Existing serverless computing platforms are built upon homogeneous computers, limiting the
function density and restricting serverless computing to limited scenarios. We introduce …

Intel Software Guard extensions (SGX) enable secure and trusted execution of user code in
an isolated enclave to protect against a powerful adversary. Unfortunately, running I/O …

Recently, there is an increasing interest in building data-center applications with RDMA
because of its low-latency, high-throughput, and low-CPU-utilization benefits. However …

The recent surge of network I/O performance has put enormous pressure on memory and
software I/O processing sub systems. We argue that the primary reason for high memory and …

With rising network rates, cloud vendors increasingly deploy FPGA-based SmartNICs (F-
NICs), leveraging their inline processing capabilities to offload hypervisor networking …

This paper explores new opportunities afforded by the growing deployment of compute and
I/O accelerators to improve the performance and efficiency of hardware-accelerated …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

To break the GPU memory wall for scaling deep learning workloads, a variety of architecture
and system techniques have been proposed recently. Their typical approaches include …

Restricting data plane processing to packet headers precludes analysis of payloads to
improve routing and security decisions. DeepMatch delivers line-rate regular expression …

Originally developed to support video games, graphics processor units (GPUs) are now
increasingly used for general-purpose (non-graphics) applications ranging from machine …