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Author

R. Balasubramonian

2 papers indexed here

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Preprint Sep 2026

Towards Enabling Distance-Based Memory Addressing

Approximate Nearest-Neighbor Search (ANNS) in high dimensional vector datasets is an application of significant prevalence across different AI applications. However, such an operation is significantly bandwidth limited at large workingset sizes owing to the curse of dimensionality. Traditional indices used to accelerat...

A. Prasad, Sharad Bhat, R. Balasubramonian et al. · 0 citations
Preprint Sep 2026

NDS: Programmer-Free Offload of High-Performance Near Data Strands

Near Data Processing (NDP) has the potential to significantly improve system performance and energy by alleviating data movement bottlenecks. However, most NDP proposals pose heavy requirements for the software stack, data layout, and/or the underlying hardware. To broaden NDP adoption, this work focuses on a modular h...

Shreyas Singh, Pratyush Nandi, Lin Jia et al. · 0 citations

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