Skip to main content

libCEED: Code for Efficient Extensible Discretization

Project description

libCEED is a lightweight library for expressing and manipulating operators that arise in high-order element-based discretization of partial differential equations. libCEED’s representations are much for efficient than assembled sparse matrices, and can achieve very high performance on modern CPU and GPU hardware. This approach is applicable to a broad range of linear and nonlinear problems, and includes facilities for preconditioning. libCEED is meant to be easy to incorporate into existing libraries and applications, and to build new tools on top of.

libCEED has been developed as part of the DOE Exascale Computing Project co-design Center for Efficient Exascale Discretizations (CEED).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

libceed-0.12.0.tar.gz (26.3 kB view details)

Uploaded Source

Built Distributions

libceed-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (652.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libceed-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (652.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

libceed-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (894.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

libceed-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (894.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

libceed-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (894.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

libceed-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (894.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

File details

Details for the file libceed-0.12.0.tar.gz.

File metadata

  • Download URL: libceed-0.12.0.tar.gz
  • Upload date:
  • Size: 26.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for libceed-0.12.0.tar.gz
Algorithm Hash digest
SHA256 10d14ace7a47d0e29aaf2237fd7ad2c798acdc7f617abab39b000d78f40fd23d
MD5 172ba3390fedb10c0d212ec86db14f40
BLAKE2b-256 fbb80d89721ae9c69c7c461228b09177fc3be9420a0a3250113093cb36d53840

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d02e37d563c053daf6b0febae6dda11ecfe47d789308f5b3a66188bdab8bf306
MD5 2542d9b5bd8c66a23542ba97411db630
BLAKE2b-256 c33d87d7b724ee31fa2e1abb9bb8f556e44b5217f24d5b0fb59938af8e4d906b

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b54be25c0ec65342d116d20acb71473571e8adf33097d2906924fd013b83966
MD5 701a789a38b255221650e4d613f71176
BLAKE2b-256 2ef1a314324a6d21725af4dc1e5d8f7937f0de7af02a9262ef6cf3a454530c30

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d4967491d93c877d9af81aee1f16e14d4a8b0911566f3dc8875d425dc7dc5f16
MD5 6df2bff8014f80a071ad0099cc230ce3
BLAKE2b-256 20efa8e668d6cd2ddf0b8b03f6bb5d6694ad71748db198ffca58bc19ed8fab63

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93ba5281f6fea7b734625a3d5122fe61e9e6a1fd01ab23b9a8a93432351fd93a
MD5 43b4fa0269fff576ff8046e6ad07c806
BLAKE2b-256 7af6ae88e3cadc9877dab05a91703b37d9b6383d56c36045178b2a04235e116a

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f25843ee49e811ae10edec274161005101f3a2f80ab35c208658fd9b3ad74bad
MD5 f6eb5c81f92689f659f1f1e7720e9421
BLAKE2b-256 60fee05a6dc4dcec1b84e9b4db17e8f9d8b9e5c2f17ebe69fab2bec3bca0f39f

See more details on using hashes here.

File details

Details for the file libceed-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libceed-0.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e1f0568392957a9dd18ce9dd116f83eb0ff32de27236ebc98260be5451dd963
MD5 6b28bdca8c9c2f2719d49642d727082f
BLAKE2b-256 9edd960f888f1ffef7d81de1a8c40d9b3098fc82a8bde39cdc3d3cdfd060192c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page