Efficient and Secure Data Storage for Future Networks: Review and Future Opportunities

AS Alsalim, MA Javed - IEEE Access, 2024 - ieeexplore.ieee.org
With the increase in the number of Internet of Things (IoT) applications, the reliance on
robust networking, reliable communications, and efficient and secure data storage is …

Scalable Billion-point Approximate Nearest Neighbor Search Using {SmartSSDs}

B Tian, H Liu, Z Duan, X Liao, H Jin… - 2024 USENIX Annual …, 2024 - usenix.org
Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has
become increasingly crucial in database and machine learning applications. Most previous …

A Brief Survey of Vector Databases

X Xie, H Liu, W Hou, H Huang - 2023 9th International …, 2023 - ieeexplore.ieee.org
The explosive growth of massive high-dimensional data requires capabilities for data
processing, storing, and analyzing. This brings significant challenges to traditional …

DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search

S Zeng, Z Zhu, J Liu, H Zhang, G Dai, Z Zhou… - Proceedings of the 56th …, 2023 - dl.acm.org
Embedding retrieval is a crucial task for recommendation systems. Graph-based
approximate nearest neighbor search (GANNS) is the most commonly used method for …

NDSEARCH: Accelerating graph-traversal-based approximate nearest neighbor search through near data processing

Y Wang, S Li, Q Zheng, L Song, Z Li… - 2024 ACM/IEEE 51st …, 2024 - ieeexplore.ieee.org
Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector
database and many data center applications, such as person re-identification and …

SmartGraph: A Framework for Graph Processing in Computational Storage

S Khadirsharbiyani, N Elyasi, AH Aboutalebi… - Proceedings of the …, 2024 - dl.acm.org
Graph processing plays a pivotal role in numerous large-scale applications, including social
and transportation networks. One of the primary challenges in handling large-scale graph …

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search

Y Wang, S Li, Q Zheng, L Song, Z Li, A Chang… - arXiv preprint arXiv …, 2023 - arxiv.org
Approximate nearest neighbor search (ANNS) is a key retrieval technique for vector
database and many data center applications, such as person re-identification and …

Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

JH Kim, S Han, K Park, SY Ji, JY Kim - IEEE Access, 2023 - ieeexplore.ieee.org
The ability to perform machine learning (ML) tasks in a database management system
(DBMS) is a new paradigm for conventional database systems as it enables advanced data …

Accelerating Graph-based Vector Search via Delayed-Synchronization Traversal

W Jiang, H Hu, T Hoefler, G Alonso - arXiv preprint arXiv:2406.12385, 2024 - arxiv.org
Vector search systems are indispensable in large language model (LLM) serving, search
engines, and recommender systems, where minimizing online search latency is essential …

An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating

M Chen, C Liu, S Liang, L He, Y Wang… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
Graph is widely utilized as a key data structure in many applications, such as social network
and recommendation systems. However, many real-world graphs are constructed with large …