Modern computing architectures allow for unprecedented levels of parallelization, bringing a much-needed speedup to key scientific applications, such as ever improving numerical simulations and their post-processing, likewise increasingly taxing. We report on optimization techniques used on popular codes for computational astrophysics (FLASH and ECHO) and the performance gained on second-generation Intel Xeon Phi and Xeon Scalable Processors (code-named Knights Landing and Skylake, respectively). We also show how simulation post-processing can largely benefit from HPC methods. We focus specifically on yt (an open source Python package for data analysis and visualization), in which speedups as high as to 4x or 8x with respect to the code...
Modern computer architectures have evolved towards multi-core, multi-socket CPUs. Exploiting optimal...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
In this session we show, in two case studies, how the roofline feature of Intel Advisor has been uti...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
International audienceComputing hardware, from mobile devices to supercomputer clusters, is undergoi...
Three dimensional particle-in-cell laser-plasma simulation is an important area of computational phy...
The computational resources required in scientific research for key areas, such as medicine, physics...
CP2K is an important European program for atomistic simulation for many users of the PRACE Research ...
With the increasing size and complexity of data produced by large scale numerical simulations, it is...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
After a decade where high-end computing was dominated by the rapid pace of improvements to CPU frequ...
There are a number of challenges facing the High Performance Computing (HPC) community, including in...
2012-04-27The shift to many-core architecture design paradigm in computer market has provided unprec...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
PIConGPU is a fully open, community-driven, 3D and 2D3V particle-in-cell code for the age of heterog...
Modern computer architectures have evolved towards multi-core, multi-socket CPUs. Exploiting optimal...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
In this session we show, in two case studies, how the roofline feature of Intel Advisor has been uti...
Since the beginning of the field of high performance computing (HPC) after World War II, there has b...
International audienceComputing hardware, from mobile devices to supercomputer clusters, is undergoi...
Three dimensional particle-in-cell laser-plasma simulation is an important area of computational phy...
The computational resources required in scientific research for key areas, such as medicine, physics...
CP2K is an important European program for atomistic simulation for many users of the PRACE Research ...
With the increasing size and complexity of data produced by large scale numerical simulations, it is...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
After a decade where high-end computing was dominated by the rapid pace of improvements to CPU frequ...
There are a number of challenges facing the High Performance Computing (HPC) community, including in...
2012-04-27The shift to many-core architecture design paradigm in computer market has provided unprec...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
PIConGPU is a fully open, community-driven, 3D and 2D3V particle-in-cell code for the age of heterog...
Modern computer architectures have evolved towards multi-core, multi-socket CPUs. Exploiting optimal...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
In this session we show, in two case studies, how the roofline feature of Intel Advisor has been uti...