All Projects → flame → Libflame

flame / Libflame

Licence: other
High-performance object-based library for DLA computations

Programming Languages

fortran
972 projects

Projects that are alternatives of or similar to Libflame

Blis
BLAS-like Library Instantiation Software Framework
Stars: ✭ 859 (+336.04%)
Mutual labels:  linear-algebra, high-performance, high-performance-computing
sympiler
Sympiler is a Code Generator for Transforming Sparse Matrix Codes
Stars: ✭ 32 (-83.76%)
Mutual labels:  linear-algebra, high-performance-computing
lubeck
High level linear algebra library for Dlang
Stars: ✭ 57 (-71.07%)
Mutual labels:  high-performance, linear-algebra
Clojurecl
ClojureCL is a Clojure library for parallel computations with OpenCL.
Stars: ✭ 266 (+35.03%)
Mutual labels:  high-performance, high-performance-computing
linnea
Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.
Stars: ✭ 60 (-69.54%)
Mutual labels:  linear-algebra, high-performance-computing
minstant
Performant time measuring in Rust
Stars: ✭ 109 (-44.67%)
Mutual labels:  high-performance, high-performance-computing
gblastn
G-BLASTN is a GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST.
Stars: ✭ 52 (-73.6%)
Mutual labels:  high-performance, high-performance-computing
hicma
HiCMA: Hierarchical Computations on Manycore Architectures
Stars: ✭ 21 (-89.34%)
Mutual labels:  linear-algebra, high-performance-computing
Vectorious
Linear algebra in TypeScript.
Stars: ✭ 616 (+212.69%)
Mutual labels:  linear-algebra, high-performance-computing
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Stars: ✭ 793 (+302.54%)
Mutual labels:  linear-algebra, high-performance-computing
vpic
Vector Particle-In-Cell (VPIC) Project
Stars: ✭ 124 (-37.06%)
Mutual labels:  high-performance, high-performance-computing
Nnpack
Acceleration package for neural networks on multi-core CPUs
Stars: ✭ 1,538 (+680.71%)
Mutual labels:  high-performance, high-performance-computing
Tf Quant Finance
High-performance TensorFlow library for quantitative finance.
Stars: ✭ 2,925 (+1384.77%)
Mutual labels:  high-performance, high-performance-computing
QUB DW HighPerformancePython
Code and more for the QUB Development Weeks event 'High Performance Python'
Stars: ✭ 79 (-59.9%)
Mutual labels:  high-performance, high-performance-computing
Hipsycl
Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (+91.37%)
Mutual labels:  high-performance, high-performance-computing
Nasoq
NASOQ:Numerically Accurate Sparsity Oriented QP Solver
Stars: ✭ 30 (-84.77%)
Mutual labels:  linear-algebra, high-performance-computing
Blasfeo
Basic linear algebra subroutines for embedded optimization
Stars: ✭ 120 (-39.09%)
Mutual labels:  linear-algebra, high-performance
Aero
🚄 Fastest node.js framework. Go version is actively maintained: @aerogo
Stars: ✭ 181 (-8.12%)
Mutual labels:  high-performance
Pond
Minimalistic and High-performance goroutine worker pool written in Go
Stars: ✭ 187 (-5.08%)
Mutual labels:  high-performance
Quant Notes
Quantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (-8.63%)
Mutual labels:  linear-algebra

libflame library

libflame is a portable library for dense matrix computations, providing much of the functionality present in LAPACK, developed by current and former members of the Science of High-Performance Computing (SHPC) group in the Institute for Computational Engineering and Sciences at The University of Texas at Austin. libflame includes a compatibility layer, lapack2flame, which includes a complete LAPACK implementation. The source code for libflame is hosted on github:

https://github.com/flame/libflame

For detailed instructions on how to configure, build, install, and link against libflame, please refer to the libflame reference manual. This manual contains all the information you need to get started with libflame, including installation directions, usage examples, and a complete API reference. If you have LaTeX installed on your system, you may simply change into the 'docs/libflame' subdirectory of the top-level directory of the libflame source tree and build the document from its source. You may also find a copy of the document here on github.

You can keep in touch with developers and other users of the project by joining the following mailing list:

  • libflame-discuss Please join and post to this mailing list if you have general questions or feedback regarding libflame.
  • NOTE: We do not yet have a developer's mailing list. For now, developers and those with developer-related questions can simply post to libflame-discuss.

If you encounter any problems or wish to submit a bug report, please consider opening an issue here on github.

Also, please read the LICENSE file for information on copying and distributing this software.

Thanks for your interest in libflame!

Regards,

Field G. Van Zee (for the SHPC team)

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].