High Performance Analytics Database

2019-2020 Fall
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

Although the scalability of a distributed system is higher than a centralized system, big data solutions based on a distributed system may not provide better performance due to slower technological improvements in communication technologies compared to rapid advancements in CPU technologies. Also, low prices of storage units led to a centralized system being able to handle the entire data analysis workload of a mid-range enterprise. For example, 3 TB of data can be stored statically on a single computer and with the help of external drives and high performance computing tools that are connected to the network, a scalable centralized solution is achievable.
In this project, we will implement an analytics database using multicore CPUs and GPUs. Excellent knowledge of C++ is required.  

Related Areas of Project: 
Computer Science and Engineering

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