Research
Our research area includes thermal-aware/low-power advanced computing architecture, next-generation memory systems, domain-specific accelerator design (e.g, deep learning), architecture-level thermal modeling, etc. These research topics are being actively studied in the industry as well as academia.
Research Interests
Various Topics in Computer Architecture, Memory Systems, etc.
Advanced Computer Architecture (e.g., Chiplet/2.5D/3D-based Architecture, RISCV, etc.)
Application-specific Performance Optimization
Next-generation Memory (MRAM, ReRAM, PRAM, etc.)
Thermal-aware System Optimization
Advanced Computer ARchitecture
Chiplet-based System Design
TSV (Through-silicon-via)-based 3D Architecture
Monolithic 3D Architecture
Microprocessor ISA Customization/Extension
Next-generation Memory Architecture
STT-MRAM (Spin-Transfer Torque Magnetoresistive RAM)
ReRAM (Resistive RAM)
Hybrid Memory (combining different memory cells in a memory system)
Monolithic 3D-based Memory Integration
Application-specific Computing Systems
Domain-specific Architecture
Processing-in-Memory (PIM)
Application-aware Computing Platform
GPU-based SW Acceleration and Parallelization
Thermal-aware System Optimization
Thermal-aware Microarchitecture Design
Thermal Modeling Methodology
Thermal Sensor Allocation