Ta-Yang Wang

According to our database, Ta-Yang Wang authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA.

Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

Training Heterogeneous Graph Neural Networks using Bandit Sampling.

Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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

Towards Programmable Memory Controller for Tensor Decomposition.

Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna

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

Throughput optimization in heterogeneous MIMO networks: a GNN-based approach.

Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna

Proceedings of the 1st International Workshop on Graph Neural Networking, 2022

2021

Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms.

Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

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

A Framework for Task Mapping onto Heterogeneous Platforms.

Ta-Yang Wang, Ajitesh Srivastava, Viktor K. Prasanna

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020