Context management in dynamic environments. - Jens Tiemann; Evgenij Belikov; Humberto Astudillo (IWCMC, 2009)

Architecture-aware cost modelling for parallel performance portability. - Evgenij Belikov; Hans-Wolfgang Loidl; Greg Michaelson; Philip W. Trinder (Software Engineering (Workshops), 2012)

History-Based Adaptive Work Distribution. - Evgenij Belikov (ICCSW, 2014)

Language Run-time Systems: an Overview. - Evgenij Belikov (ICCSW, 2015)

Towards a Characterisation of Parallel Functional Applications. - Evgenij Belikov; Hans-Wolfgang Loidl; Greg J. Michaelson (Software Engineering (Workshops), 2015)

Colocation of Potential Parallelism in a Distributed Adaptive Run-Time System for Parallel Haskell. - Evgenij Belikov; Hans-Wolfgang Loidl; Greg Michaelson (TFP, 2018)

Adaptive architecture-transparent policy control in a distributed graph reducer. - Evgenij Belikov (2019)

Utilising urgent computing to tackle the spread of mosquito-borne diseases. - Nick Brown 002; Rupert Nash; Piero Poletti; Giorgio Guzzetta; Mattia Manica; Agnese Zardini; Markus Flatken; Jules Vidal; Charles Gueunet; Evgenij Belikov; Julien Tierny; Artur Podobas; et al. (UrgentHPC@SC, 2021)

CAMP: a Synthetic Micro-Benchmark for Assessing Deep Memory Hierarchies. - Wenqing Peng; Evgenij Belikov (HiPar@SC, 2022)

Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making. - Nick Brown 002; Rupert Nash; Gordon Gibb; Evgenij Belikov; Artur Podobas; Wei Der Chien; Stefano Markidis; Markus Flatken; Andreas Gerndt (ISC Workshops, 2022)

Predicting batch queue job wait times for informed scheduling of urgent HPC workloads. - Nick Brown 002; Gordon Gibb; Evgenij Belikov; Rupert Nash (CoRR, 2022)

VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. - Markus Flatken; Artur Podobas; Riccardo Fellegara; Achim Basermann; Johannes Holke; David Knapp; Max Kontak; Christian Krullikowski; Michael Nolde; Nick Brown 002; Rupert Nash; Gordon Gibb; et al. (IEEE Access, 2023)

Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques. - Nick Brown 002; Gordon Gibb; Evgenij Belikov; Rupert Nash (Concurr. Comput. Pract. Exp., 2024)