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2020 – today
- 2024
[j2]Pengmiao Zhang
, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna:
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5(5): 646 (2024)- [c12]Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna:
TabConv: Low-Computation CNN Inference via Table Lookups. CF 2024 - [c11]Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna:
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. IPDPS 2024: 876-888 - [i6]Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna:
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching. CoRR abs/2401.06362 (2024) - [i5]Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. CoRR abs/2402.13441 (2024) - [i4]Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor K. Prasanna:
TabConv: Low-Computation CNN Inference via Table Lookups. CoRR abs/2404.05872 (2024) - 2023
- [c10]Kyle Marino, Pengmiao Zhang, Viktor K. Prasanna:
ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers. HiPC 2023: 213-223 - [c9]Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC 2023: 1-7 - [c8]Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC 2023: 1-7 - [c7]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC 2023: 91:1-91:15 - 2022
- [j1]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): 3-16 (2022) - [c6]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-grained address segmentation for attention-based variable-degree prefetching. CF 2022: 103-112 - [c5]Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna:
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA 2022: 135-145 - [c4]Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna:
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC 2022: 1-8 - [c3]Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna:
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC 2022: 81:1-81:14 - [i3]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR abs/2205.02269 (2022) - [i2]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
TransforMAP: Transformer for Memory Access Prediction. CoRR abs/2205.14778 (2022) - [i1]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR abs/2212.05250 (2022) - 2020
- [c2]Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna:
RAOP: Recurrent Neural Network Augmented Offset Prefetcher. MEMSYS 2020: 352-362 - [c1]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: 57-68
Coauthor Index
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