What we do
Research
Summary
The research areas of our laboratory target the academic field of computer sciences (CS), especially as shown in the below:
- Computer architecture for high-performance and energy-efficient computing systems
- Emerging computing paradigms, such as quantum computing and artificial intelligence
- Applications and software technologies that fully leverage the capabilities of these computing platforms
Research Topics
Our research interests include, but are not limited to:
- Computer Architecture and High-Performance Computing
- Processor microarchitecture, cache, and memory systems
- Domain-specific and energy-efficient architectures
- Heterogeneous and reconfigurable architectures
- Architectures for HPC systems and data centers
- Performance modeling, evaluation, and code optimization
- Hardware–software co-design and design trade-offs
- Emerging Computing Paradigms
- Machine learning: architectures and applications
- Quantum and simulated annealing: architectures and applications
- Quantum gate-based computing: architectures and applications
- Compute-in-memory (CIM) and near-memory computing
- Architectures based on emerging devices and technologies
Although our current research scope does not cover all of the topics listed above, we actively seek highly motivated students who aspire to advance the frontiers of computing and explore new research directions with us.
Individual Research Topics
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Computer Architecture
Designing and evaluating next-generation high-performance and low-power architectures, accelerators, and memory systems.
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Machine Learning
Machine learning and AI techniques applied to and accelerated by high performance computing systems.
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Quantum Computing
Applications of quantum computing, including quantum algorithms and hybrid quantum-classical high performance computing.