Post-Doctoral Research Visit F/M Dynamic Parallelization of Sparse Codes for High-Performance Computing and Machine Learning
Inria · Lyon
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Delay dense-code specialization to runtime when sparse structure is known.
- Optimize sparse tensor kernels for high-performance computing and machine learning.
- Join Lyon's LIP lab under France's Exascale PEPR NumPEx research program.
Ideal candidate
A curious early-career researcher with a doctoral background who loves tackling irregular parallelism challenges and turning ideas into prototypes, experiments, and publications across HPC and machine learning.
Requirements
- Notions in compilers, parallelism, parallel architectures and parallel runtimes
- Experience with C++
- English language proficiency
- French language proficiency
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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