The Sparse Matrix-Vector Multiplication (SpMV) kernel dominates the computing cost in
numerous scientific applications. Many implementations based on different sparse formats …

In this paper, we present the first algorithm for computing threshold ILU factorizations on
GPU architectures. The proposed ParILUT-GPU algorithm is based on interleaving parallel …

MAGMA (Matrix Algebra for GPU and Multicore Architectures) is a pivotal open-source
library in the landscape of GPU-enabled dense and sparse linear algebra computations …

We illustrate how the distributed parallel Algebraic Recursive Multilevel Solver based on
MPI can be adapted for heterogeneous CPU/GPU architectures. The tasks performed on the …

A key concern in the field of scientific computation is the convergence of numerical solvers
when applied to large problems. The numerical workarounds used to improve convergence …

使用计算流体力学(Computational Fluid Dynamics, CFD) 数值方法对熔盐堆堆芯的流动和
热传导等相关物理问题进行模拟求解, 需要大量的计算时间. 利用图形处理器(Graphics …

In this PhD thesis, we address three challenges faced by linear algebra solvers in the
perspective of future exascale systems: accelerating convergence using innovative …

Samuel Antao1, Charles Moulinec2, Yvan Fournier3, Robert Sawko1, Malgorzata Zimon1,
Christopher Thompson1, Alex Skillen2, Juan U Page 1 GPU Acceleration at Scale with …

The continued development of improved algorithms and architecture for numerical
simulations is at the core of increased computational performance and, therefore, the ability …

A widening gap exists between the peak performance of high-performance computers and
the performance achieved by complex applications running on these platforms. Over the …