Three dimensional particle-in-cell laser-plasma simulation is an important area of computational physics. Solving state-of-the-art problems requires large-scale simulation on a supercomputer using specialized codes. A growing demand in computational resources inspires research in improving efficiency and co-design for supercomputers based on many-core architectures. This paper presents first performance results of the particle-in-cell plasma simulation code PICADOR on the recently introduced Knights Landing generation of Intel Xeon Phi. A straightforward rebuilding of the code yields a 2.43 x speedup compared to the previous Knights Corner generation. Further code optimization results in an additional 1.89 x speedup. The optimization perfor...
We present initial comparison performance results for Intel many integrated core (MIC), Sandy Bridge...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
International audienceWe present a first-of-kind mesh-refined (MR) massively parallel Particle-In-Ce...
This paper concerns the development of a high-performance implementation of the Particle-in-Cell met...
This paper presents experimental results of Particle-in-Cell plasma simulation on a hybrid system wi...
Recent increases in supercomputing power, driven by the multi-core revolution and accelerators such ...
The generation of energy-efficient parallel scientific codes became very important in the time of ca...
Particle-in-cell (PIC) simulations are some of the most computationally intensive calcula-tions carr...
In this session we show, in two case studies, how the roofline feature of Intel Advisor has been uti...
This thesis discusses how to optimize computational physics software for speed through maximizing th...
We have been developing an advanced scientific code called "ARTED" for an electron dynamics simulati...
Particle in cell simulations represent an excellent paradigm for codesign efforts. PIC codes are sim...
The goal of the extreme scale plasma turbulence studies described in this paper is to expedite the d...
Brain modeling has been presenting significant challenges to the world of high-performance computing...
International audienceThe current generation of the Xeon Phi Knights Landing (KNL) processor provide...
We present initial comparison performance results for Intel many integrated core (MIC), Sandy Bridge...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
International audienceWe present a first-of-kind mesh-refined (MR) massively parallel Particle-In-Ce...
This paper concerns the development of a high-performance implementation of the Particle-in-Cell met...
This paper presents experimental results of Particle-in-Cell plasma simulation on a hybrid system wi...
Recent increases in supercomputing power, driven by the multi-core revolution and accelerators such ...
The generation of energy-efficient parallel scientific codes became very important in the time of ca...
Particle-in-cell (PIC) simulations are some of the most computationally intensive calcula-tions carr...
In this session we show, in two case studies, how the roofline feature of Intel Advisor has been uti...
This thesis discusses how to optimize computational physics software for speed through maximizing th...
We have been developing an advanced scientific code called "ARTED" for an electron dynamics simulati...
Particle in cell simulations represent an excellent paradigm for codesign efforts. PIC codes are sim...
The goal of the extreme scale plasma turbulence studies described in this paper is to expedite the d...
Brain modeling has been presenting significant challenges to the world of high-performance computing...
International audienceThe current generation of the Xeon Phi Knights Landing (KNL) processor provide...
We present initial comparison performance results for Intel many integrated core (MIC), Sandy Bridge...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
International audienceWe present a first-of-kind mesh-refined (MR) massively parallel Particle-In-Ce...