ENHANCE: Enabling Heterogeneous Hardware Acceleration using Novel Programming and Scheduling Models

Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing
T. Beisel, Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing, Logos Verlag Berlin GmbH, Berlin, 2015.

Performance-centric scheduling with task migration for a heterogeneous compute node in the data center
A. Lösch, T. Beisel, T. Kenter, C. Plessl, M. Platzner, in: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), EDA Consortium / IEEE, 2016, pp. 912–917.

Parallel Macro Pipelining on the Intel SCC Many-Core Computer
T. Suess, A. Schoenrock, S. Meisner, C. Plessl, in: Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), IEEE Computer Society, Washington, DC, USA, 2013, pp. 64–73.

Transformation of scientific algorithms to parallel computing code: subdomain support in a MPI-multi-GPU backend
B. Meyer, C. Plessl, J. Förstner, in: Symp. on Application Accelerators in High Performance Computing (SAAHPC), IEEE Computer Society, 2011, pp. 60–63.

Cooperative multitasking for heterogeneous accelerators in the Linux Completely Fair Scheduler
T. Beisel, T. Wiersema, C. Plessl, A. Brinkmann, in: Proc. Int. Conf. on Application-Specific Systems, Architectures, and Processors (ASAP), IEEE Computer Society, 2011, pp. 223–226.

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux
T. Beisel, T. Wiersema, C. Plessl, A. Brinkmann, in: Proc. Workshop on Computer Architecture and Operating System Co-Design (CAOS), 2012.