MSc in Computer Science and Engineering - Warehouse Scale and Parallel Systems in Ann Arbor United States | University of Michigan Ann Arbor

Modern society depends heavily on large-scale cloud computing systems that support nearly every aspect of daily life, including transportation, communication, commerce, governance, and scientific research. 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 enhancing performance, boosting programmer efficiency, ensuring service quality, optimizing energy use, managing power supply, maintaining system reliability, regulating temperature, and improving operational control. Within this field, CSE faculty are working on developing both hardware and software frameworks for enormous 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 platforms.