Research Engineer (Compilation/Hpc)

Detalhes da Vaga

Inria, the French national research institute for the digital sciences
Organisation/Company: Inria, the French national research institute for the digital sciences
Research Field: Computer science
Researcher Profile: First Stage Researcher (R1)
Country: France
Application Deadline: 3 Dec 2024 - 23:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 38.5
Offer Starting Date: 1 Jan 2025
Is the job funded through the EU Research Framework Programme? Horizon 2020
Reference Number: 2024-08312
Is the Job related to staff position within a Research Infrastructure? No
Offer Description The engineer will join the INRIA CAMUS team, located at University of Strasbourg in the ICube Laboratory, on the Illkirch Campus very close to Strasbourg.
[S]he will be participating in the MICROCARD-2 European project (microcard.eu), specifically in Work Package 4 (WP4): code optimization and hardware adaptation. The supervisors are Vincent Loechner (MCF) and Stéphane Genaud (PROF), and a postdoc will also be recruited in this project. The MICROCARD-2 EuroHPC Center of Excellence follows the MICROCARD EuroHPC project that ran from April 2021 to September 2024.
Authoring research papers will be possible in collaboration with the rest of the team.
Salary: about 2450€/month (gross), depending on experience. Max duration: 30 months.
The engineer will participate in a high-level compiler project that builds a bridge from a model representation convenient for cardiac simulation experts to an optimized parallel code using the MLIR compiler environment of LLVM.
This compiler has been developed as part of the MICROCARD(1) European project and it exploits both specific target architecture information and properties of the scientific problem (computation patterns, resilience to approximation) to generate efficient parallel vectorized CPU and GPU codes. Efficiency was assessed both in terms of execution time and energy consumption. Our strategy is to rely on a dedicated compiler front end and on new research extending state-of-the-art code generation and runtime techniques to statically and dynamically optimize this application.
In the MICROCARD-2 project, we will specifically focus on:
Efficient code generation for new and future HPC processors (ARM-SVE, RISC-V, EPI family of processors and accelerators, ...)
Low-precision optimizations: some parts of the code can use lower precision computations than the standard 'double' floating-point; the goal is to identify and automatically generate code that takes advantage of single or even half precision floating point. Another promising path is the use of fixed-point arithmetics, that needs to be implemented and tested.
Benchmarking: conceive, maintain, and distribute benchmarks to assess performance portability of our optimizations on our CI/CD.
In collaboration with the local and external members of the MICROCARD project, the main activities include:
Participating in the development of the openCARP software, our Cardiac Electrophysiology Simulator development platform (opencarp.org);
Developing and extending the MLIR compiler front-end to generate code targeting heterogeneous parallel architectures, using OpenMP and GPU dialects, and domain-specific properties of the code;
Performing non-regression tests and validating our developments in collaboration with the other European partners of the project.
High-performance and cluster computing (vectorization, GPU, energy efficiency)
Basic knowledge of linear algebra
Maintaining open source software
Troubleshooting, debugging, continuous integration
Technical documentation
Specific Requirements Communication (language: English required, French optional): you will constantly work with the other members of the team and discuss with the other participants of the MICROCARD project
Team player
Scientific curiosity
Skilled and proactive programmer
Languages:
French: Basic
English: Good
Additional Information From 2450€ gross/month according to experience

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Salário Nominal: A acordar

Fonte: Allthetopbananas_Ppc

Função de trabalho:

Requisitos

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