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.
Developing a Successful HPC Mentoring Program at the IHPCSS
Developing a Successful HPC Mentoring Program at the IHPCSS
Callaghan, S., Gonsiorowski, E., Filinger, W. & Zhukov, I., 17 Jul 2024, PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered Computing. Association for Computing Machinery (ACM), p. 1-9 9 p. 30Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Developing HPC Learning Pathways: Challenges and Recommendations
Developing HPC Learning Pathways: Challenges and Recommendations
Filinger, W., Mullen, J. & Cohen, J., 17 Jul 2024, PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered Computing. Association for Computing Machinery (ACM), p. 1-4 4 p. 81Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
IHPCSS: Building Community for Short Training Schools
IHPCSS: Building Community for Short Training Schools
Callaghan, S., Gonsiorowski, E., Filinger, W. & Zhukov, I., 17 Jul 2024, PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered Computing. Association for Computing Machinery (ACM), p. 1-4 4 p. 79Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Enabling Science from the Rubin Alert Stream with Lasair
Enabling Science from the Rubin Alert Stream with Lasair
Williams, R. D., Francis, G. P., Lawrence, A., Sloan, T. M., Smartt, S. J., Smith, K. W. & Young, D. R., 11 Jul 2024, In: RAS Techniques and Instruments. 3, 1, p. 362-371 10 p.Research output: Contribution to journal › Article › peer-review
Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques
Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques
Brown, N., Gibb, G., Belikov, E. & Nash, R. W., 10 Jul 2024, In: Concurrency and Computation: Practice and Experience. 36, 15, e8112.Research output: Contribution to journal › Article › peer-review
Evaluating random forest classifiers to optimise load balancing of parallel mesh generation
Evaluating random forest classifiers to optimise load balancing of parallel mesh generation
Gangopadhyay, A., Bartholomew, P. & Weiland, M., 8 Jul 2024, (Accepted/In press) Parallel CFD 2024.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC
Brown, N. & Jamieson, M., 17 Jun 2024, (Accepted/In press) High Performance Computing: ISC High Performance 2023 International Workshops. Springer NatureResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Developing a Common Schema for De-identification of Personal Health Identifiers in EHRs across Scotland
Developing a Common Schema for De-identification of Personal Health Identifiers in EHRs across Scotland
Casey, A., Falis, M., Gruber, F. S., Murrell, M., Nita, S., Tilbrook, A., Mayor, C., O’Sullivan, K. & Harrison, K., 14 Jun 2024.Research output: Contribution to conference › Abstract › peer-review
Simulating dynamics of ellipsoidal particles using lattice Boltzmann method
Simulating dynamics of ellipsoidal particles using lattice Boltzmann method
Thampi, S. P., Stratford, K. & Henrich, O., 7 Jun 2024, In: Physical Review E. 109, 6Research output: Contribution to journal › Article › peer-review
Mining RSE repository timelines on GitHub: How long will it live, and who will notice?
Mining RSE repository timelines on GitHub: How long will it live, and who will notice?
Moraw, K. & Chue Hong, N. P., 4 Jun 2024, (Accepted/In press).Research output: Contribution to conference › Poster › peer-review