Trustworthy scientific computing Page 1 18 COMMUNICATIONS OF THE ACM | MAY 2021 |
VOL. 64 | NO. 5 viewpoints hindered, because data is not made available and used in ways …

The enormous volume of data generated by large-scale instruments and simulations poses
significant challenges in archiving, transferring, sharing and analyzing data for various …

In the scientific domain, extremely large amounts of data are generated by large-scale high
performance computing (HPC) simulations. Storing and sending such vast volumes of data …

High-performance computing (HPC) is moving away from traditional simulation and
modeling to large-scale computational problems involving large datasets. Sometimes this …

With the global adoption of cloud computing, database outsourcing has become a common
practice. Growing privacy concerns have led to a demand for better privacy of data stored in …

Data science collaboration is problematic when access to operational data or models from
outside the data-holding organisation is prohibited, for a variety of legal, security, ethical, or …

Data-science collaboration is problematic when access to operational data or models from
outside the data-holding organisation (or organisational unit) is prohibited, for a variety of …

Data useful to science is not shared as much as it should or could be, particularly when that
data contains sensitivities of some kind. In this column, I advocate the use of hardware …

Data useful to science is not shared as much as it should or could be, particularly when that
data contains sensitivities of some kind. In this column, I advocate the use of hardware …

High performance computing (HPC) is moving away from traditional simulation and
modeling to large scale computational problems involving large datasets. Sometimes this …