AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming. - Mark Hildebrand; Jawad Khan; Sanjeev Trika; Jason Lowe-Power; Venkatesh Akella (ASPLOS, 2020)

A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems. - Mark Hildebrand; Julian T. Angeles; Jason Lowe-Power; Venkatesh Akella (ISPASS, 2021)

A Framework for Managing Heterogeneous Memory for Large Scale Machine Learning Workloads - Mark Hildebrand (2022)

Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems. - Mark Hildebrand; Jason Lowe-Power; Venkatesh Akella (ISC, 2023)

LeanVec: Search your vectors faster by making them fit. - Mariano Tepper; Ishwar Singh Bhati; Cecilia Aguerrebere; Mark Hildebrand; Ted Willke (CoRR, 2023)

Similarity search in the blink of an eye with compressed indices. - Cecilia Aguerrebere; Ishwar Singh Bhati; Mark Hildebrand; Mariano Tepper; Theodore L. Willke (Proc. VLDB Endow., 2023)

CachedArrays: Optimizing Data Movement for Heterogeneous Memory Systems. - Mark Hildebrand; Jason Lowe-Power; Venkatesh Akella (IPDPS, 2024)

Locally-Adaptive Quantization for Streaming Vector Search. - Cecilia Aguerrebere; Mark Hildebrand; Ishwar Singh Bhati; Theodore L. Willke; Mariano Tepper (CoRR, 2024)

LeanVec: Searching vectors faster by making them fit. - Mariano Tepper; Ishwar Singh Bhati; Cecilia Aguerrebere; Mark Hildebrand; Theodore L. Willke (Trans. Mach. Learn. Res., 2024)

Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. - Nitish Upreti; Krishnan Sundaram; Hari Sudan Sundar; Samer Boshra; Balachandar Perumalswamy; Shivam Atri; Martin Chisholm; Revti Raman Singh; Greg Yang; Subramanyam Pattipaka; Tamara Hass; Nitesh Dudhey; et al. (CoRR, 2025)