Aktuelle Jobs im Zusammenhang mit Distributed Memory Optimization Expert - Zürich, Zürich - Huawei
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Distributed Memory Optimization Expert
vor 1 Woche
As a leading global ICT solutions provider, Huawei is committed to driving innovation and excellence. We are currently seeking highly skilled Postdoctoral Researchers to join our team in the Computing Systems Laboratory and contribute to the development of our optimization-related high-performance computing platform.
The successful candidate will collaborate with Huawei's Theory Lab in Hong Kong to design and develop basic operators that provide functionalities similar to BLAS, SparseBLAS, GraphBLAS, LAPACK, LAGraph, etc., focusing on foundational operators for optimization workloads.
Job Description- Design and implement novel basic operators required for our optimization platform;
- Analyze specific algorithms for basic operators and establish fundamental limits in models of parallel computation;
- Develop highly scalable, efficient, and productive software systems at the foundation of our next-generation optimization platform.
- Ph.D. in Computer Science or related field;
- Strong background in optimization of irregular algorithms, such as graph computations or sparse numerical linear algebra;
- Excellent knowledge of multi-core, many-core programming (e.g., POSIX Threads or OpenMP);
- Distributed-memory programming expertise (e.g., MPI, BSP, or LPF);
- Experience with code generation for high-performance computations or knowledge of their methodologies.
