Research papers
Below is a selection of EPCC’s research papers from the past two years. To explore all our papers, search the University of Edinburgh's Research Explorer.
Exploring DAOS interfaces and performance
Exploring DAOS interfaces and performance
Manubens, N., Lombardi, J., Smart, S. D., Danovaro, E., Quintino, T., Hildebrand, D. & Jackson, A., 18 Sept 2024, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Exploring DAOS interfaces and performance
Exploring DAOS interfaces and performance
Manubens, N., Lombardi, J., Smart, S. D., Danovaro, E., Quintino, T., Hildebrand, D. & Jackson, A., 18 Sept 2024, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber
Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber
on behalf of the DUNE Collaboration, 11 Sept 2024, In: Instruments. 8, 3, 41.Research output: Contribution to journal › Article › peer-review
Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber
Performance of a Modular Ton-Scale Pixel-Readout Liquid Argon Time Projection Chamber
on behalf of the DUNE Collaboration, 11 Sept 2024, In: Instruments. 8, 3, 41.Research output: Contribution to journal › Article › peer-review
The Future of Hackathon Research and Practice
The Future of Hackathon Research and Practice
Falk, J., Nolte, A., Huppenkothen, D., Weinzierl, M., Gama, K., Spikol, D., Tollerud, E., Chue Hong, N. P., Knäpper, I. & Hayden, E. B., 5 Sept 2024, In: IEEE Access. 12, 20 p.Research output: Contribution to journal › Article › peer-review
The Future of Hackathon Research and Practice
The Future of Hackathon Research and Practice
Falk, J., Nolte, A., Huppenkothen, D., Weinzierl, M., Gama, K., Spikol, D., Tollerud, E., Chue Hong, N. P., Knäpper, I. & Hayden, E. B., 5 Sept 2024, In: IEEE Access. 12, 20 p.Research output: Contribution to journal › Article › peer-review
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
Rae, C., Lee, J., Richings, J. & Weiland, M., 3 Sept 2024, Proceedings of the PERMAVOST '24 workshop at HPDC 24. Association for Computing Machinery (ACM), p. 16-22Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
Rae, C., Lee, J., Richings, J. & Weiland, M., 3 Sept 2024, Proceedings of the PERMAVOST '24 workshop at HPDC 24. Association for Computing Machinery (ACM), p. 16-22Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0
A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0
Owens, S., Dipanjan, M., Wilson, C., Bartholomew, P. & Maarten, V. R., 26 Aug 2024, In: Geoscientific Model Development.Research output: Contribution to journal › Article › peer-review
A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0
A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0
Owens, S., Dipanjan, M., Wilson, C., Bartholomew, P. & Maarten, V. R., 26 Aug 2024, In: Geoscientific Model Development.Research output: Contribution to journal › Article › peer-review