1. Virtual memory management: Acceleration of virtual to physical address translation, hardware support for OS, management of irregular workloads.
2. High-performance computing architectures: Acceleration of floating-point intensive workloads via reconfigurable or vector processors.
3. Cache management policies for graph and strongly irregular workloads.
4. Numerical libraries for scientific computing with focus on long vector architectures.
Experience in some of these topics is strongly appreciated.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Key Duties
Formulate and evaluate new ideas in a rigorous way
Write technical reports and papers
Use and extend scientific code (Tensorflow, simulators, parallel runtime systems, etc.)
Data de tancament: Dimarts, 15 Octubre, 2024
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