Full System-level Simulation of Neural Compute
il y a 1 jour
Master projects/internships - Leuven | Just now- Enabling architectural exploration of NPU-enabled systems-
In order to properly assess the performance of various NPU architectures as well as enable architectural exploration of future NPU architectures, we aim to build a cycle-accurate NPU model into existing full system simulation infrastructure. During this research internship, you will examine publicly available NPU designs and implement the aforementioned cycle-accurate NPU model into the premier computer architecture simulator, gem5.
Key responsibilities will include:
- Researching and learning about state-of-the-art NPU-enabled systems for AI inference.
- Developing a cycle-accurate, extensible, and tunable NPU model with sub-models for underlying accelerators and memory.
This role is ideal for someone who is deeply interested in hardware-software codesign, computer architecture, and working in an interdisciplinary environment that values innovation, creativity, and real-world impact.
**Profile**: You are analytical and detail-oriented, with a strong interest in system simulation and hardware-software codesign. You are adept at or have a keen interest in programming and performance evaluation tools.
**Background**: You have or are currently pursuing a degree in computer engineering, computer science, or electrical engineering. Knowledge of object-oriented programming, scripting languages, gem5, and memory simulators is an advantage.
**Type of Project**: Internship; Thesis; Combination of internship and thesis
**Master's degree**: Master of Engineering Technology; Master of Science; Master of Engineering Science
**Master program**: Computer Science; Electrotechnics/Electrical Engineering
**Duration**: 6 - 12 months
**Supervisor**: Chris Van Hoof
Imec allowance will be provided.
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