In comparison with cloud computing, edge computing offers processing at locations closer to
end devices and reduces the user experienced latency. The new recent paradigm of in …

Programmable data plane technologies enable the systematic reconfiguration of the low-
level processing steps applied to network packets and are key drivers toward realizing the …

It is widely acknowledged that large models have the potential to deliver superior
performance across a broad range of domains. Despite the remarkable progress made in …

Training machine learning models in parallel is an increasingly important workload. We
accelerate distributed parallel training by designing a communication primitive that uses a …

We present NetCache, a new key-value store architecture that leverages the power and
flexibility of new-generation programmable switches to handle queries on hot items and …

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

Emerging Multicore SoC SmartNICs, enclosing rich computing resources (eg, a multicore
processor, onboard DRAM, accelerators, programmable DMA engines), hold the potential to …

Distributed Denial-of-Service (DDoS) attacks have become a critical threat to the Internet.
Due to the increasing number of vulnerable Internet of Things (IoT) devices, attackers can …

Distributed deep neural network training (DT) systems are widely deployed in clusters where
the network is shared across multiple tenants, ie, multiple DT jobs. Each DT job computes …

Coordination services are a fundamental building block of modern cloud systems, providing
critical functionalities like configuration management and distributed locking. The major …