Project cooperationUpdated on 24 March 2025
RISC-V GPU Design
About
Graphics Processing Units (GPUs) have evolved into versatile hardware for general-purpose parallel computing (GPGPU) with advancements like CUDA and OpenGL APIs. The growing demand for GPUs, fueled by applications like AR, VR, AI and gaming, is projected to reach almost 207 billion dollars by 2029. Research at TUBITAK BILGEM’s Integrated Circuit Design and Training Laboratory led to Mercek, a GPGPU that implements the I-M-A-F-V extensions of RISC-V ISA and POCL for compiling OpenCL kernels to RISC-V binaries, aiming to achieve multi-core multi-thread structure. The initial design is implemented with a single core, single texture unit, 8 thread with 2 level cache on Nexys A7-100T. Functional performance was verified at 50 MHz, and 3D models with textures were rendered successfully. For ASIC implementation Mercek is synthesized with TSMC 16nm technology at 1.5 GHz using Synopsys Fusion Compiler Tool. In the next phases of the project, we aim to create a SoC that includes both our in-house GPU-based AI accelerator as well as high-performance CPU cores.
Stage
- Planning (Concept)
Call
- AI & Data & Robotics
- Computing Technologies
Type
- R&D Partner
- Technical Partner
- Coordinator
- Dissemination & Exploitation Partner
Organisation
Similar opportunities
Project cooperation
Secure Edge Computing Connected Device (SECCD)
- R&D Partner
- Coordinator
- Technical Partner
- Digital Health Data
- AI & Data & Robotics
- Smart Urban Mobility
- Computing Technologies
- Safety and Resilience
- Advanced (Core Consortium exists)
- Digital Solutions and Digitalization
- Dissemination & Exploitation Partner
- Innovative, Sustainable, and High-Quality Healthcare
- Connected, Cooperative and Automated Mobility (CCAM)
- Artificial Intelligence (AI) based Tools and Technologies
Berna Örs Yalçın
Prof. Dr. at Istanbul Technical University
İstanbul, Türkiye
Product
VeST-AVe - Test and Demonstration Site for CCAM
- Smart Urban Mobility
- Safety and Resilience
- Computing Technologies
- AI & Data & Robotics
- Multimodal Transport, Infrastructure, and Logistics
- Connected, Cooperative, and Automated Mobility (CCAM)
- Artificial Intelligence (AI)-based Tools and Technologies
Mujdat Soyturk
Professor at Marmara University - VeNIT Lab
Istanbul, Türkiye
Product
- Digital Health Data
- Digital Solutions and Digitalization
- Artificial Intelligence (AI)-based Tools and Technologies
Kubilay Doğan Kılıç
Post Doctoral Researcher at Ege Üniversitesi
Izmir, Türkiye