Pengmiao Zhang

According to our database, Pengmiao Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching.

Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2024

2023

Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the International Conference for High Performance Computing, 2023

PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models.

Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction.

Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

ME- ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers.

Kyle Marino, Pengmiao Zhang, Viktor K. Prasanna

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022

C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction.

Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna

Int. J. Data Sci. Anal., 2022

Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2022

TransforMAP: Transformer for Memory Access Prediction.

Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2022

ReSemble: Reinforced Ensemble Framework for Data Prefetching.

Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna

Proceedings of the SC22: International Conference for High Performance Computing, 2022

SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

A2P: Attention-based Memory Access Prediction for Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna

Proceedings of the 11th International Conference on Data Science, 2022

Fine-grained address segmentation for attention-based variable-degree prefetching.

Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2020

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction.

Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

RAOP: Recurrent Neural Network Augmented Offset Prefetcher.

Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020