quda | performing calculations in lattice QCD | GPU library

 by   lattice C++ Version: v1.1.0 License: Non-SPDX

kandi X-RAY | quda Summary

kandi X-RAY | quda Summary

quda is a C++ library typically used in Hardware, GPU, Deep Learning, Pytorch applications. quda has no bugs, it has no vulnerabilities and it has low support. However quda has a Non-SPDX License. You can download it from GitHub.

QUDA is a library for performing calculations in lattice QCD on graphics processing units (GPUs), leveraging NVIDIA's CUDA platform. The current release includes optimized Dirac operators and solvers for the following fermion actions:. Implementations of CG, multi-shift CG, BiCGStab, BiCGStab(l), and DD-preconditioned GCR are provided, including robust mixed-precision variants supporting combinations of double, single, half and quarter precisions (where the latter two are 16-bit and 8-bit "block floating point", respectively). The library also includes auxiliary routines necessary for Hybrid Monte Carlo, such as HISQ link fattening, force terms and clover- field construction. Use of many GPUs in parallel is supported throughout, with communication handled by QMP or MPI. QUDA includes an implementations of adaptive multigrid for the Wilson, clover-improved, twisted-mass and twisted-clover fermion actions. We note however that this is undergoing continued evolution and improvement and we highly recommend using adaptive multigrid use the latest develop branch. More details can be found [here] (Support for eigen-vector deflation solvers is also included through the Thick Restarted Lanczos Method (TRLM), and we offer an Implicitly Restarted Arnoldi for observing non-hermitian operator spectra. For more details we refer the user to the wiki: [QUDA's eigensolvers] ([Deflating coarse grid solves in Multigrid] (
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              quda has a low active ecosystem.
              It has 241 star(s) with 89 fork(s). There are 54 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 190 open issues and 438 have been closed. On average issues are closed in 250 days. There are 20 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of quda is v1.1.0

            kandi-Quality Quality

              quda has no bugs reported.

            kandi-Security Security

              quda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              quda has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              quda releases are available to install and integrate.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of quda
            Get all kandi verified functions for this library.

            quda Key Features

            No Key Features are available at this moment for quda.

            quda Examples and Code Snippets

            No Code Snippets are available at this moment for quda.

            Community Discussions

            QUESTION

            How can i display API response data in a table
            Asked 2019-Dec-06 at 03:20

            I have the following code to fetch data from API using axios in reactJs

            ...

            ANSWER

            Answered 2019-Dec-06 at 03:20

            Loop through your data using map, creating a row for each object. Change your show success to save the array to state, instead of the object.

            Source https://stackoverflow.com/questions/59206050

            QUESTION

            How to outline border of the slicer in Power BI Desktop
            Asked 2018-May-17 at 00:05

            How can I outline the border of the slicer? I want to change color of the border of the window where it says "All".

            I do not need like this:

            I need something like that"

            Anyway to achieve that in Power bi?

            ...

            ANSWER

            Answered 2018-May-17 at 00:05

            I don't think this is currently possible with the built-in slicer.

            To do this, you'll either have to create your own custom visual or else submit an idea and hope it gets implemented.

            This image shows the different pieces you can currently adjust.

            Notice that the border for the header and the items (purple) is the same thickness and color, the outside border (yellow) can't be changed in width, and the Items Outline doesn't display except on the drop-down section.

            You could make a really thick border using the Background, but I don't think that's a good option.

            Source https://stackoverflow.com/questions/50381188

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install quda

            You can download it from GitHub.

            Support

            QUDA supports using multiple GPUs through MPI and QMP, together with the optional use of NVSHMEM GPU-initiated communication for improved strong scaling of the Dirac operators. To enable multi-GPU support either set QUDA_MPI or QUDA_QMP to ON when configuring QUDA through cmake. Note that in any case cmake will automatically try to detect your MPI installation. If you need to specify a particular MPI please set MPI_C_COMPILER and MPI_CXX_COMPILER in cmake. See also https://cmake.org/cmake/help/v3.9/module/FindMPI.html for more help. For QMP please set QUDA_QMP_HOME to the installation directory of QMP. For more details see https://github.com/lattice/quda/wiki/Multi-GPU-Support. To enable NVSHMEM support set QUDA_NVSHMEM to ON, and set the location of the local NVSHMEM installation with QUDA_NVSHMEM_HOME. For more details see https://github.com/lattice/quda/wiki/Multi-GPU-with-NVSHMEM.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link