Ruobing Han

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Functional Genomics

Drosophila Melanogaster

Gene Expression

Top Venues

Genom. Proteom. Bioinform.

Publications

Ruobing Han, Hyesoon Kim
Exponentially Expanding the Phase-Ordering Search Space via Dormant Information. CC (2024)
Ruobing Han, Jisheng Zhao, Hyesoon Kim
Enabling Fine-Grained Incremental Builds by Making Compiler Stateful. CGO (2024)
Ruobing Han, Lei Han, Xunwu Zhao, Qianghui Wang, Yanling Xia, Heping Li
Haplotype-resolved Genome of Sika Deer Reveals Allele-specific Gene Expression and Chromosome Evolution. Genom. Proteom. Bioinform. 21 (3) (2023)
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
CuPBoP: A Framework to Make CUDA Portable. PPoPP (2023)
Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training. IEEE Trans. Big Data 8 (2) (2022)
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
COX : Exposing CUDA Warp-level Functions to CPUs. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
CuPBoP: CUDA for Parallelized and Broad-range Processors. CoRR (2022)
Ruobing Han, James Demmel, Yang You
Auto-Precision Scaling for Distributed Deep Learning. ISC (2021)
Ruobing Han, Min Si, James Demmel, Yang You
Dynamic scaling for low-precision learning. PPoPP (2021)
Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
Supporting CUDA for an extended RISC-V GPU architecture. CoRR (2021)
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs. CoRR (2021)
Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes. CoRR (2019)
Ruobing Han, Yang You, James Demmel
Auto-Precision Scaling for Distributed Deep Learning. CoRR (2019)