The quest for new portable implementations of simulation algorithms is motivated by the increasing variety of computing architectures. Moreover, the hybridization of high-performance computing systems imposes additional ...

The portability of codes has become a major advantage given the continuous development of new architectures for numerical applications, as well as the progressive incorporation of accelerators in modern supercomputers. ...

The essence of turbulence are the smallest scales of motion. They result from asubtle balance between two differential operators differing in symmetry: The convective operator is skew-symmetric, whereas the diffusive is ...

Discrete versions of Poisson’s equation with large contrasts in the coefficients result in very ill-conditioned systems. Thus, its iterative solution represents a major challenge, for instance, in porous media and multiphase ...

The variety of computing architectures competing in the exascale race makes the portability of codes of major importance. In this work, the HPC2 code is presented as a fully-portable, algebra-based framework suitable for ...

The growing variety of computing architectures and the hybridization of high-performance computing systems encourage the research for portable implementations of numerical methods in simulation codes. However, the pursuit ...

Sparse matrix-vector multiplications are essential in the numerical resolution of partial differential equations. However, the sparse matrix-vector product is a strongly memory-bound kernel that suffers from data starving. ...

Massively-parallel devices of various architectures are being adopted by the newest supercomputers to overcome the actual power constraint in the context of the exascale challenge. This progress leads to an increasing ...