DPDK Summit 2025

Writing multi-process DPDK applications using external queues" explores a novel approach to leveraging DPDK’s multi-process capabilities without requiring shared data or a designated main process. While DPDK supports offloading flows to hardware for performance gains, integrating offloading logic into existing applications can be challenging. By using APIs that enable one application to register queues with another, users can introduce a separate offloading application without modifying the original one. This approach is particularly valuable in scenarios like P4-based architectures, where the offloading application operates independently from the main application, enabling greater flexibility and modularity

With Increase of high performance data applications require data to written at very high speeds , where traditional Row based systems struggle with the scale and complexity of data. This session explores the usage of DPDK and kernel bypass techniques to massively improve the throughput of I/O operations when scaling in order of PetaBytes. Gives insights and key decisions and trade offs while building and implementing such systems. Using DPDK to enhance parallel writing of nested data in columnar formats at petabyte scale combines the framework’s high-performance ethos with the needs of modern data systems. By leveraging DPDK’s multi-threading, memory management, and hardware acceleration, this approach removes traditional bottlenecks, enabling scalable, efficient data storage for applications from scientific research to big data analytics. As data volumes grow, acceleration techniques are very key to improve efficiency and scaling the system.

In this tech talk, we benchmark connection tracking implementations by extending rte_hash based tables with advanced flow aging mechanisms. We compare aging algorithms like timer wheels, smart periodic scanning vs. LRU tables.
We define test cases based on telco traffic profiles using T-Rex traffic-gen and interpret the benchmark results.
Join us to gain insights into enhancing DPDK rte_hash with flow aging features.