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Guiyuan Zhu

dblp:372/1771 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0008-3572-3838ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 91% Cloud and datacenter computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Reconfigurable computing and FPGAs
FPGA resource management
0.812024
XUNI: Virtual Machine Abstraction for Self-contained and Multi-tenant Cloud FPGAs · FPGA 2024
Reconfigurable computing and FPGAs
FPGA virtualization
0.812024
XUNI: Virtual Machine Abstraction for Self-contained and Multi-tenant Cloud FPGAs · FPGA 2024
Reconfigurable computing and FPGAs › FPGA virtualization
multi-tenant FPGA
0.812024
XUNI: Virtual Machine Abstraction for Self-contained and Multi-tenant Cloud FPGAs · FPGA 2024
Cloud and datacenter computing
virtualization
0.212024
XUNI: Virtual Machine Abstraction for Self-contained and Multi-tenant Cloud FPGAs · FPGA 2024
YearPublicationVenuePosition
2024 XUNI: Virtual Machine Abstraction for Self-contained and Multi-tenant Cloud FPGAs
abstract
FPGAs have become essential infrastructural components as well as publicly rentable resources in cloud and datacenters. Although one tenant is equipped with a couple of individual physical FPGA devices to solve a single problem, cloud FPGAs are still underutilized in many scenarios. Considering the economic cost of such heterogeneous computing resources, it is essential to explore opportunities for FPGA virtualization such that multiple tenants can share one physical device. Unlike the conventional host-centric virtualization approaches considering FPGAs as I/O peripherals, we propose XUNI, an FPGA-centric and self-contained virtual machine (VM) abstraction without involving the host-side virtualization techniques. Specifically, we design a hardware-software co-designed hypervisor for resource management and provisioning of various FPGA VMs. First, XUNI partitions the FPGA fabric into a series of reconfigurable regions that can be flexibly assembled for the deployment of large-scale designs. Second, we introduce both static partition and dynamic allocation schemes for FPGA-side DRAM sharing in XUNI. Last but not least, a hierarchical multi-tenant hardware network stack is built to provide an I/O interface for each FPGA VM. We implement XUNI and conduct infrastructural evaluations on a custom cloud FPGA node populated with an AMD/Xilinx Zynq MPSoC chip. Preliminary results demonstrate that XUNI is capable of handling hundreds of thousands of FPGA-VM-initiated memory requests per second. The hardware network stack exhibits line rate (~100Gbps) when receiving packets with the default 1500-byte MTU size. Moreover, each FPGA VM boots up within hundreds of milliseconds, which is comparable to emerging lightweight host-side VMs.
Guiyuan Zhu, Yunhai Liu, Yisong Chang, Ke Zhang 0017, Mingyu Chen 0001
FPGA2