Mark Hildebrand

12 papers A* 1A 1B 1C 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. CoRR 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, James Codella, Mark Hildebrand, Magdalen Dobson Manohar, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Ritika Mor, Santosh Kulkarni, Hemeswari Varada, Sudhanshu Barthwal, Amar Sagare, Dinesh Billa, Zishan Fu, Neil Deshpande, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Vipul Vishal, Harsha Vardhan Simhadri
2025	J	`jnl`	Cost-Effective, Low Latency Vector Search with Azure Cosmos DB. Proc. VLDB Endow. Nitish Upreti, Harsha Vardhan Simhadri, Hari Sudan Sundar, Krishnan Sundaram, Samer Boshra, Balachandar Perumalswamy, Shivam Atri, Martin Chisholm, Revti Raman Singh, Greg Yang, Tamara Hass, Nitesh Dudhey, Subramanyam Pattipaka, Mark Hildebrand, Magdalen Dobson, Jack Moffitt, Haiyang Xu, Naren Datha, Suryansh Gupta, Ravishankar Krishnaswamy, Prashant Gupta, Abhishek Sahu, Hemeswari Varada, Sudhanshu Barthwal, Ritika Mor, James Codella, Shaun Cooper, Kevin Pilch, Simon Moreno, Aayush Kataria, Santosh Kulkarni, Neil Deshpande, Amar Sagare, Dinesh Billa, Zishan Fu, Vipul Vishal
2024	A	`conf`	CachedArrays: Optimizing Data Movement for Heterogeneous Memory Systems. IPDPS Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella
2024	J	`jnl`	LeanVec: Searching vectors faster by making them fit. Trans. Mach. Learn. Res. Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Theodore L. Willke
2024	J	`jnl`	Locally-Adaptive Quantization for Streaming Vector Search. CoRR Cecilia Aguerrebere, Mark Hildebrand, Ishwar Singh Bhati, Theodore L. Willke, Mariano Tepper
2023	C	`conf`	Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems. ISC Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella
2023	J	`jnl`	LeanVec: Search your vectors faster by making them fit. CoRR Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Ted Willke
2023	J	`jnl`	Similarity search in the blink of an eye with compressed indices. CoRR Cecilia Aguerrebere, Ishwar Singh Bhati, Mark Hildebrand, Mariano Tepper, Ted Willke
2023	J	`jnl`	Similarity search in the blink of an eye with compressed indices. Proc. VLDB Endow. Cecilia Aguerrebere, Ishwar Singh Bhati, Mark Hildebrand, Mariano Tepper, Theodore L. Willke
2022	—	`—`	A Framework for Managing Heterogeneous Memory for Large Scale Machine Learning Workloads Mark Hildebrand
2021	B	`conf`	A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems. ISPASS Mark Hildebrand, Julian T. Angeles, Jason Lowe-Power, Venkatesh Akella
2020	A*	`conf`	AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming. ASPLOS Mark Hildebrand, Jawad Khan, Sanjeev Trika, Jason Lowe-Power, Venkatesh Akella