this articl approach scientif softwar architectur from three analyt path each path examin discret time advanc multiphys phenomena govern coupl differenti equat the new objectori fortran 2003 construct provid formal syntax abstract data type adt calculus the first analysi use tradit objectori softwar design metric demonstr high cohes low coupl associ calculus second analysi from viewpoint comput complex theori demonstr more repres bug search strategi than consid rouson acm tran math soft 34 1 2008 reduc number line search code total line from 2 log 2 which turn becom near independ overal code size context adt calculus the third analysi deriv from inform theori argument adt calculus simplifi develop communic part minim growth interfac inform content develop add new physic multiphys packag

Damian W.I. Rouson

Towards Analysis-Driven Scientific Software Architecture: The Case for Abstract Data Type Calculus

Sandya S. Mannarswamy

Book Review

Complexity in Scalable Computing

highperform scientif softwar develop emphasi often short time first solut even when develop new compon most reus exist compon librari onli small amount new code must creat deal compon glue code softwar build process obtain complet applic still tedious errorpron componentbas softwar meant reduc complex applic level increas complex extent user must learn rememb interfac convent compon model itself address need introduc bocca first tool enabl applic develop perform rapid compon prototyp while maintain robust softwareengin practic suitabl hpc environ bocca provid project manag comprehens build environ creat manag applic compos common compon architectur compon critic import highperform comput hpc applic bocca design oper languageagnost way simultan handl compon written ani languag common use scientif applic fortran python java bocca autom task relat compon glue code free user focus scientif aspect applic bocca embrac philosophi pioneer rubi rail web applic start someth work evolv user purpos

Benjamin A. Allan

Boyana Norris

Wael R. Elwasif

Robert C. Armstrong

Managing Scientific Software Complexity with Bocca and CCA

until recent perform gain processor were achiev larg improv clock speed instruct level parallel thus applic could obtain perform increas relat minor chang upgrad latest generat comput hardwar current howev processor perform improv realiz use multicor technolog hardwar support multipl thread within each core take full advantag technolog improv perform applic requir exposur extrem level softwar parallel here discuss architectur parallel comput construct from mani multicor chip well techniqu manag complex program comput includ hybrid messagepass multithread program model illustr idea hybrid distribut memori matrix multipli quantum chemistri algorithm energi comput use møller plesset perturb theori

Ida M.B. Nielsen

Curtis L. Janssen

Multicore Challenges and Benefits for High Performance Scientific Computing

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Joseph P. Kenny

Mark S. Gordon

Masha Sosonkina

Theresa L. Windus

A Component Approach to Collaborative Scientific Software Development: Tools and Techniques Utilized by the Quantum Chemistry Science Application Partnership

micro nanofluid pose seri signific challeng sciencebas model key among those wide separ length timescal between interfac phenomena bulk flow spatial heterogen solut properti near solidliquid interfac uncommon characterist scale system span nine order magnitud from atom motion particl dynam evolut mass transport macroscal level make explicit particl model intract all simplest system recent atomistictocontinuum a2c multiscal simul have gain lot interest approach rigor handl particlelevel dynam while also track evolut largescal macroscal behavior while method clear applic all class simul find traction system which tightbind physic import dynam system interfac have complex effect slowerevolv largescal evolut surround medium these condit allow decomposit simul discret domain either spatial tempor paper describ how featur domain decompos simul system can har yield flexibl effici softwar multiscal simul electr fielddriven micro nanofluid

Helgi Adalsteinsson

Bert J. Debusschere

Kevin R. Long

Habib N. Najm

Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems

About this journal

Scientific Programming provides a forum for research results in, and practical experience with, software engineering environments, tools, languages, and models of computation aimed specifically at supporting scientific and engineering computing.

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Chief Editor, Professor Tramontana, is based at the University of Catania and his research primarily concerns the areas of software engineering and distributed systems.

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Scientific Programming

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Scientific Programming

Complexity in Scalable Computing

Complexity in Scalable Computing

Articles

Towards Analysis-Driven Scientific Software Architecture: The Case for Abstract Data Type Calculus

Book Review

Complexity in Scalable Computing

Managing Scientific Software Complexity with Bocca and CCA

Multicore Challenges and Benefits for High Performance Scientific Computing

A Component Approach to Collaborative Scientific Software Development: Tools and Techniques Utilized by the Quantum Chemistry Science Application Partnership

Components for Atomistic-to-Continuum Multiscale Modeling of Flow in Micro- and Nanofluidic Systems