Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers
We consider automatic performance tuning of dense symmetric eigenvalue problems using
ATMathCoreLib, which is a library to assist automatic tuning. We deal with two problems …
ATMathCoreLib, which is a library to assist automatic tuning. We deal with two problems …
ChASE: a distributed hybrid CPU-GPU eigensolver for large-scale hermitian eigenvalue problems
As modern massively parallel clusters are getting larger with beefier compute nodes,
traditional parallel eigensolvers, such as direct solvers, struggle keeping the pace with the …
traditional parallel eigensolvers, such as direct solvers, struggle keeping the pace with the …
Scalable eigen-analysis engine for large-scale eigenvalue problems
Our project aims to develop a massively parallel Eigen-Supercomputing Engine for post-
petascale systems. Our Eigen-Engines are based on newly designed algorithms that are …
petascale systems. Our Eigen-Engines are based on newly designed algorithms that are …
[PDF][PDF] Prospectus for the Next LAPACK and ScaLAPACK Libraries: Basic ALgebra LIbraries for Sustainable Technology with Interdisciplinary Collaboration …
The convergence of several unprecedented changes, including formidable new system
design constraints and revolutionary levels of heterogeneity, has made it clear that much of …
design constraints and revolutionary levels of heterogeneity, has made it clear that much of …
High-performance partial spectrum computation for symmetric eigenvalue problems and the SVD
Current dense symmetric eigenvalue (EIG) and singular value decomposition (SVD)
implementations may suffer from the lack of concurrency during the tridiagonal and …
implementations may suffer from the lack of concurrency during the tridiagonal and …
Performance of the parallel block Jacobi method with dynamic ordering for the symmetric eigenvalue problem
S Kudo, K Yasuda, Y Yamamoto - JSIAM Letters, 2018 - jstage.jst.go.jp
We investigate the performance of the parallel block Jacobi method for the symmetric
eigenvalue problem with dynamic ordering both theoretically and experimentally. First, we …
eigenvalue problem with dynamic ordering both theoretically and experimentally. First, we …
Head-eye calibration
M Li, D Betsis - … of IEEE International Conference on Computer …, 1995 - ieeexplore.ieee.org
We deal with the calibration problem of an active head-eye system, which consists of a pair
of cameras mounted on a head with 13 degrees of freedom. The aim of the calibration is to …
of cameras mounted on a head with 13 degrees of freedom. The aim of the calibration is to …
Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
K Ryabinin, G Sarras, W Löffler, M Biermann - International Conference on …, 2024 - Springer
The determination of three-dimensional positions and velocities of stars based on the
observations collected by a space telescope suffers from the uncertainty of random as well …
observations collected by a space telescope suffers from the uncertainty of random as well …
EigenKernel: A middleware for parallel generalized eigenvalue solvers to attain high scalability and usability
K Tanaka, H Imachi, T Fukumoto, A Kuwata… - Japan Journal of …, 2019 - Springer
An open-source middleware named EigenKernel was developed for use with parallel
generalized eigenvalue solvers or large-scale electronic state calculation to attain high …
generalized eigenvalue solvers or large-scale electronic state calculation to attain high …
A case study on modeling the performance of dense matrix computation: Tridiagonalization in the EigenExa eigensolver on the K computer
Modeling the performance of a program is an important task in the field of automatic
performance tuning. These days, performance modeling on a large-scale supercomputer …
performance tuning. These days, performance modeling on a large-scale supercomputer …