1 citations · 1 across the 6 of their papers we have counts for
8 papers · 1 filter
iFVS: Towards Instance-Optimized Filtered Vector Search
Abdullah Al-Mamun, Yeasir Rayhan, Walid G. Aref
Filtered vector search (FVS) is increasingly important in modern AI + DB systems, where vector similarity search is combined with relational predicates. Quantization plays a vital…
Virtual-Memory Assisted Buffer Management In Tiered Memory
Yeasir Rayhan, Walid G. Aref
Tiered memory architectures have gained significant traction in the database community in recent years. In these architectures, the on-chip DRAM of the host processor is typically…
Gen-DBA: Generative Database Agents
Yeasir Rayhan, Walid G. Aref
Leveraging Machine Learning to optimize database systems, referred to as Machine Learning for Databases (ML4DB, for short), dates back to the early 1990s, spanning indexing techniq…
Exploring Next Token Prediction For Optimizing Databases
Yeasir Rayhan, Walid G. Aref
The Next Token Prediction paradigm (NTP, for short) lies at the forefront of modern large foundational models that are pre-trained on diverse and large datasets. These models gener…
Revisiting Page Migration for Main-Memory Database Systems
Yeasir Rayhan, Walid G. Aref
Modern hardware architectures, e.g., NUMA servers, chiplet processors, tiered and disaggregated memory systems have significantly improved the performance of Main-Memory Databases,…
P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction
Yeasir Rayhan, Walid G. Aref
Ever since the Dennard scaling broke down in the early 2000s and the frequency of the CPUs stalled, vendors have started to increase the core count in each CPU chip at the expense…