Research Summary

The Computer Architecture Research Laboratory (CARL@CUT) aims to pioneer innovative solutions at the intersection of hardware design and systems optimization. Our multifaceted research agenda spans high-performance computing architectures that maximize computational throughput while maintaining strict power-performance constraints, alongside novel techniques for energy efficiency that enable sustainable computing at scale. We develop advanced systems for parallel processing and programming paradigms that harness multi-core and many-core capabilities, with a particular focus on open-source RISC-V processor designs and custom extensions. Our lab is at the forefront of specialized AI/ML accelerator design, creating hardware solutions that dramatically improve inference and training performance for deep learning workloads. Additionally, we're exploring the frontier of quantum computing architectures, in particular the compiler and programming toolchains that bridge theoretical quantum algorithms with practical implementation. Through our interdisciplinary approach, we strive to address the fundamental challenges facing next-generation computing systems.

Research Areas

• Computer Architecture
• High-Performance Computing
• Power-Performance Energy Efficiency
• Systems for Parallel Processing & Programming
• RISC-V Processors
• AI/ML Accelerators
• Quantum Computing