a . Description ScaLAPACK is an acronym for Scalable Linear Algebra Package or Scalable LAPACK. a in the relevant subdirectory of . I double checked the parameters and compared with online references to see if the values are correct and I didn't seem to find issues. But if this happens during many bands step of single shot GW (G0W0), then changing ALGO is not possible as for this step exact diagonalization is needed. a worstation which has 1TB RAM and 64 cores with 2 GPU RTX A6000 which gives 96GB. import PyScalapack scalapack = PyScalapack("libscalapack. This ScaLAPACK tutorial begins with a brief description of the LAPACK library. Thank you for finding it out. Options Database Keys#-mat_type scalapack - sets the matrix type to MATSCALAPACK-pc_factor_mat_solver_type scalapack - to use this direct solver with the option -pc_type. Add a comment | 1 I downloaded conda and now it works just fine. Key design features are the use of distributed versions of the Level 3 BLAS as building blocks, and an object-oriented interface to the library routines. scalapack. 1 is now available August 4, 2023. 23) cp SLmake. cfg file. There are two key parts of Spack:In ScaLAPACK, algorithms are presented in terms of processes, rather than physical processors. Like LAPACK, the ScaLAPACK routines are based on block-partitioned algorithms in order to minimize the frequency of data movement between different levels of the memory hierarchy. This article discusses the core factorization routines included in the ScaLAPACK library. USERS Sca/LAPACK is used by most computational simulation codes to provide efficient, easy to use, and reliable numerical dense linear algebra methods. Platform: linux-rhel7-haswell. Install it in /. I am interesting in applying a Cholesky factorization to a SPD huge matrix and then invert it. Abstract. Learning Pathways White papers, Ebooks, Webinars Customer Stories Partners Open Source GitHub Sponsors. Specifically, I recompiled my scalapack software using the impi compilers on the cluster. I am a student and this is my first time using MKL. 0128dc2. edu Zizhong Chen [email protected] for logged out editors learn more. so. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems. ScaLAPACK. I will likely need to expand my SVD to a cluster. On these machines, LINPACK and EISPACK are inefficient because their memory access patterns disregard the multi-layered memory hierarchies. I am interested in solving a banded matrix using LAPACK/ScaLAPACK from a C code. Connect and share knowledge within a single location that is structured and easy to search. It can, and is, being included in commercial packages (e. The authors describe ScaLAPACK, a. This page documents usage of the ScaLAPACK library installed by OSC from source. inc","path":"MPI/scalapack/SLmake. ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. 1 and corresponding MKL version. In the ScaLAPACK routines, all interprocessor communication. Consider appending hdf5 if you want to compile VASP with HDF5 support. ScaLAPACK will run on any machine where both the BLAS and the BLACS are available. These routines include matrix multiplication, factorization (LU, Cholesky, QR, etc. of California, Berkeley; Univ. The packages that provide mkl also provide the narrower virtual blas, lapack, and scalapack packages. About us. EXPND=XNDIM=4 NUM_DIM=2*EXPND !NPROW==1 for a single-process test ALLOCATE (MATTODIAG (XNDIM,XNDIM)) ! MATTODIAG (4,4) Then you pass your MATTODIAG, the Hermitian matrix, to. ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue problems, and singular value problems. 50. For Option (1) MKL works on. ScaLAPACK 2. e. 0 the code base directly includes PBLAS and BLACS and has dropped support for PVM. It is a high-performance numerical linear algebra library designed for use on distributed memory systems. A flexible package manager that supports multiple versions, configurations, platforms, and compilers. 2. Add a description, image, and links to the scalapack topic page so that developers can more easily learn about it. The name ScaLAPACK is an acronym for Scalable Linear Algebra PACKage, or Scalable LAPACK. Community support is provided during standard business hours (Monday to Friday 7AM - 5PM PST). Learn more about Teamsdownload unmodified MUMPS sources from mumps-solver. linalg 或 scipy. Connect and share knowledge within a single location that is structured and easy to search. 