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Houxiang Ji
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 14
Top Topics
Cache Invalidation
Neural Network
Pipeline Architecture
Bit Errors
Top Venues
MICRO
ISCA
ASPLOS (3)
PACT
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Publications
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Jinghan Huang
,
Jiaqi Lou
,
Srikar Vanavasam
,
Xinhao Kong
,
Houxiang Ji
,
Ipoom Jeong
,
Danyang Zhuo
,
Eun Kyung Lee
,
Nam Sung Kim
HAL: Hardware-assisted Load Balancing for Energy-efficient SNIC-Host Cooperative Computing.
ISCA
(2024)
Chihun Song
,
Michael Jaemin Kim
,
Tianchen Wang
,
Houxiang Ji
,
Jinghan Huang
,
Ipoom Jeong
,
Jaehyun Park
,
Hwayong Nam
,
Minbok Wi
,
Jung Ho Ahn
,
Nam Sung Kim
TAROT: A CXL SmartNIC-Based Defense Against Multi-bit Errors by Row-Hammer Attacks.
ASPLOS (3)
(2024)
Yan Sun
,
Yifan Yuan
,
Zeduo Yu
,
Reese Kuper
,
Chihun Song
,
Jinghan Huang
,
Houxiang Ji
,
Siddharth Agarwal
,
Jiaqi Lou
,
Ipoom Jeong
,
Ren Wang
,
Jung Ho Ahn
,
Tianyin Xu
,
Nam Sung Kim
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices.
MICRO
(2023)
Houxiang Ji
,
Mark Mansi
,
Yan Sun
,
Yifan Yuan
,
Jinghan Huang
,
Reese Kuper
,
Michael M. Swift
,
Nam Sung Kim
STYX: Exploiting SmartNIC Capability to Reduce Datacenter Memory Tax.
USENIX Annual Technical Conference
(2023)
Zirui Neil Zhao
,
Houxiang Ji
,
Adam Morrison
,
Darko Marinov
,
Josep Torrellas
Pinned loads: taming speculative loads in secure processors.
ASPLOS
(2022)
Zhangxiaowen Gong
,
Houxiang Ji
,
Yao Yao
,
Christopher W. Fletcher
,
Christopher J. Hughes
,
Josep Torrellas
Graphite: optimizing graph neural networks on CPUs through cooperative software-hardware techniques.
ISCA
(2022)
Lihui Liu
,
Houxiang Ji
,
Jiejun Xu
,
Hanghang Tong
Comparative Reasoning for Knowledge Graph Fact Checking.
Big Data
(2022)
Zhangxiaowen Gong
,
Houxiang Ji
,
Christopher W. Fletcher
,
Christopher J. Hughes
,
Josep Torrellas
SparseTrain: Leveraging Dynamic Sparsity in Software for Training DNNs on General-Purpose SIMD Processors.
PACT
(2020)
Zhangxiaowen Gong
,
Houxiang Ji
,
Christopher W. Fletcher
,
Christopher J. Hughes
,
Sara Baghsorkhi
,
Josep Torrellas
SAVE: Sparsity-Aware Vector Engine for Accelerating DNN Training and Inference on CPUs.
MICRO
(2020)
Zirui Neil Zhao
,
Houxiang Ji
,
Mengjia Yan
,
Jiyong Yu
,
Christopher W. Fletcher
,
Adam Morrison
,
Darko Marinov
,
Josep Torrellas
Speculation Invariance (InvarSpec): Faster Safe Execution Through Program Analysis.
MICRO
(2020)
Zhangxiaowen Gong
,
Houxiang Ji
,
Christopher W. Fletcher
,
Christopher J. Hughes
,
Josep Torrellas
SparseTrain: Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors.
CoRR
(2019)
Houxiang Ji
,
Li Jiang
,
Tianjian Li
,
Naifeng Jing
,
Jing Ke
,
Xiaoyao Liang
HUBPA: high utilization bidirectional pipeline architecture for neuromorphic computing.
ASP-DAC
(2019)
Houxiang Ji
,
Linghao Song
,
Li Jiang
,
Hai Helen Li
,
Yiran Chen
ReCom: An efficient resistive accelerator for compressed deep neural networks.
DATE
(2018)
Luyu Li
,
Houxiang Ji
,
Chentao Wu
,
Jie Li
,
Minyi Guo
Favorable Block First: A Comprehensive Cache Scheme to Accelerate Partial Stripe Recovery of Triple Disk Failure Tolerant Arrays.
ICPP
(2017)