F. Milano, Power system modelling and scripting, 2010.
DOI : 10.1007/978-3-642-13669-6

P. Simulator, Version 10.0 scopf, 2005.

F. Milano, A python-based software tool for power system analysis, 2013 IEEE Power & Energy Society General Meeting, pp.1-5, 2013.
DOI : 10.1109/PESMG.2013.6672387

M. Simulink and M. Natick, The mathworks, 1993.

I. Nagel, Analog microelectronic emulation for dynamic power system computation, 2013.

S. Talukdar, S. Pyo, and R. Mehrotra, Designing algorithms and assignments for distributed processing Electric Power Research Institute, 1983.

J. Tsitsiklis, Problems in decentralized decision making and computation, DTIC Document, Tech. Rep, 1984.

D. Bertsekas and D. Baz, Distributed Asynchronous Relaxation Methods for Convex Network Flow Problems, SIAM Journal on Control and Optimization, vol.25, issue.1, pp.74-85, 1987.
DOI : 10.1137/0325006

URL : https://hal.archives-ouvertes.fr/hal-01151751

D. Baz, P. Spiteri, J. Miellou, and D. Gazen, Asynchronous Iterative Algorithms with Flexible Communication for Nonlinear Network Flow Problems, Journal of Parallel and Distributed Computing, vol.38, issue.1, pp.1-15, 1996.
DOI : 10.1006/jpdc.1996.0124

URL : https://hal.archives-ouvertes.fr/hal-01152378

S. Xiao and W. Feng, Inter-block gpu communication via fast barrier synchronization, Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on. IEEE, pp.1-12, 2010.

A. Frommer and D. Szyld, On asynchronous iterations, III: Linear Algebra. [Online]. Available, pp.201-216, 2000.
DOI : 10.1016/S0377-0427(00)00409-X

URL : http://doi.org/10.1016/s0377-0427(00)00409-x

D. Chazan and W. Miranker, Chaotic relaxation, Linear Algebra and its Applications, vol.2, issue.2, pp.199-222, 1969.
DOI : 10.1016/0024-3795(69)90028-7

URL : http://doi.org/10.1016/0024-3795(69)90028-7

P. Tseng, D. Bertsekas, and J. Tsitsiklis, Partially Asynchronous, Parallel Algorithms for Network Flow and Other Problems, SIAM Journal on Control and Optimization, vol.28, issue.3, pp.678-710, 1990.
DOI : 10.1137/0328040

B. Lubachevsky and D. Mitra, A chaotic asynchronous algorithm for computing the fixed point of a nonnegative matrix of unit spectral radius, Journal of the ACM, vol.33, issue.1, pp.130-150, 1986.
DOI : 10.1145/4904.4801

A. Newton and A. Sangiovanni-vincentelli, Relaxation-Based Electrical Simulation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.3, issue.4, pp.308-331, 1984.
DOI : 10.1109/TCAD.1984.1270089

M. Marin, Gpu-enhanced power flow analysis Nvidia's next generation CUDA compute architecture: Kepler GK110, Ph.D. dissertation, vol.17, 2012.

S. Collange, Design challenges of GPGPU architectures: specialized arithmetic units and exploitation of regularity Available: https, 2010.

C. Cuda, Programming guide, Nvidia Corporation, 2012.

J. Miellou, D. Baz, and P. Spiteri, A new class of asynchronous iterative algorithms with order intervals Mathematics of Computation of the, pp.237-255, 1998.

T. Davis and E. Palamadai-natarajan, Algorithm 907, ACM Transactions on Mathematical Software, vol.37, issue.3, pp.1-36, 2010.
DOI : 10.1145/1824801.1824814

K. He, S. X. Tan, H. Wang, and G. Shi, GPU-Accelerated Parallel Sparse LU Factorization Method for Fast Circuit Analysis, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, pp.1140-1150, 2016.
DOI : 10.1109/TVLSI.2015.2421287