We investigate how processors and specialized accelerators can become faster, more energy efficient, more secure, and easier to design—while giving students the tools to turn research ideas into working systems.
We study computing across architecture, accelerators, VLSI implementation, and hardware–software interfaces.
Microarchitecture, speculative execution, memory systems, performance analysis, and emerging processor designs.
Efficient hardware for machine-learning workloads, sparse computation, dataflows, and accelerator architectures.
RTL-to-GDSII design, timing closure, placement and routing, methodology, and implementation-aware research.
Joint optimization of workloads, compilers, architectures, and hardware implementations for end-to-end efficiency.
Selected HICOAR projects connect architecture questions with real hardware and system-level constraints.
Exploring techniques that improve performance while controlling energy, complexity, and recovery overheads.
Exploring techniques that improve performance while controlling energy, complexity, and recovery overheads.
Exploring techniques that improve performance while controlling energy, complexity, and recovery overheads.
Coursework connects circuit implementation, digital design, and architectural thinking.
Add the course description, semester, level, and a link to course materials here.
Course details ↗Add another course offered by the lab, department, or collaborating faculty.
Course details ↗Structured internships give students direct experience with processors, accelerators, and implementation flows.
The training was related to RISCV processor design.
Training details ↗Students were trained on RISCV processor design, ML/AI accelerators, RTL to GDS Flow for CROC chip using OPENLANE, and end-to-end framework for RTL to GDS flow.
Training details ↗Faculty leadership, graduate researchers, alumni, and undergraduate students working across HICOAR.
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Research topic / project
Replace these placeholders with your papers, preprints, code, slides, and awards.
Use this for paper acceptances, awards, student milestones, talks, tapeouts, and openings.
Welcome to the new home of our research, projects, publications, and student opportunities.
We welcome motivated students interested in architecture, VLSI, FPGA systems, and AI hardware.
Projects are being developed around efficient computing and intelligent hardware design.
Highlight seminars, workshops, research talks, student presentations, lab visits, and other HICOAR activities here.
A workshop was conducted that enabled participants to write design in HDL and verify it through simulation and on the FPGA.
A student-led discussion exploring recent and impactful research papers from the IEEE MICRO.
We are looking for students who enjoy building, measuring, experimenting, and asking difficult questions about future computing systems.
For research collaboration, student opportunities, courses, and lab activities.
HICOAR Lab
Ibn Ul Haitham Computer Architecture Research Lab
HICOAR LAB, 2nd Floor, Electrical Engineering Department, University of Engineering and Technology, Lahore.