Nikolas Ioannou is a Research Manager and Master Inventor at IBM Research Zurich, where he leads the Cloud Data Platforms group, working on cloud infrastructure, non-volatile memories, distributed file systems, and systems aspects of machine learning frameworks. His work has had product impact in a range of IBM products, including IBM FlashSystem, IBM Cloud database services, the IBM Easy Tier Server for DS8000, and IBM Watson Machine Learning. Nikolas has over 90 patents (60 granted) in the areas of machine learning, solid-state memory technology, and cloud computing; he has authored articles in journals such as ACM ToS, ACM TACO, IEEE TPDS, and IBM JRD, and in major conferences including Usenix FAST, VLDB, NeurIPS, MICRO, PACT; he received 1 best paper award (SYSTOR), 2 best paper nominations, and 2 spotlight awards (NeurIPS, MICCAI). Nikolas is a Senior Member of the ACM, and he received his PhD in computer science from the University of Edinburgh (UK).
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Reaping the performance of solid-state storage
The high-performance storage landscape is being shaped by three main developments: a) Flash memories are scaling to extreme densities (e.g., 3D-TLC, QLC), b) new storage devices offer...
- Toward a better understanding and benchmarking of tree data structures on flash SSDsSolid-state drives (SSDs) are extensively used to deploy persistent data stores, as they provide low latency random access, high write throughput, high data density, and low cost....
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- Toward a better understanding and benchmarking of tree data structures on flash SSDs