0. Thank you for finding it out. 0 Latest. COSMA also contains a wrapper for ScaLAPACK pxgemm calls which offers scalapack interface (pxgemm functions with exactly the same signatures as ScaLAPACK). Those lists are used in the following table, that. 60; the cost for nonmembers is $49. 7 of ScaLAPACK. Keywords. I am looking for a Fortran library that makes it easier to use Scalapack in my projects. 10 Section 2 contains step-by-step installation and testing/timing instructions. 1. include file, specifying the location of the MPI or PVM library, the BLACS library, and the BLAS library. You can run CVF/MPICH builds under Windows x64, but you would likely need a 32-bit system to compile with CVF and link 32-bit MPICH. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. a -l:blacsF77init_MPI-LINUX-0. Its use beyond the build tool is largely responsible for the massive efficiency gains that the engineering organization has come to appreciate. In general there may be several processes on a processor, in which case we assume that the runtime system handles thescheduling of processes. It is a library of high-performance linear algebra routines for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface (MPI). Linear Algebra; Block Size; Message Passing; Mathematical. You have searched for packages that names contain lapack in all suites, all sections, and all architectures. 2. tgz2) cd scalapack-2. It depends on the external libraries BLAS. in Pure Mathematics (2015) @UFJF, D. ScaLAPACK 2. Installation Procedure. 0. For example p?potrf will be the function I am going to use, for performing a Cholesky factorization. include, and append the path to the library libwannier. NSF-OCI-1032861. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue problems, and singular value problems, and is designed to be used in MPI-based parallel applications. 0 Kudos. This ScaLAPACK tutorial begins with a brief description of the LAPACK library. The importance of developing standards for computational and message passing interfaces is discussed. 3 Zoom in: Dense Linear Algebra + FFT LAPACK FFT LU/QR ScaLAPACK CPU support only DPC++/OpenMP offload with GPU support BLAS Level 1. 61. It seems that using Scalapack without anything is very verbose and I was wondering if anyone has packed this into Fortran 2003 objects. 2. For matrices of that size, I'm not sure if you want to use ScaLAPACK at all. Intel added ScaLAPACK support on OS X (MacOS) in 2015. I didn't find on inte. Intel added ScaLAPACK support on OS X (MacOS) in 2015. Found 27 matching packages. By default, the about to be released GCC 10 is more strict about Fortran argument types. Presumably ilcm is from scalapack, not sure what the library name is. Scalapack pdpotrf example, C++ Raw. For example, use module load. For work, lwork, iwork, etc: set lwork=0 and they should be allocated internally by the subroutine as needed, no need to pass them in. This is because I had projects where Scalapack was optional. ScaLAPACK provides most of the functionalities of LAPACK but for distributed memory parallel systems. and/or supported by a large community of users, computing centers, and HPC vendors. 0 %cce@14. 2. In ScaLAPACK, algorithms are presented in terms of processes, rather than physical processors. ScaLAPACK depends on PBLAS operations in the same way LAPACK depends on BLAS. After going to all possible "Introductions" to ScaLapack, I still can't understand how to carry out a simple PDGEMV operation using it. To demonstrate this functionality, here are two sample lists: numbers = [ 1, 2, 3] // python val numbers = List ( 1, 2, 3) // scala. of Colorado Denver; and NAG Ltd. Statistical software are specialized computer programs for analysis in statistics and econometrics. I will figure this out. Sample session: [(it_css:dnairn)@mills scaex]$ vpkg_devrequire scalapack Adding dependency. [petsc-users] installing petsc with scalapack from mkl. Could you tell me please what do I do wrong (I am new with ScaLAPACK)? Thank you and best wishes. To load a particular version, use module load scalapack/version. be sure to select "cluster support" (not default) during installation. LOCp( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ), LOCq( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ). a. Here is what I must do : I have to generate a matrix using . In general there may be several processes on a processor, in which case we assume that the runtime system handles the scheduling of processes. We present the different components and building blocks of. To compile the program using the makefile just type "make" on the terminal. Hi, there: I am not sure which routine is to do the two-Dimensional Block Cyclic Data Distribution. Learning to use them is a basic part of the education of a computational scientist or engineer in many fields and at many academic. gutheil at fz-juelich. ScaLAPACK Routines In this appendix, we review the subroutine naming scheme for ScaLAPACK and indicate by means of a table which subroutines are included in this release. Sparse Solver Routines x. We'll provide a fix for this in a future update. Linear Algebra; Block Size; Message Passing; Mathematical Software; Float. ISBN 0-89871-397-8; The list price for SIAM members is $39. 