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Research
Research
Our main research area includes computer system, computer architecture, microprocessor, and system-on-chip (SoC) design, and hardware security. These research topics are being actively studied in the industry as well as academia.
AI/ML System and Hardware Accelerator Design
Heterogeneous System Design
Memory Streaming Acceleration for Embedded Systems with CPU-Accelerator Cooperative Data Processing [MICPRO 2019]
Memory Streaming Acceleration for Embedded Systems with CPU-Accelerator Cooperative Data Processing [MICPRO 2019]
CPU-Accelerator Co-Scheduling for Memory Streaming
HW/SW Co-Design and Implementation (FPGA implemented and verified)
A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms [ICPADS 2019]
A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms [ICPADS 2019]
DNN Training Framework with Heterogeneous Platforms
Pre-Training-Based Estimation and Optimization (Real platform implemented and verified)
Computer Architecture and Cache Design
Near-Threshold L1 Data Cache for Yield Management under Process Variations [IEEE Access 2020]
Near-Threshold L1 Data Cache for Yield Management under Process Variations [IEEE Access 2020]
Variable Latency-Based Cache Architecture
Yield-Aware Near-Threshold L1 Data Cache
An Efficient Trade-Off between Yield and Energy for eDRAM Caches under Process Variations [MICPRO 2017]
An Efficient Trade-Off between Yield and Energy for eDRAM Caches under Process Variations [MICPRO 2017]
Yield-Aware eDRAM Cache Architecture
Variable Data Retention Time-Aware Cache Architecture
Miscellaneous
Hardware Security
Hardware Security
- "Security Issues in Situational Awareness: Adversarial Threats and Mitigation Techniques", IEEE Security & Privacy, 2022
- "Memory and Cache Contention Denial-of-Service Attack in Mobile Edge Devices", MDPI Applied Sciences, special issue: Methods and Architectures for Dependability of Embedded or Integrated Systems, 2021.
- "PUFatt: Embedded Platform Attestation Based on Novel Processor-Based PUFs", Design Automation Conference (DAC), June 2014.
Low-Power and Thermal-Aware Computer System
Low-Power and Thermal-Aware Computer System
- "Characterizing the Thermal Feasibility of Monolithic 3D Microprocessors", IEEE Access
- "An Adaptive Thermal Management Framework for Heterogeneous Multi-core Processors", IEEE Transactions on Computers
- "A Survey on Recent OS-level Energy Management Techniques for Mobile Processing Units", IEEE Transactions on Parallel and Distributed Systems
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