/Enabling workload-driven novel system-level reconfiguration methods leveraging system technology co-optimisation

Enabling workload-driven novel system-level reconfiguration methods leveraging system technology co-optimisation

Master projects/internships - Leuven | More than two weeks ago

Help us to define the next generation of reconfigurable systems!

With the increasing diversity of domains using AI/ML-based applications, there is an increasing diversity of workload requirements from electronic systems. While heterogeneous computing systems (CPU, GPU, and NPU accelerators) provide some level...     With the increasing diversity of domains using AI/ML-based applications, there is a growing diversity of workload requirements from electronic systems. While heterogeneous computing systems (CPU, GPU, and NPU accelerators) provide some level of optimization, the static nature of computation, communication, and memory elements limits the level of utilization for emerging workloads. Similarly, state-of-the-art reconfigurable systems (FPGAs, CGRAs, etc.) focus on runtime reconfiguration targeted at functionality modifications only.
 
The student will be working on a workload-aware system-level exploration framework. The project will involve identifying system-level designs that can leverage existing reconfigurable technologies, across computation, communication, and memory, to provide optimized PPAC (power, performance, area, and cost) trade-offs for a set of workloads.

Type of work: 30% literature survey to gain an understanding of the landscape of technology innovations and stat-of-the-art reconfigurable technologies. 70% hands-on modelling and framework development for driving the design and exploration of technology-architecture co-design.

Type of project: Combination of internship and thesis; Internship     

Required background: Electrotechnics/Electrical Engineering with knowledge of computer architecture, computing system platforms, and electronic system design.

Master's degree: Master of Engineering Technology; Master of Engineering Science 

Duration: 6-9 months 

For more information or application, please contact Siva Satyendra Sahoo (siva.satyendra.sahoo@imec.be)

 

Imec allowance will be provided for students studying at a non-Belgian university.

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