Pengmiao Zhang

21 papers A 3C 1Misc 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
GraFetch: Accelerating Graph Applications Through Domain Specific Hierarchical Hybrid Prefetching.
IEEE Trans. Parallel Distributed Syst.
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024 J jnl
Accelerating Graph Analytics Using Attention-Based Data Prefetcher.
SN Comput. Sci.
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2024 A conf
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching.
IPDPS
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024 J jnl
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching.
CoRR
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna
2024 J jnl
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models.
CoRR
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2024 — conf
TabConv: Low-Computation CNN Inference via Table Lookups.
CF
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
2024 J jnl
TabConv: Low-Computation CNN Inference via Table Lookups.
CoRR
Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna
2023 — conf
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction.
HPEC
Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2023 Misc conf
ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers.
HiPC
Kyle Marino, Pengmiao Zhang, Viktor K. Prasanna
2023 — conf
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models.
HPEC
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2023 A conf
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics.
SC
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2022 C conf
A2P: Attention-based Memory Access Prediction for Graph Analytics.
DATA
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2022 J jnl
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction.
Int. J. Data Sci. Anal.
Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
2022 J jnl
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 — conf
Fine-grained address segmentation for attention-based variable-degree prefetching.
CF
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 J jnl
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics.
CoRR
Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna
2022 A conf
ReSemble: Reinforced Ensemble Framework for Data Prefetching.
SC
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
2022 — conf
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics.
HPEC
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
2022 J jnl
TransforMAP: Transformer for Memory Access Prediction.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2020 — conf
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction.
PAKDD (2)
Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna
2020 — conf
RAOP: Recurrent Neural Network Augmented Offset Prefetcher.
MEMSYS
Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna