Pengmiao Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

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Top Venues

Publications

Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
TabConv: Low-Computation CNN Inference via Table Lookups. CoRR (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS (2024)
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
TabConv: Low-Computation CNN Inference via Table Lookups. CF (2024)
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR (2024)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR (2024)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5 (5) (2024)
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC (2023)
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC (2023)
Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC (2023)
Kyle Marino, Pengmiao Zhang, Viktor K. Prasanna
ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers. HiPC (2023)
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC (2022)
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR (2022)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-grained address segmentation for attention-based variable-degree prefetching. CF (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
TransforMAP: Transformer for Memory Access Prediction. CoRR (2022)
Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. Int. J. Data Sci. Anal. 13 (1) (2022)
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR (2022)
Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. PAKDD (2) (2020)
Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna
RAOP: Recurrent Neural Network Augmented Offset Prefetcher. MEMSYS (2020)