High performance computing challenges for research and industrial simulation codes

Raphaël Poncet (1)

1 DAM/DIF - DAM Île-de-France

Computing hardware, from mobile devices to supercomputer clusters, is undergoing a paradigm shift : with the advent of multicore CPUs and accelerators (GPUs, Intel Xeon Phi), parallelism is becoming hierarchical, ubiquitous, heterogeneous, and more and more complex. Performance critical applications need new programming models to exploit efficiently such architectures. Guided by Herb Sutter analysis ([1], [2]) we draw practical conclusions for the design of future simulation codes, and the optimization of legacy codes.

Mots clés: High Performance Computing; GPGPU; parallel computing; software development; legacy codes

Domaines: Analyse numérique [math.NA]; Mécanique [physics]; Sciences de l'ingénieur [physics]

Raphaël Poncet. High performance computing challenges for research and industrial simulation codes. 2nd ECCOMAS Young Investigators Conference (YIC 2013), Sep 2013, Bordeaux, France. ⟨hal-00855832⟩