Our overarching goal is to research and develop new techniques applied to a diverse spectrum of computer systems (including edge, cloud and high-performance computing) and across layers of abstraction (including computer architecture, operating systems, virtualization, middleware, software engineering, and applications).
Here are some themes and techniques that we currently work on:
Function-as-a-Service, serverless workflows. Modern Function-as-a-Service (FaaS) cloud platforms offer great potential for supporting event-driven scientific workflows. Nonetheless, there remain barriers to adoption by the scientific community in domains such as environmental sciences, where R is the focal language used for the development of applications and where users are typically not well-versed with FaaS APIs. We have designed and implemented FaaSr, a novel open-source middleware that supports event-driven scientific workflows in R. A key novelty in FaaSr is the ability to deploy workflows across FaaS providers without the need for any managed servers for coordination. We have also explored using lightweight per-function virtual machines (virtines) to enable more strongly isolated FaaS platforms.
Modern high-performance memory systems. Modern memory systems involve designs aimed at surmounting the “memory wall,” where memory capacity and bandwidth can limit workload performance. We are investigating new system software support for disaggregated memory, where a workload’s memory is transparently expanded across nodes in a cluster. In particular, we developed a new compiler and runtime system for high-performance far memory called TrackFM. To address memory bandwidth limitations, near-data processing architectures move compute nearer to memory, for example with processing units integrated near DRAM banks. We are investigating new software and hardware abstractions for next-generation processing-in-memory (PIM) architectures.
Specialized system software for HPC. We are interested in ground-up redesigns of the hardware/software layer for high-performance computing. In the past, we have developed new operating systems, virtual machine monitors, languages, compilers, and hardware designs for HPC.
Software-defined virtual networks for edge-to-cloud computing. While within cloud data centers, nodes can communicate without the presence of Network Address Translators (NATs), edge computing applications require devices to communicate across different private networks and must deal with NAT traversal to enable edge-to-edge communication. We have designed and implemented EdgeVPN, a technique that enables virtual private Ethernet networks that span edge and cloud resources – including those constrained by NAT and firewall middleboxes. EdgeVPN builds upon a scalable structured peer-to-peer overlay, and integrates overlay tunnels with Software Defined Networking (SDN) software switches to create a virtual network with dynamic membership – supporting unmodified Ethernet/IP stacks to facilitate the deployment of edge applications.
