ZMCintegral-v5: Support for Integrations with the scanning of large parameter space on multi-GPUs

Zhang, Jun-Jie; Wu, Haohao

doi:10.1016/j.cpc.2020.107240

Cited by 13 publications

(7 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper we use the ZMCintegral package [99,100] which has been applied to calculation of high dimensional integrals in heavy ion collisions [101].…”

Section: Numerical Resultsmentioning

confidence: 99%

Lepton pair production in ultra-peripheral collisions

Wang,

Pu,

Wang

2021

Preprint

View full text Add to dashboard Cite

The lepton pair production in ultra-peripheral collisions (UPC) is studied in the classical field approximation. We derive a general form of the cross section in terms of photon distributions which depend on the transverse momentum and coordinate based on the wave packet form of nuclear wave functions. Such a general form of the cross section in the classical field approximation contains the results of the generalized equivalent photon approximation (EPA) as well as the corrections beyond EPA in the Born approximation. By rewriting the general form of the cross section in light-cone coordinates, we find a good connection with the transverse momentum dependent distribution (TMD) factorization formalism in the Born approximation. Our numerical results are consistent with current experimental data.

show abstract

“…In this paper we use the ZMCintegral package [99,100] which has been applied to calculation of high dimensional integrals in heavy ion collisions [101].…”

Section: Numerical Resultsmentioning

confidence: 99%

Lepton pair production in ultra-peripheral collisions

Wang,

Pu,

Wang

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In the current work, we have provided an implementation of the Jefimenko's equations on GPU based on our previous works [23,24,25]. Our code gives stable and accurate results compared with the theoretical calculations.…”

Section: Discussionmentioning

confidence: 99%

“…In this regard, we have applied the Jefimenko's equation on the state-ofart GPU based on our previous work ZMCintegral [24,25] and RBG [23]. Our present code mainly contributes to the field of Heavy-Ion collisions [26,27,28,29] where the electromagnetic fields in the early time significantly influence the evolution of the quark-gluon matter.…”

Section: Introductionmentioning

confidence: 99%

JefiGPU: Jefimenko's Equations on GPU

Zhang,

Chen,

Peng

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

We have implemented a GPU version of the Jefimenko's equations -Je-fiGPU. Given the proper distributions of the source terms ρ (charge density) and J (current density) in the source volume, the algorithm gives the electromagnetic fields in the observational region (not necessarily overlaps the vicinity of the sources). To verify the accuracy of the GPU implementation, we have compared the obtained results with that of the theoretical ones. Our results show that the deviations of the GPU results from the theoretical ones are around 5%. Meanwhile, we have also compared the performance of the GPU implementation with a CPU version. The simulation results indicate that the GPU code is significantly faster than the CPU version. Finally, we have studied the parameter dependence of the execution time and memory consumption on one NVIDIA Tesla V100 card. Our code can be consistently coupled to RBG (Relativistic Boltzmann equations on GPUs) and many other GPU-based algorithms in physics.

show abstract

“…First, the collision terms are high dimensional integrals. In this work, we use the package ZMCintegral 5.0 [94,95] to perform these high dimensional collisional integrals. ZMCintegral is an open-source Python package developed by some of the authors in this work.…”

Section: Our Numerical Frameworkmentioning

confidence: 99%

Towards a full solution of the relativistic Boltzmann equation for quark-gluon matter on GPUs

Zhang

et al. 2020

Phys. Rev. D

Self Cite

View full text Add to dashboard Cite

Many studies for nonequilibrium systems, e.g., the pre-equilibration puzzle in heavy-ion collisions, require solving the relativistic Boltzmann equation (BE) with the full collisional kernel to high precision. It is challenging to solve relativistic BE due to its high dimensional phase-space integrals and limited computing resources. We have developed a numerical framework for a full solution of the relativistic Boltzmann equations for the quark-gluon matter using the multiple graphics processing units (GPUs) on distributed clusters. Including all the 2 → 2 scattering processes of 3-flavor quarks and gluons, we compute the time evolution of distribution functions in both coordinate and momentum spaces for the cases of pure gluons, quarks, and the mixture of quarks and gluons. By introducing a symmetrical sampling method on GPUs which ensures the particle number conservation, our framework is able to perform the space-time evolution of quark-gluon system toward thermal equilibrium with high performance. We also observe that the gluons naturally accumulate in the soft region at the early time, which may indicate the gluon condensation.

show abstract

ZMCintegral-v5: Support for Integrations with the scanning of large parameter space on multi-GPUs

Cited by 13 publications

References 14 publications

Lepton pair production in ultra-peripheral collisions

Lepton pair production in ultra-peripheral collisions

JefiGPU: Jefimenko's Equations on GPU

Towards a full solution of the relativistic Boltzmann equation for quark-gluon matter on GPUs

Contact Info

Product

Resources

About