Science and Innovation: Numerical Algorithms and Intelligent Software for the Evolving HPC Platform

Leimkuhler, Benedict (Principal Investigator)

School of Mathematics

Project Details

Status	Finished
Effective start/end date	1/08/09 → 31/07/14

Funding

EPSRC: £3,725,770.00

37 Article
14 Conference contribution
9 Working paper
3 Chapter
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On the Complexity of Parallel Coordinate Descent
Tappenden, R., Takac, M. & Richtarik, P., 2018, In: Optimization Methods and Software. 33, 2, p. 372-395 24 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Matrix Completion under Interval Uncertainty
Mareček, J., Richtárik, P. & Takáč, M., Jan 2017, In: European Journal of Operational Research. 256, 1, p. 35-43 28 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Distributed Coordinate Descent Method for Learning with Big Data
Richtarik, P. & Takáč, M., Jun 2016, In: Journal of Machine Learning Research. 17, 75, p. 1-25
Research output: Contribution to journal › Article › peer-review

Open Access
File

Quasi-geostrophic double gyre force function data
Maddison, J. (Creator), Marshall, D. P. (Creator) & Shipton, J. (Creator), Edinburgh DataShare, 22 Jan 2015
DOI: 10.7488/ds/203
Dataset

1 Invited talk

HPC and Big Data
Adrian Jackson (Speaker)
26 Feb 2013
Activity: Academic talk or presentation types › Invited talk