Argonne National Laboratory

Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics

TitleImproving the Trust in Results of Numerical Simulations and Scientific Data Analytics
Publication TypeReport
Year of Publication2015
AuthorsCappello, F, Constantinescu, EM, Hovland, PD, Peterka, T, Phillips, CL, Snir, M, Wild, SM
Other NumbersANL/MCS-TM-352
Abstract

This white paper investigates several key aspects of the trust that a user can give to the results of numerical simulations and scientific data analytics.  In this document, the notion of trust is related to the integrity of numerical simulations and data analytics applications. This white paper complements the DOE ASCR report on Cybersecurity for Scientific Computing Integrity [1] by (1) exploring the sources of trust loss; (2) reviewing the definitions of trust in several areas; (3) providing numerous cases of result alteration, some of them leading to catastrophic failures; (4) examining the current notion of trust in numerical simulation and scientific data analytics; (5) providing a gap analysis; and (6) suggesting two important research directions and their respective research topics.
 

PDFhttp://www.mcs.anl.gov/papers/ANL/MCS-TM-352.pdf