1: A paper for MPACK (0.6.4) in Japanese has been uploaded.Now 100 MLAPACK routines, and license has been changed to 2-caluse BSD style license. 0: MPACK 0.6.7! Includes condition number estimators Rgecon and Rpocon.Unforutnately paper are rejected, so please wait. 4: Rgemm accleration on NVIDIA C2050 GPU is coming.Even though papers are not published, you can just try by "make". 8: Rgemm accleration in double-double precision on NVIDIA C2050 GPU is now available.6: Development has been migrated to SVN repository.Origial release announce is here., and preprint is available from here, and it will be presented at The Third International Conference on Networking and Computing Okinawa, Japan, December 5-7, 2012. ![]() 3: CUDA 4.2 or later version of accelarated Rgemm in double-double precision on NVIDIA C2050 GPU is now available.9: MPACK 0.8.0-RC1 CUDA version of Rgemm in double-double precision is integrated.5: Our Rgemm dd paper "A Fast implementation of matrix-matrix product in double-double precision on NVIDIA C2050 and application to semidefinite programming" is selected as the Best Papers of The Third International Conference on Networking and Computing.0: MPACK 0.8.0-RC2 Build fixes on various platforms.5: MPACK 0.8.0 NVIDIA C2050 support for Rgemm in double-double, and preliminary support for Intel Xeon Phi.Huge improvement all real LAPACK routines are available SVD, eigenproblem solver for non symmetric matrices are added. This is the release schedule for MPLAPACK 3.0.0 Action This is the release schedule for MPLAPACK 2.0.0 Action Long double = binary128, _Float128 nor _float128 are supported by libquadmath, _Float64x = _float80 = long double ![]() by libc only binary128, _Float64x = long double This is the release schedule for MPLAPACK 1.0.0 ActionĮrrors of eig/Red.in are bit large but ignorable How to build on Linux and Win (using Docker recommended) Windows (64bit mingw64 on Ubuntu with wine64).macOS (Intel) + macports (you may use homebrew instead, small modification of build script req'ed).We use MPFR + MPC as the primary arithmetic class. _Float64x (extended precision of double binary80 Intel CPU only)._Float128 (binary128 via glibc or libquadmath automatically detected).MPFR + MPC and (arbitrary precision with IEEE like rounding mode).Supported multiple precision libraries and floating point formats Generalized Singular Value Decomposition (GSVD).Generalized Nonsymmetric Eigenproblems (GNEP).Generalized Symmetric Definite Eigenproblems (GSEP).Generalized Eigenvalue and Singular Value Problems.Standard Eigenvalue and Singular Value Problems. ![]()
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