From 3d5cab0259559a9a56f515c6b211a018c3b87b48 Mon Sep 17 00:00:00 2001 From: Anthony Scemama Date: Mon, 18 Nov 2019 10:34:11 +0100 Subject: [PATCH] Toto --- Manuscript/ExPerspective.bib | 11 +++++++++++ Manuscript/ExPerspective.tex | 6 ++---- 2 files changed, 13 insertions(+), 4 deletions(-) diff --git a/Manuscript/ExPerspective.bib b/Manuscript/ExPerspective.bib index c8094dc..c3d1655 100644 --- a/Manuscript/ExPerspective.bib +++ b/Manuscript/ExPerspective.bib @@ -1793,3 +1793,14 @@ Url = {https://arxiv.org/abs/1311.6244}, Year = {2013}, Bdsk-Url-1 = {https://arxiv.org/abs/1311.6244}} + + +@book{Pen19, + author = {Peng, Ivy B. and Gokhale, Maya B. and Green, Eric W.}, + title = {{System evaluation of the Intel optane byte-addressable NVM}}, + year = {2019}, + month = {Sep}, + isbn = {978-1-4503-7206-0}, + publisher = {ACM}, + doi = {10.1145/3357526.3357568} +} diff --git a/Manuscript/ExPerspective.tex b/Manuscript/ExPerspective.tex index 3fd0080..15b073a 100644 --- a/Manuscript/ExPerspective.tex +++ b/Manuscript/ExPerspective.tex @@ -1,4 +1,4 @@ -\documentclass[aip,jcp,reprint,noshowkeys,superscriptaddress]{revtex4-2} +\documentclass[aip,jcp,reprint,noshowkeys,superscriptaddress]{revtex4-1} \usepackage{graphicx,dcolumn,bm,xcolor,microtype,multirow,amscd,amsmath,amssymb,amsfonts,physics,mhchem,longtable,pifont,wrapfig,multirow} \usepackage[T1]{fontenc} @@ -329,9 +329,7 @@ with respect to integral-driven algorithms. The first important element making these algorithms efficient is the introduction of new bit manipulation instructions (BMI) in the hardware that enable an extremely fast evaluation of Slater-Condon rules\cite{Sce13b} for the direct calculation of the Hamiltonian matrix elements over arbitrary determinants. Then massive parallelism can be harnessed to compute the second-order perturbative correction with semi-stochatic algorithms,\cite{Gar17b,Sha17} and perform the sparse matrix multiplications required in Davidson's algorithm to find the eigenvectors associated with the lowest eigenvalues. -Storing -%A major drawback of determinant-driven algorithms is that they make random accesses to the electron repulsion integrals (ERI) expressed in the basis of MOs. -%Therefore, to make the implementation efficient it is desirable to have all the ERI in memory, which limits the applicability of the method. +Block-Davidson methods can require a large amount of memory, and the recent introduction of byte-addressable non-volatile memory as a new tier in the memory hierarchy\cite{Pen19} will enable SCI calculations on larger molecules. The next generation of supercomputers is going to generalize the presence of accelerators (graphical processing units, GPUs), leading to a new software crisis. Fortunately, some authors have already prepared this transition.\cite{Dep11,Kim18,Sny15,Ufi08,Kal17} }