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ORCIDShihao Song
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2020 – today
- 2024
[j10]Shihao Song, Li Pan
, Shijun Liu:
A Q-learning based auto-scaling approach for provisioning big data analysis services in cloud environments. Future Gener. Comput. Syst. 154: 140-150 (2024)- [j9]Tianhong Gao, Daoerji Fan, Huijuan Wu, Xiangzhong Chen, Shihao Song, Yuxin Sun, Jia Tian:
Research on the Vision-Based Dairy Cow Ear Tag Recognition Method. Sensors 24(7): 2194 (2024) - [i22]Yizhang Xia, Shihao Song, Zhanglu Hou, Junwen Xu, Juan Zou, Yuan Liu, Shengxiang Yang:
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition. CoRR abs/2403.18208 (2024) - 2023
- [j8]Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. IEEE Des. Test 40(2): 100-108 (2023) - [c19]Jiamei Feng, Mengchi Liu, Song Hong, Shihao Song:
A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation. ADMA (1) 2023: 155-167 - [c18]Zonglai Mo, Shihao Song, Jili Wang, Congyue Zhang, Zhuangzhang Li, Yue Zhou, Yuanjie Liang, Jun Li:
Study on the Variation of the Maximum Temperature During Heating Process of a Resistance Heater. M2VIP 2023: 1-4 - 2022
- [j7]Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. ACM Trans. Embed. Comput. Syst. 21(3): 27:1-27:35 (2022) - [j6]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy:
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. ACM Trans. Embed. Comput. Syst. 21(6): 77:1-77:27 (2022) - [j5]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Parallel Distributed Syst. 33(2): 288-301 (2022) - [c17]Shihao Song, Yujia Wang, Wei Liang, Xiangyuan Li:
Moving Soon? Rearranging Furniture using Mixed Reality. VR Workshops 2022: 798-799 - [i21]Ankita Paul, Shihao Song, Twisha Titirsha, Anup Das:
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. CoRR abs/2201.11527 (2022) - [i20]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy:
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR abs/2203.05311 (2022) - 2021
- [j4]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13(3): 142-145 (2021) - [j3]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 63:1-63:27 (2021) - [c16]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP 2021: 17-24 - [c15]Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks:
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP 2021: 218-225 - [c14]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC 2021: 657-664 - [c13]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the role of system software in energy management of neuromorphic computing. CF 2021: 124-132 - [c12]Ankita Paul, Shihao Song, Anup Das:
Design Technology Co-Optimization for Neuromorphic Computing. IGSC (Workshops) 2021: 1-6 - [c11]Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo:
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD 2021: 1-7 - [c10]Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. ICCAD 2021: 1-9 - [c9]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [c8]Hongfei Yu, Wei Liang, Shihao Song, Bing Ning, Yixin Zhu:
Interactive Context-Aware Furniture Recommendation using Mixed Reality. VR Workshops 2021: 450-451 - [c7]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for AI/ML Hardware. VTS 2021: 1-10 - [i19]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2103.05707 (2021) - [i18]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for ML/AI Hardware. CoRR abs/2103.12166 (2021) - [i17]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR abs/2103.12231 (2021) - [i16]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR abs/2105.01795 (2021) - [i15]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. CoRR abs/2105.02038 (2021) - [i14]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR abs/2106.09104 (2021) - [i13]Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2108.02023 (2021) - [i12]Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. CoRR abs/2108.12444 (2021) - [i11]Ankita Paul, Shihao Song, Anup Das:
Design Technology Co-Optimization for Neuromorphic Computing. CoRR abs/2110.08131 (2021) - 2020
- [c6]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC 2020: 17-24 - [c5]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. IGSC (Workshops) 2020: 1-3 - [c4]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving phase change memory performance with data content aware access. ISMM 2020: 30-47 - [c3]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM 2020: 100-114 - [c2]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES 2020: 38-50 - [c1]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. MWSCAS 2020: 596-598 - [i10]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2004.03717 (2020) - [i9]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. CoRR abs/2005.04750 (2020) - [i8]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving Phase Change Memory Performance with Data Content Aware Access. CoRR abs/2005.04753 (2020) - [i7]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. CoRR abs/2006.05868 (2020) - [i6]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. CoRR abs/2007.02210 (2020) - [i5]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR abs/2009.09298 (2020) - [i4]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. CoRR abs/2011.13959 (2020) - [i3]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. CoRR abs/2012.00050 (2020)
2010 – 2019
- 2019
- [j2]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18(2): 149-152 (2019) - [j1]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. ACM Trans. Embed. Comput. Syst. 18(5s): 53:1-53:25 (2019) - [i2]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. CoRR abs/1908.07966 (2019) - [i1]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR abs/1911.00548 (2019)
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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