4 citations · 7 across the 5 of their papers we have counts for
5 papers
dpBento: Benchmarking DPUs for Data Processing
Jiasheng Hu, Chihan Cui, Anna Li +5
Data processing units (DPUs, SoC-based SmartNICs) are emerging data center hardware that provide opportunities to address cloud data processing challenges. Their onboard compute, m…
In-Place Updates of a Graph Index for Streaming Approximate Nearest Neighbor Search
Haike Xu, Magdalen Dobson Manohar, Philip A. Bernstein +3
Indices for approximate nearest neighbor search (ANNS) are a basic component for information retrieval and widely used in database, search, recommendation and RAG systems. In these…
Distributed Speculative Execution for Resilient Cloud Applications
Tianyu Li, Badrish Chandramouli, Philip A. Bernstein +1
Fault-tolerance is critically important in highly-distributed modern cloud applications. Solutions such as Temporal, Azure Durable Functions, and Beldi hide fault-tolerance complex…
DDS: DPU-optimized Disaggregated Storage [Extended Report]
Qizhen Zhang, Philip Bernstein, Badrish Chandramouli +2
This extended report presents DDS, a novel disaggregated storage architecture enabled by emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize the la…
DPDPU: Data Processing with DPUs
Jiasheng Hu, Philip A. Bernstein, Jialin Li +1
Improving the performance and reducing the cost of cloud data systems is increasingly challenging. Data processing units (DPUs) are a promising solution, but utilizing them for dat…