HPC Code Optimizer
il y a 2 jours
About SiPearl
SiPearl is a pioneering company in the field of high-performance computing, developing cutting-edge microprocessors for European supercomputers. Founded in 2019 with the support of the European Union, SiPearl embodies the dream of mastering the technological heart of supercomputers.
Our Mission
We are committed to building a new generation of high-performance, low-power microprocessors dedicated to supercomputing and AI inference. Our goal is to create a European leader in the field of high-performance computing, driving innovation and excellence in this domain.
Our Team
We are a dynamic and diverse team of experts, working together to achieve our mission. Our team includes software engineers, hardware specialists, and researchers, all sharing a passion for innovation and excellence in high-performance computing.
About the Role
In this role, you will work closely with our Software Application Manager to optimize HPC codes, exploiting both SVE vectorization and heterogeneous memories. Your primary responsibility will be to evaluate and optimize the performance of HPC codes, using various vectorization and memory placement strategies.
Key Responsibilities:
- Evaluate and optimize the performance of HPC codes using various vectorization and memory placement strategies.
- Port and optimize the performance of HPC applications and libraries used in HPC codes.
- Compare the relative performance of these applications with various compilers.
Requirements:
- Last year student in a Master or Engineering School.
- Experience with C/C/Fortran programming languages.
- Knowledge of compilers and ARM chips.
- Familiarity with Linux and continuous integration.
- Fluency in English is essential for success in this role, as effective communication is crucial for collaboration and ensuring the seamless execution of responsibilities.
Benefits:
- Internship agreement (End of Studies) contract.
- Meal vouchers (60% covered by SiPearl).
- 3 days paid leave during your Internship.
- On-site work model.
- Duration: from 4 to 6 months.
- Office: This role is open for our Maisons-Laffitte location.
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