Reducing the Complexity of Electronic Structure Calculations with Sparse and Low-Rank Data Structures and Novel Screening Techniques

Event Sponsor: 
Argonne Leadership Computing Facility Seminar
Start Date: 
Aug 14 2017 - 10:30am
Building/Room: 
Building 241/Room D173
Location: 
Argonne National Laboratory
Speaker(s): 
Drew Lewis
Speaker(s) Title: 
Virginia Tech
Host: 
Alvaro Vazquez Mayagoitia

Formally high polynomial scaling, in computation and memory, algorithms used in electronic structure calculations can typically be reduced to linear or near linear by exploiting the rank and element sparsities of tensors constructed in local basis sets. This talk will discuss a new tensor approximation technique called the Clustered Low-Rank (CLR) framework as well as another new screening technique for reduced scaling local density fitting and show how these can be used to achieve reduced scaling and low memory usage in closed shell Hartree-Fock calculations.

Miscellaneous Information: 

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