Author Archive TEXTAROSSA Project

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TEXTAROSSA hiring: position open at INRIA

PhD Position F/M Optimization of high-performance applications on heterogeneous computing nodes

A PhD position is open in HiePACS, a joint project-team with Bordeaux INP, Bordeaux University and CNRS, and CAMUS, a joint project-team with Strasbourg University and CNRS.

The purpose of the HiePACS project is to efficiently perform frontier simulations arising from challenging research and industrial multiscale applications. The solution of these challenging problems requires a multidisciplinary approach involving applied mathematics, computational and computer sciences. In applied mathematics, it essentially involves advanced numerical schemes. In computational science, it involves massively parallel computing and the design of highly scalable algorithms and codes to be executed on future petaflop (and beyond) platforms. Through this approach, HiePACS intends to contribute to all steps that go from the design of new high-performance more scalable, robust and more accurate numerical schemes to the optimized implementations of the associated algorithms and codes on very high performance supercomputers.

The CAMUS research team focuses on parallelization, optimization, profiling, modeling, and compilation. The team has increasing interests in the approaches used and enhanced in the high-performance community. The team’s research activities are organized into five main issues that are closely related to reach the following objectives: performance, correction and productivity. These issues are: static parallelization and optimization of programs (where all statically detected parallelisms are expressed as well as all “hypothetical” parallelisms which would be eventually taken advantage of at runtime), profiling and execution behavior modeling (where expressive representation models of the program execution behavior will be used as engines for dynamic parallelizing processes), dynamic parallelization and optimization of programs (such transformation processes running inside a virtual machine), object-oriented programming and compiling for multicores (where object parallelism, expressed or detected, has to result in efficient runs), and finally program transformations proof (where the correction of many static and dynamic program transformations has to be ensured).

The objectives of the thesis will be to study how the new features of the TEXTAROSSA computing nodes can be used to develop high performance applications. With this aim, we will study how high performance task-based applications can be adapted in order to exploit the full potential of the platform. We will thus consider two existing high performance libraries by adapting them, designing advanced scheduling strategies and considering energy consumption awareness as a major constraint of the work.

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Press Release

TEXTAROSSA, a project co-funded by the European High Performance Computing (EuroHPC) Joint Undertaking, kicked off on April 1st to drive innovation in efficiency and usability of high-end HPC systems.

TEXTAROSSA (Towards EXtreme scale Technologies and AcceleRatOrS for HW/SW Supercomputing Applications for exascale) is funded by the European High Performance Computing (EuroHPC) Joint Undertaking within the EuroHPC-01-2019/Extreme scale computing and data driven technologies. The three-year project, led by ENEA (Italy), aggregates 17 institutions and companies located in 5 European countries (Italy, France, Poland, Germany and Spain).
The TEXTAROSSA project aims to achieve a broad impact on the High Performance Computing (HPC) field both in pre-exascale and exascale scenarios. The TEXTAROSSA consortium will develop new hardware accelerators, innovative two-phase cooling equipment, advanced algorithms, methods and software products. The developed technologies will be tested on the Integrated Development Vehicles (IDV) mirroring and extending the European Processor Initiative’s ARM64-based architecture, and on an OpenSequana testbed. To drive the technology development and assess the impact of the proposed innovations from node to system levels, TEXTAROSSA will use a selected but representative number of HPC, HPDA and AI applications covering challenging HPC domains such as general-purpose numerical kernels, High Energy Physics (HEP), Oil & Gas, climate modelling, as well as emerging domains such as High Performance Data Analytics (HPDA) and High Performance Artificial Intelligence (HPC-AI).

Read the full press release.

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TEXTAROSSA EU Project

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