Jieming Yin

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

Recently cloud-based graph convolutional network (GCN) has demonstrated great success and potential in many privacy-sensitive applications such as personal healthcare and financial systems....

TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation

Accelerating tensor applications on spatial architectures provides high performance and energy-efficiency, but requires accurate performance models for evaluating various dataflow alternatives....

Energy-Efficient Time-Division Multiplexed Hybrid-Switched NoC for Heterogeneous Multicore Systems

Northup: Divide-and-Conquer Programming in Systems with Heterogeneous Memories and Processors

In-Network Memory Access Ordering for Heterogeneous Multicore Systems

CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

MMG: Manipulation-Aware Holistic Human Motion Generation from Sparse Tracking Signals

Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design

LEGOSim: A Unified Parallel Simulation Framework for Multi-chiplet Heterogeneous Integration

QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features

Energy-efficient non-minimal path on-chip interconnection network for heterogeneous systems

NoC frequency scaling with flexible-pipeline routers

Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators

FlexAcc: Accelerating Batch Normalization through GPU-FPGA Integration

DPAcc: An FPGA-based Differential Privacy Acceleration Framework

CAMC: A Multi-Chiplet Accelerator With Heterogeneous Memory-Based Computing Architecture For DNN Training

CompoundEye: A 0.24-4.17 TOPS Scalable Multi-Node DNN Processor for Image Recognition

Modular Routing Design for Chiplet-Based Systems