04LTS) (java): LAPACK numerical subroutines translated from their Fortran 77 source [multiverse] 0. You will need to build a dynamically linked library ( _gpaw. I am trying to do a Cholesky decomposition via pdpotrf () of MKL-Intel's library, which uses ScaLAPACK. makefile. click here to send e-mail to [email protected] will need to look like: packages : all : providers : blas: [blas-package-name] lapack: [lapack-package. The tuned implementations of industry-standard. But CPPScaLapack needs BLACS, PBLAS and ScaLAPACK installed. Programming with Big Data in R fully utilizes ScaLAPACK and two-dimensional block cyclic decomposition for Big Data statistical analysis which is an. 60; the cost for nonmembers is $49. Connect and share knowledge within a single location. 0 release includes a default setting of basic linear algebra communication subprograms (BLACS) [24, 25]. in Computational Modeling (2019) @LNCC and, currently, Research Associate in the department of Mathematical and Statistical Sciences @CUDenver. NVPL ScaLAPACK. All names. algebra routines for distributed memory computers supporting MPI. so ) that the standard Python interpreter can load. Please use any of these. If someone would reply negatively, that would be also OK, since it would stop me for searching. Q&A for work. The development of new high-performance numerical libraries is complex, accounting for the extreme level of parallelism,Getting Help and Support What's New Notational Conventions Overview OpenMP* Offload BLAS and Sparse BLAS Routines LAPACK Routines ScaLAPACK Routines Sparse Solver Routines Graph Routines Extended Eigensolver Routines Vector Mathematical Functions Statistical Functions Fourier Transform Functions PBLAS Routines Partial Differential. The square block scattered decomposition is. The most recent version of ScaLAPACK is 2. I have run spack debug report and reported the version of Spack/Python/Platform. 0 Latest. In general there may be several processes on a processor, in which case we assume that the runtime system handles the scheduling of processes. 09-14-2016 06:11 AM. ScaLAPACK has been tested on MPPs like the IBM SP series, Cray T3E, and SGI Origin 2000/3000, and tested on clusters of PCs and networks of workstations supporting MPI or PVM. I got following linking errors: gfortran -o dsimpletest -O dsimpletest. In our new implementation, descriptor evaluation is. Reviews. i. 2. With compilers that support it, the library can be compiled with long (8-byte) integers instead. MUNGED_33215 caused collective abort of all ranks exit status of rank 0: return code 174 A failure. This guide is intended for developers or administrators who want to package software so that Spack can install it. Q&A for work. Dongarra. 250000 12874. To review, open the file in an editor that reveals hidden Unicode characters. The benchmark results reported herein may need to be revised as additional testing is. example SLmake. such as zgemm(), zgeev(), then you can get familar with the notations in lapack and scalapack. any learning platform, whether traditional lecture or distance-learning; its instruction is so reflective of what comes from lecture, that students will feel as comfortable outside of class as they do insideHi, I am trying to use ScaLAPACK with @ccall to solve a linear system with QR decomposition. The ScaLAPACK 2. To compute the SVD decomposition using KSVD, the polar decomposition is calculated first, then followed by MRRR (--qwmr) or DC (--qwdc) or ELPA-DC (--qwel), as various alternatives for the symmetric eigensolvers. cpp This file contains bidirectional Unicode text that may be. 1. Initalizing the system for use of the ScaLAPACK libraries is dependent on the system you are using and the compiler you are using. Reply. The importance of developing standards for computational and message passing interfaces is discussed. Your question really does not make sense. MPI) libraries • Run your code using the procedure required for the communication primitives library – It is at this stage that you set the number of processors your program will use • For the OSC T3E: module load scalapack f90 prog. You signed in with another tab or window. lib. Run ScaLAPACK tests under CMake by TidbitSoftware » Sun Aug 25, 2019 6:25 pm 0 Replies 8201 Views Last post by TidbitSoftware Sun Aug 25, 2019 6:25 pm; Tests fail because libblas. It examines the building of the ship, life onboard during its maiden voyage, tragic decisions made that fateful night, the discovery ofScaLAPACK . This tutorial will begin by reviewing the fundamental design principles of the BLAS and LAPACK and their influence on the development of ScaLAPACK. de Thu Jul 18 09:07:21 CDT 2013. edu Department of Computer Science and Engineering University of California, Riverside Riverside, CA 92521 ABSTRACT It is well known that soft errors in linear algebra operations can be detected off-line at the end of the computation using. a -L. Level 1 PBLAS I already did all the procedures to install ScaLapack but I think that I have to do some modification in my Makefile in order to compile the example. AOCL-ScaLAPACK is optimized for AMD “Zen”-based processors. lems. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Scalapack es principalmente para sistemas de álgebra lineal intensiva y similar a una tira, que proporciona varios álgebra lineal, como varias operaciones de matriz, descomposición de matrices, ecuaciones lineales, problemas mínimos cuadrados, problemas de emisión, valores singulares, etc. Here's the system I intend to solve: I didn't find on inte. g. Open CMAKE. lawn124 . ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI or PVM. This attempt seems to have died a while ago:poetry add scipy scikit-learn Share. Spack tries to automatically configure packages with information from dependencies such that all you need to do is to list the dependencies (i. h> using namespace. /configure--download-scalapack to install PETSc to use ScaLAPACK. The key ideas incorporated into ScaLAPACK include the use ofModifying a Package’s Build Environment¶. Connect and share knowledge within a single location that is structured and easy to search. I am confused that a call to the ScaLAPACK TOOLS routine SL_INIT initializes the process grid and routine Cblacs_gridinit( &ictxt, "Row", nprow, npcol ) is also for initializing a grid (I saw that in fortran sample code). Introduction. The first part of this paper presents the design of ScaLAPACK. If you’re used to using these methods with lambda expressions in Python, you’ll see that Scala has a similar approach with methods on its collections classes. Learning to use siestaHighly optimized, fast, and complete library of math functions for Intel® CPUs and GPUs. In particular, the failure occurs during the call to the scalapack PDGESV routine (i. To review, open the file in an editor that reveals hidden Unicode characters. SLATE will deliver fundamental dense linear algebra capabilities for current and upcoming distributed-memory systems, including GPU-accelerated systems as well as more traditional multi core-only systems. . The authors describe ScaLAPACK, a distributed memory version of the LAPACK software package for dense and banded matrix computations, key design features are the use of distributed versions of the Level 3 BLAS as building blocks, and an object-oriented interface to the library routines. 3 (C++ Composer XE-2011) but unknown link erroradamjstewart commented on Oct 21, 2016. It is a continuation of the LAPACK [3] project, which designed and produced analogous software for workstations, vector. com documentation a simple example of matrix inversion with ScaLapack. 1. It depends on PVM or MPI. NVPL ScaLAPACK A LAPACK extension designed for distributed memory parallel computing environments. undefined symbol means a library included in headers is not linked to the shared object and that library's symbol cannot be found. 4. libmkl_scalapack_ 00002B79F0934B0F Unknown Unknown Unknown rank 0 in job 10 master. Sorted by: 1. Hello, During linking my c++ project I get erros like below. 02. undefined symbol means a library included in headers is not linked to the shared object and that library's symbol cannot be found. Add a libraries setting to the Extension with all the libraries it requires. 