MSc 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 power every aspect of daily life, including transportation, communication, commerce, governance, and scientific research. These capabilities are made possible through highly parallelized, warehouse-sized computing facilities managed 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 computing systems confront significant obstacles, 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 massive computing systems. Key research areas encompass server design, specialized hardware, accelerator technology and GPU computing, scientific computation, innovative memory solutions, data center infrastructure, distributed software and storage solutions, virtualization techniques, advanced networking, and cloud computing programming environments.