are working on developing both hardware and software frameworks for these expansive computing systems. Key research areas encompass server design, specialized hardware, GPU acceleration and general-purpose computing, scientific computation, innovative memory solutions, data center infrastructure, distributed software and storage solutions, virtualization technologies, advanced networking, and cloud computing programming frameworks.