1 Documentation. ScaLAPACK For AMD. In this tutorial we learn how to install scalapack-mpich on CentOS 8. of California, Berkeley; Univ. org, which is much faster and more reliable than the historical France-based MUMPS server that used to go down for hours or days. ucr. -lboost_regex-mt -lboost_unit_test_framework-mt -lboost_program_options-mt -lboost_thread-mt -lboost_regex-mt -lcurl -lxerces-c -ldb2 -lguide -lmkl_intel_lp64 . Generated by. This is done by BLACS and grid setup. Support OpenBLAS with cmake -DLAPACK_VENDOR=OpenBLAS as. cpp -o cpp_mpi_scalapack -L/opt/scalapack/lib/ -lscalapack -L/opt/atlas/lib/ -llapack -lf77blas -lcblas -latlas -lgfortran In ScaLAPACK, algorithms are presented in terms of processes, rather than physical processors. 2. Run the Test Suite (s). Share. Presumably ilcm is from scalapack, not sure what the library name is. Faster transposition in Cyclops is made possible by the HPTT library. I downloaded the example in the official website:FT-ScaLAPACK [11] in particular, is able to on-line locate and correct miscalculations in Cholesky, QR, and LU factorizations. In this tutorial we learn how to install scalapack-common on CentOS 8. Scalable Linear Algebra Package - Dev files for OpenMPI. The Python-based implementations as well as Python bindings to the libMBD C API are accessible from the Python package called pyMBD. Reply. Contributions; Talk; Contents move to sidebar hide (Top) 1 Examples. It is a library of high-performance linear algebra routines for distributed. . Learn more about Teams dec_scalapack. 60; the cost for nonmembers is $49. Hi, there: I am not sure which routine is to do the two-Dimensional Block Cyclic Data Distribution. Learn more about Collectives ScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI or PVM. It seemingly doesn’t find. Your program with ScaLAPACK calls may be compiled with something like this: mpicxx -o your_binary_name -O2 your_source. Sims, of Mobile, Ala. In the absence of such a runtime system, ScaLAPACK assumes one Teams. Stack Overflow. It can be used to solve linear systems, least squares problems, eigenvalue problems, and singular value problems. I am reading the whole matrix in the master node and then distribute it like in this example. 8~dfsg-5: all jammy (22. It assumes matrices are laid. The importance of block-partitioned algorithms in reducing the. This is just the version where you have atlas and scalapack installed in the /opt/ directory. Note that you can use the silent mode of the Makefile by issuing the make commands with the silent flag -s, i. Like LAPACK, the ScaLAPACK routines are based on block-partitioned algorithms in order to minimize the frequency of data movement between different levels of the memory hierarchy. The fundamental design principles of the BLAS and LAPACK are reviewed, followed by a discussion of the underlying building blocks of ScaLAPACK, the BLACS and the PBLAS, and the contents of the ScalAPACK library are enumerated. However, from running the example I linked to, the distribution seems to happen like the 2D right-up corner in your answer and it works with Cholesky's ScaLAPACK (I checked). mkl_core. New!!: Programming with Big Data in R and List of statistical packages · See more » Message Passing. Show hidden characters. Contact SIAM for additional information. ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. Example: Multitask learning-based autotuning of ScaLAPACK's PDGEQRF (Transfer learning-based autotuning) GPTune supports transfer learning-based autotuning to tune the given tuning task by leveraging already available performance data collected for different tasks. I am interested in solving a banded matrix using LAPACK/ScaLAPACK from a C code. ScaLAPACK is the parallel version of LAPACK used on clusters. Also included: - PBLAS, Parallel Basic Linear Algebra Subprograms - BLACS, Basic Linear Algebra. Once the include file has been modified, the entire installation process (including the building of testing executables) can be performed by typing ``make'' in the top-level ScaLAPACK directory. Because vectors may be seen as particular matrices, a distributed vector is considered to be a distributed matrix. Improve MKL FindLapack, FindScalapack. Install siesta from source 4. Subscribe. example_pdpotrf. ScaLAPACK, or Scalable LAPACK, is a library of high performance linear. For that reason, I would like to use MKL wi. Beginner 02-04-2011 09:26 AM. Scalapack pdpotrf example, C++. The printed version of the ScaLAPACK Users' Guide is available from SIAM. After going to all possible "Introductions" to ScaLapack, I still can't understand how to carry out a simple PDGEMV operation using it. Scalapack with CMake enhancements to make Scalapack easier to use directly in other projects. Q&A for work. Member. In the past two decades, HPC has witnessed tectonic shifts in hardware and software technology, and many algorithmic innovations in scientific computing. SLATE provides basic dense matrix operations (e. LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value. HIGHLIGHTS Designed from the ground up for multi-core CPUs and many-core accelerators Supports standard LAPACK and ScaLAPACK matrix layoutsand ScaLAPACK will run on any machine where the BLAS and the BLACS are available. SLATE is meant to be this replacement, boasting superior performance and scalability in modern, heterogeneous, distributed-memory environments. You can also solve standard eigenvalue problems. The open source library ScalapackFx provides convenient modern Fortran (Fortran 2003) wrappers for the routines of the ScaLAPACK library. Edit the top-level , and type make . , with the depends_on directive) and the build system (for example by deriving from CmakePackage ). ScaLAPACK is a library of high-performance linear algebra routines for parallel distributed memory machines. For a matrix of size 6200, with 16 tasks (4x4 grid), my local code appears to lose 9 MB. 306 * NUMROC is a ScaLAPACK tool functions; 307 * PJLAENV is a ScaLAPACK envionmental inquiry function 308 * MYROW, MYCOL, NPROW and NPCOL can be determined by callingFor context, ScaLAPACK was first released in 1995, some 25 years ago. ) least squares. The fundamental building blocks of the ScaLAPACK library are distributed memory versions of the Level 1, 2 and 3 BLAS, and a set of Basic Linear Algebra Communication Subprograms for communication tasks that arise frequently in parallel linear algebra computations. I have the chance to use many computers for that purpose, thus I am only interested in distributed solutions. I have uploaded the build log and environment files. py at develop · spack/spackBy ingenious employment of transfer learning and CNN's translational invariance, we successfully investigate the quantum system with the lattice size up to $24 imes24$, within 30 million cores of. Learning to use them is a basic part of the education of a computational scientist or engineer in many fields and at many academic. com documentation a simple example of matrix inversion with ScaLapack. . 8. LAPACK is a software package provided by Univ. Package libjlapack-java. ISBN 0-89871-397-8; The list price for SIAM members is $39. Learn more about CollectivesScaLAPACK is designed for heterogeneous computing and is portable on any computer that supports MPI or PVM. Our implementation highly. 1ノードに複数のMPIプロセスを立ち上げることで，複数のGPUを使用することができます．ただし，その際には cudaSetDevice により各プロセスにどのGPUを使用するか指定する必要があります．. md from OpenBLAS installation (attached pic): export OMP_NUM_THREADS=12. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems. Anyway, Gennady can provide more reliable answer. Dongarra and Sven. It is currently written in a Single-Program-Multiple-Data style using explicit message passing for interprocessor communication. It also suggests to use two void functions. 4. ScaLAPACK is a library of high performance linear algebra routines for distributed memory MIMD computers. ScaLAPACK. 1 Documentation. It lets us use any Python libraries from a Scala program. What I should get out is Matlab code. Best Regards, Ying . Reload to refresh your session. また， cuscalapack. ENABLE_LIBRI=OFF: Enable LibRI to suppport variety of functionals. To use the ScaLAPACK libraries in your compilation, run the following command: module load scalapack. Simple scalapack example routines written in C++. Learning Objectives After you complete this tutorial, you should be able to: • Use Intel MKL routines for linear algebra • Compile and link your code • Measure performance using support functions • Understand the impact of threading on Intel MKL performance • Control threading for Intel MKL functions Collectives™ on Stack Overflow. Features. 0 Kudos. Therefore, we do NOT recommend to set LIBMPI, MPI_LIB and MPI_INCLUDE and add the location of mpif90. Improve this answer. In that case, you surely won't be able to use any 64-bit software. Matrices are in the 2-D, block-cyclic format, an important parameter for scalability and efficiency. Homepage [software. Connect and share knowledge within a single location that is structured and easy to search. cpp -lscalapack -lblacs -lcblacs . Even replacing CUBLAS with MAGMA BLAS did not help the GPU version to win out.