activity
20172023
most citedData Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

7 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2023

MEC: An Open-source Fine-grained Mapping Equivalence Checking Tool for FPGA

Liwei Ni, Zonglin Yang, Jiaxi Zhang +6

Technology mapping is an essential step in EDA flow. However, the function of the circuit may be changed after technology mapping, and equivalence checking (EC) based verification…

cs.AR2023★ 5 cited

iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library

Xingquan Li, Simin Tao, Zengrong Huang +53

Open-source EDA shows promising potential in unleashing EDA innovation and lowering the cost of chip design. This paper presents an open-source EDA project, iEDA, aiming for buildi…

cs.DC2022

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer

Wanling Gao, Lei Wang, Mingyu Chen +13

Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehou…

cs.DC2018★ 7 cited

Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +9

The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big…

cs.DC2018

Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads

Wanling Gao, Jianfeng Zhan, Lei Wang +6

The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to characterizing big data and AI wo…

cs.AR2017★ 2 cited

A Dwarf-based Scalable Big Data Benchmarking Methodology

Wanling Gao, Lei Wang, Jianfeng Zhan +7

Different from the traditional benchmarking methodology that creates a new benchmark or proxy for every possible workload, this paper presents a scalable big data benchmarking meth…