Near-Data Data Transformation

• BU Faculty Members: Manos Athanassoulis and Renato Mancuso 
• Red Hatters: Uli Drepper and Ahmed Sanaullah 

The team is creating a hardware-software co-design paradigm for data systems that implements near-memory processing. The approach has the potential to revolutionize data management by bridging the gap of analytical and transactional processing. This paradigm addresses the performance bottleneck caused by memory bandwidth and will allow both cloud and edge systems to efficiently handle mixed transactional and analytics data-intensive workloads with a better trade-off between bandwidth and latency. “The proposed software-hardware co-design methodology will also improve the collective understanding of new design models and resource management strategies that are possible in systems with programmable memory hierarchies,” the team wrote.

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Other Funding
Cisco

Check out more about this project on the Red Hat Research website.