Systems & Hardware
building hardware for systems and building systems in hardware

Systems and hardware closely interact with each other. WukLab is taking non-traditional approaches to "building systems" and "building hardware" in response to new hardware and software trends. We build systems on new types of hardware like non-volatile memory; we design new hardware architectures for new software trends; we build systems like OSes in hardware; and we improve hardware experiences with software flexibility.



Virtualized FPGA Cloud Services

We are building a virtualization layer on FPGA to improve the flexibility, programmability, utilization, and safety of FPGA acceleration as a cloud service.

Stay tuned for more details.


Hardware-Based Disaggregated Memory Services

We are building a hardware platform which provides disaggregated and distributed memory services to both existing datacenter servers and disaggregated processors. Our hardware-based disaggregated memory services can be accessed by virtual memory interface, key-value store interface, and other customized interfaces.

Stay tuned for more details.


Disaggregated Persistent Memory

One viable approach to deploy persistent memory (PM) in datacenters is to attach PM as self-contained devices to the network as disaggregated persistent memory, or DPM. DPM requires no changes to existing servers in datacenters; without the need to include a processor, DPM devices are cheap to build; and by sharing DPM across compute servers, they offer great elasticity and efficient resource packing.

We propose three architectures of DPM: 1) compute nodes directly access DPM (DPM-Direct); 2) compute nodes send requests to a coordinator server, which then accesses DPM to complete a request (DPM-Central); and 3) compute nodes directly access DPM for data operations and communicate with a global metadata server for the control plane (DPM-Sep). Based on these architectures, we built three atomic, crash-consistent data stores.


Distributed Shared Persistent Memory

NVMs have the potential to greatly improve the performance and reliability of large-scale applications in datacenters. However, it is still unclear how to best utilize them in distributed, datacenter environments.

We introduce Distributed Shared Persistent Memory (DSPM), a new framework for using persistent memories in distributed datacenter environments. DSPM provides a new abstraction that allows applications to both perform traditional memory load and store instructions and to name, share, and persist their data. We built Hotpot, a kernel-level DSPM system that provides low-latency, transparent memory accesses, data persistence, data reliability, and high availability.

Get Hotpot here.


Reliable and Highly-Available NVMM

NVMM would be especially useful in large-scale data center environments, where reliability and availability are critical. However, providing reliability and availability to NVMM is challenging, since the latency of data replication can squander the low latency that NVMM can provide.

Mojim is a system that provides the reliability and availability that large-scale storage systems require, while preserving the performance of NVMM. Mojim achieves these goals by using a two-tier architecture in which the primary tier contains a mirrored pair of nodes and the secondary tier contains one or more secondary backup nodes with weakly consistent copies of data. Mojim uses highly-optimized replication protocols, software, and networking stacks. Our evaluation results show that surprisingly Mojim provides replicated NVMM with similar or even better performance than un-replicated NVMM (reducing latency by 27% to 63% and delivering between 0.4 and 2.7X the throughput). Mojim also outperforms MongoDB's replication system by 3.4 to 4X.


Related Publication


Conferences and Journals

Distributed Shared Persistent Memory
Yizhou Shan, Shin-Yeh Tsai, Yiying Zhang
Proceedings of the ACM Symposium on Cloud Computing 2017 (SoCC '17)

Workshop

Challenges in Building and Deploying Disaggregated Persistent Memory
Yizhou Shan, Yutong Huang, Yiying Zhang
to appear at the 9th Annual Non-Volatile Memories Workshop (NVMW '19)

Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory
Shin-Yeh Tsai, Yiying Zhang
to appear at the 9th Annual Non-Volatile Memories Workshop (NVMW '19)

Disaggregating Memory with Software-Managed Virtual Cache
Yizhou Shan, Yiying Zhang
the 2018 Workshop on Warehouse-scale Memory Systems (WAMS '18) (co-located with ASPLOS '18)

Distributed Shared Persistent Memory
Yizhou Shan, Shin-Yeh Tsai, Yiying Zhang
the 9th Annual Non-Volatile Memories Workshop (NVMW '18)