Author: tayangwa

Our paper “Towards Programmable Memory Controller for Tensor Decomposition” has been accepted at the 11th International Conference on Data Science and Applications (DATA), 2022.

Our paper “A2P: Attention-Based Memory Access Prediction for Graph Analytics” has been accepted at the 11th International Conference on Data Science and Applications (DATA), 2022.

Yuan Meng and Chi Zhang received Best Paper award at the 19th International Conference on Computing Frontiers (CF ’22) for the paper titled “FPGA Acceleration…

Our paper “Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching” has been accepted at the International Conference on Computing Frontiers (CF), 2022.

Our paper “Decoupling the Depth and Scope of Graph Neural Networks” has been accepted at the Advances in Neural Information Processing Systems (NeurIPS), 2021.

Our paper “Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms” has been accepted at the International Conference on High Performance Computing, Data, and…

Our paper “BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning” has been accepted at the 13th Asian Conference on Machine Learning (ACML ’21),…

Our paper “Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform” has been accepted at the 2021 IEEE High Performance Extreme Computing Conference (HPEC ’21).

Our paper “TransforMAP: Transformer for Memory Access Prediction” has been accepted as a full paper at the 48th International Symposium on Computer Architecture (ISCA ’21),…

Our paper “The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance” has been accepted at the 5th International Workshop…