Research Topics
FACT’s research areas include VLSI Design, Electronic Design Automation, Computer Architecture, Compiler Design, Programming Languages, and Systems Design. Specifically, recent research projects focus on technology-driven and application-driven design and architectural innovations. The technology-driven research projects include EDA/architecture for emerging memory technologies and 3D integrated circuits, hardware security, heterogeneous computing with CPU/GPU/FPGA, AI-powered EDA programs, and AI-assisted hardware design methodologies. The application-driven research projects include novel architectures for machine learning acceleration, neuromorphic computing, large language model hardware accelerators, and hardware acceleration for emerging applications such as bioinformatics, graphics analytics, and VR/AR.
Lab Compute Resources
(specs are shown for each nodes)
4x Nvidia HGX-Like Nodes
- 8x Nvidia H20 80GB GPUs
- 2x AMD EPYC 9654 CPUs (192C/384T in total)
- 1TB DDR5 Memory
- 8x 4TB PCIe 5.0 NVMe SSDs
- 8x 200Gb/s Infiniband HDR
2x GPU Dev/Debug Nodes
- 8x Nvidia L20 48GB GPUs
- 2x AMD EPYC 9654 CPUs (192C/384T in total)
- 512GB DDR5 Memory
2x EDA Nodes
- 2x AMD EPYC 9684-X CPUs with 3D-VCache
- 2TB DDR5 Memory
- 2x 4TB PCIe 4.0 NVMe SSDs
2x High-Availability VM Service Nodes
- 1x AMD EPYC 9453P CPUs
- 256GB DDR5 Memory
2x Cold Storage and Backup Nodes
- 1x AMD EPYC 9124 CPUs
- 128GB DDR5 Memory
- 8x Exos X18 18TB HDDs
Software
- Workload Manager: Slurm, Kubernetes
- OS: RHEL 9
- File System: Ceph
- Virtualization: VMWare vSphere
- Virtual Desktop: VMWare Horizon
