Back to Results
First PageMeta Content
Theoretical physics / Tensor contraction / Tensor / NWChem / Symmetric tensor / Einstein notation / Recurrent tensor / Penrose graphical notation / Mathematics of general relativity / Tensors / Algebra / Mathematics


A massively parallel tensor contraction framework for coupled-cluster computations Edgar Solomonik Devin Matthews Jeff Hammond
Add to Reading List

Document Date: 2014-08-02 23:57:07

Open Document

File Size: 979,36 KB

Share Result on Facebook

City

Austin / /

Company

NWChem / Intel Corp. / /

Country

United States / /

/

Facility

BLAS library / University of Texas / University of California / /

IndustryTerm

chemical accuracy / final product / parallel algorithms / parallel numerical linear algebra algorithms / 3D matrix multiplication algorithm / 3D algorithm / computational chemistry software package / 2D algorithm / 2D algorithms / massively-parallel quantum chemical computations / tenable solution / parallel systems / molecular systems / torus networks / 3D algorithms / multiplication algorithms / /

OperatingSystem

BSD / /

Organization

University of California / Department of EECS / Computing Lab / Department of Mathematics / Department of Chemistry and Biochemistry / University of Texas / /

Person

Edgar Solomonik Devin Matthews Jeff / John Stanton James Demmel / /

Position

author / /

Product

Tensor Contraction Engine / /

ProgrammingLanguage

C++ / /

ProvinceOrState

Texas / California / Georgia / /

Technology

2.6 Matrix multiplication algorithms / load balancing / 2D algorithm / 2D algorithms / 3D algorithms / parallel numerical linear algebra algorithms / computational chemistry / 2.5D algorithms / 3D matrix multiplication algorithm / DSL / 2.5D algorithm / 3D algorithm / /

URL

http /

SocialTag