activity
20202025
most citedBenchmarking High Bandwidth Memory on FPGAs

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2025★ 1 cited

FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics

Zeke Wang, Jie Zhang, Hongjing Huang +10

Modern data analytics requires a huge amount of computing power and processes a massive amount of data. At the same time, the underlying computing platform is becoming much more he…

cs.AR2024

RPCAcc: A High-Performance and Reconfigurable PCIe-attached RPC Accelerator

Jie Zhang, Hongjing Huang, Xuzheng Xu +4

The emerging microservice/serverless-based cloud programming paradigm and the rising networking speeds leave the RPC stack as the predominant data center tax. Domain-specific hardw…

cs.DC2023

P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs

Hongjing Huang, Yingtao Li, Jie Sun +5

Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient di…

cs.DC2020

Optimizing Memory Performance of Xilinx FPGAs under Vitis

Ruoshi Li, Hongjing Huang, Zeke Wang +3

Plenty of research efforts have been devoted to FPGA-based acceleration, due to its low latency and high energy efficiency. However, using the original low-level hardware descripti…

cs.AR2020★ 5 cited

Benchmarking High Bandwidth Memory on FPGAs

Zeke Wang, Hongjing Huang, Jie Zhang +1

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce the memory bandwidth bottleneck encountered in some applications and to give the FPGA more cap…