SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Daniel Waddington
Principal Research Staff Member
IBM Research
Dr. Waddington is currently a researcher in the Storage Systems Research Group, IBM Research Almaden, California. His current focus is around non-volatile memory and high-performance distributed storage systems. Dr. Waddington holds a Ph.D. from Lancaster University, UK and has over thirty research publications across a broad range of topics pertinent to systems building and performance optimization. He has twenty years of industrial research experience and has previously worked at Bell Labs, Lockheed Martin Advanced Technology Labs, and Samsung Research America. During his career he has applied his research to a broad array of applications including telecommunication switches, mission control and avionics systems, and mobile services. He is a senior member of the ACM.
Related Sessions
Enabling Heterogeneous Memory in Python
Adopting new memory technologies such as Persistent Memory and CXL-attached Memory is a challenge for software. While libraries and frameworks (such as PMDK) can help developers build new software around emerging technology, legacy software faces a more severe challenge. At IBM Research Almaden we are exploring a new approach to managing heterogeneous memory in the context of Python. Our solution, PyMM, focuses on ease-of-use and is aimed primarily at the data science community. This talk will outline PyMM and discuss how it is being used to manage Intel Optane persistent memory. We will review the PyMM programming abstractions and some early data science use-cases. PyMM is currently an early research prototype with open source availability.