… using the block Lanczos algorithm [2] to solve multiple solutions … this method accelerates the
convergence behavior based on … In this thesis work, the parallel implementation of the block …

… or sparse linear equation solvers for GPU architectures to carry … indicate that GPU acceleration
of sparse symmetric solvers would … A shifted block Lanczos algorithm for solving sparse …

… Nvidia introduces series of accelerating cards for researchers to make their application
parallel and solve … system and Block Lanczos for sparse systems leverages parallel hardware …

… Our method accelerates both operations using two levels of … Second, each process uses
SIMD/GPU accelerators locally to … Each node is equipped with four GPUs, a setup amenable to …

… deciding on using a parallel iterative solver, more specifically… [14] provide abstract models
for parallel execution of custom … devices (CPUs, GPUs, and other acceleration devices) in an …

… on multiple GPUs and perform distributed-memory parallel … Because each GPU on Cori
GPU has 16 GB high bandwidth … of GPUs (and an appropriate number of nodes) to solve the …

… massively parallel PCG solver applied to finite element analyses of heat conduction and linear
elasticity on image-based … of personal-use GPUs for large-scale simulations. The resulting …

… packages that implement parallel eigenvalue solvers for dense … The shared-memory solutions
are commonly based on the … GPU-specific models (CUDA, OpenCL) for GPU acceleration. …

… with the acceleration of a filter based on Chebyshev … To our knowledge, though numerous
solvers for dense eigen… algebra operation in the Filter, Lanczos and Resid is HEMM. …

… In this work, we introduce a novel Top-K GPU eigensolver for … Lanczos vector becomes the
input of the SpMV. We prevent … “Accelerating the explicitly restarted arnoldi method with gpus …