Power flow analysis is critical for power systems due to the development of multiple energy
supplies. For safety, stability, and real-time response in grid operation, grid planning, and …

Spin-transfer torque random access memory (STT-RAM), as a promising nonvolatile
memory technology, faces challenges of high write energy and low density. The recently …

The sparse matrix solver by LU factorization is a serious bottleneck in Simulation Program
with Integrated Circuit Emphasis (SPICE)-based circuit simulators. The state-of-the-art …

The sparse matrix solver has become a bottleneck in simulation program with integrated
circuit emphasis (SPICE)-like circuit simulators. It is difficult to parallelize the solver because …

Lower upper (LU) factorization for sparse matrices is the most important computing step for
circuit simulation problems. However, parallelizing LU factorization on the graphic …

Editor's note: Many scientific computing problems, including circuit simulations, rely on
efficient lower-upper (LU) decomposition of sparse matrices. Prior studies took advantage of …

Graphics processing unit (GPU) has been applied successfully in many scientific computing
realms due to its superior performances on float-pointing calculation and memory …

A number of sparse linear systems are solved by sparse LU factorization in a circuit
simulation process. The coefficient matrices of these linear systems have the identical …

Sparse solver has become the bottleneck of SPICE simulators. There has been few work on
GPU-based sparse solver because of the high data-dependency. The strong data …

LU factorization for sparse matrices is an important computing step for many engineering
and scientific problems such as circuit simulation. There have been many efforts toward …