PhD 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 support everything from transportation and communication to business operations, governance, and scientific breakthroughs. These capabilities are powered 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 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, accelerator technologies and GPU computing, scientific computation, new memory solutions, data center infrastructure, distributed software and storage, virtualization techniques, advanced networking, and cloud programming systems.