This summer school provides students, researchers, faculty members, and early-career engineers with a practical understanding of RISC-V architecture, vector processing, and modern hardware–software co-design methodologies. Participants will explore how the open and extensible RISC-V ecosystem supports embedded systems, high-performance computing, and AI acceleration.
The program combines architectural concepts, accelerator integration, compiler toolchains, firmware development, Linux system bring-up, and MLIR-based AI compilation. Through expert-led lectures and guided practical sessions, participants will gain exposure to the workflows used to design, optimize, and deploy applications on RISC-V and vector-accelerator platforms.
Upon completion of the summer school, participants will be able to:
The summer school is suitable for:
Participants should have:
Prior experience with RISC-V or MLIR is helpful but not mandatory.
Guided practical activities will include:
Director, Centre for AI & Big Data (CAID)
Dr. Tassadaq Hussain is a computer architect with more than 20 years of national and international experience in computer architecture, parallel computing, embedded systems, and hardware–software co-design. He has led the development of processor architectures and software solutions for industrial applications and has extensive experience in research, technology development, project leadership, and professional training.
Quick Facts
Summer School on RISC-V Hardware–Software Co-Design
Registration Fee
Summer School Objective
Learning Outcomes
Who Should Attend
Prerequisites
Tools and Platforms
Practical Sessions
Gallery
Two-Day Agenda & Session Topics
Day 1 – 5 September 2026
Day 2 – 6 September 2026
Lead Trainer
Dr. Tassadaq Hussain Cheema
Registration Process
Open Registration Form



