Abstract. In this work, we discuss the porting to the GPU platform of the latest production version of the Gyrokinetic Torodial Code (GTC), which is a petascale fusion simulation code using particle-in-cell method. New GPU parallel algorithms have been designed for the particle push and shift operations. The GPU version of the GTC code was bench-marked on up to 3072 nodes of the Tianhe-1A supercomputer, which shows about 2x–3x overall speedup comparing NVIDIA M2050 GPUs to Intel Xeon X5670 CPUs. Strong and weak scaling studies have been per-formed using actual production simulation parameters, providing insights into GTC’s scalability and bottlenecks on large GPU supercomputers
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
This Conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the tr...
The Gyrokinetic Toroidal Code (GTC) uses the particle-in-cell method to efficiently simulate plasma ...
The gyrokinetic Particle-in-Cell (PIC) method is a critical computational tool enabling petascale fu...
The next decade of high-performance computing (HPC) systems will see a rapid evolution and divergenc...
The Gyrokinetic Toroidal code (GTC) (version 2) is a 3D particle-in-cell application developed at th...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
The Gyrokinetic Toroidal Code (GTC) is a global, three-dimensional particle-in-cell application deve...
We present multicore parallelization strategies for the particle-to-grid interpolation step in the G...
Abstract—Conventional programming practices on multicore processors in high performance computing ar...
We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer....
This work presents a general methodology for estimating the performance of an HPC workload when runn...
GENE solves the five-dimensional gyrokinetic equations to simulate the development and evolution of ...
Gyrokinetic codes in plasma physics need outstanding computational resources to solve increasingly c...
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
This Conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the tr...
The Gyrokinetic Toroidal Code (GTC) uses the particle-in-cell method to efficiently simulate plasma ...
The gyrokinetic Particle-in-Cell (PIC) method is a critical computational tool enabling petascale fu...
The next decade of high-performance computing (HPC) systems will see a rapid evolution and divergenc...
The Gyrokinetic Toroidal code (GTC) (version 2) is a 3D particle-in-cell application developed at th...
The gyrokinetic toroidal code at Princeton (GTC-P) is a highly scalable and portable particle-in-cel...
The Gyrokinetic Toroidal Code (GTC) is a global, three-dimensional particle-in-cell application deve...
We present multicore parallelization strategies for the particle-to-grid interpolation step in the G...
Abstract—Conventional programming practices on multicore processors in high performance computing ar...
We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer....
This work presents a general methodology for estimating the performance of an HPC workload when runn...
GENE solves the five-dimensional gyrokinetic equations to simulate the development and evolution of ...
Gyrokinetic codes in plasma physics need outstanding computational resources to solve increasingly c...
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
We have developed a threaded parallel data streaming approach using Globus to transfer multi-terabyt...
This Conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the tr...