MSc in Engineering in Computer Science and Engineering - Warehouse Scale and Parallel Systems (Programming Systems for Cloud Computing) in Ann Arbor United States | University of Michigan Ann Arbor

Modern civilization has become deeply dependent on large-scale cloud computing systems that support 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-heavy applications and large-scale computing systems confront significant hurdles, such as enhancing speed, boosting developer efficiency, ensuring service quality, optimizing energy use, managing power supply, maintaining system reliability, regulating temperature, and guaranteeing operational simplicity. Within this research domain, CSE faculty are working on developing both hardware and software frameworks for enormous computing systems. Key areas of investigation encompass server design, specialized hardware, accelerator technology and GPU computing, scientific computation, new memory solutions, data center physical layouts, distributed software and storage architectures, virtualization techniques, advanced networking, and development tools for cloud-based systems.