Ruobing Han

According to our database, Ruobing Han authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SoftCUDA: Running CUDA on Softcore GPU.

Chihyo Ahn, Ruobing Han, Udit Subramanya, Jisheng Zhao, Blaise Tine, Hyesoon Kim

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

2024

Development of transient ischemic attack risk prediction model suitable for initializing a learning health system unit using electronic medical records.

Jian Wen, Tianmei Zhang, Shangrong Ye, Cheng Li, Ruobing Han, Ran Huang, Bairong Shen, Anjun Chen, Qinghua Li

BMC Medical Informatics Decis. Mak., December, 2024

CuPBoP: Making CUDA a Portable Language.

Ruobing Han, Jun Chen, Bhanu Garg, Xule Zhou, John Lu, Jeffrey Young, Jaewoong Sim, Hyesoon Kim

ACM Trans. Design Autom. Electr. Syst., 2024

Unleashing CPU Potential for Executing GPU Programs Through Compiler/Runtime Optimizations.

Ruobing Han, Jisheng Zhao, Hyesoon Kim

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Enabling Fine-Grained Incremental Builds by Making Compiler Stateful.

Ruobing Han, Jisheng Zhao, Hyesoon Kim

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

Exponentially Expanding the Phase-Ordering Search Space via Dormant Information.

Ruobing Han, Hyesoon Kim

Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction, 2024

2023

Haplotype-resolved Genome of Sika Deer Reveals Allele-specific Gene Expression and Chromosome Evolution.

Ruobing Han, Lei Han, Xunwu Zhao, Qianghui Wang, Yanling Xia, Heping Li

Genom. Proteom. Bioinform., June, 2023

CuPBoP: A Framework to Make CUDA Portable.

Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022

GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training.

Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan

IEEE Trans. Big Data, 2022

COX : Exposing CUDA Warp-level Functions to CPUs.

Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim

ACM Trans. Archit. Code Optim., 2022

CuPBoP: CUDA for Parallelized and Broad-range Processors.

Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim

CoRR, 2022

2021

COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs.

Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim

CoRR, 2021

Supporting CUDA for an extended RISC-V GPU architecture.

Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim

CoRR, 2021

Auto-Precision Scaling for Distributed Deep Learning.

Ruobing Han, James Demmel, Yang You

Proceedings of the High Performance Computing - 36th International Conference, 2021

Dynamic scaling for low-precision learning.

Ruobing Han, Min Si, James Demmel, Yang You

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2019

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes.

Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen

CoRR, 2019