Distributed High Performance Computing in Common Lisp. - Marco Heisig; Nicolas Neuss (ELS, 2016)

Parallelizing Femlisp. - Marco Heisig; Nicolas Neuss (ELS, 2017)

Petalisp: A Common Lisp Library for Data Parallel Programming. - Marco Heisig (ELS, 2018)

Petalisp: run time code generation for operations on strided arrays. - Marco Heisig; Harald Köstler (ARRAY@PLDI, 2018)

Lazy, Parallel Multiple Value Reductions in Common Lisp. - Marco Heisig (ELS, 2019)

Sealable Metaobjects for Common Lisp. - Marco Heisig (ELS, 2020)

Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future. - Andreas Maier 001; Harald Köstler; Marco Heisig; Patrick Krauss; Seung Hee Yang (CoRR, 2021)

Closing the Performance Gap Between Lisp and C. - Marco Heisig; Harald Köstler (ELS, 2022)

Resiliency in numerical algorithm design for extreme scale simulations. - Emmanuel Agullo; Mirco Altenbernd; Hartwig Anzt; Leonardo Bautista-Gomez; Tommaso Benacchio; Luca Bonaventura; Hans-Joachim Bungartz; Sanjay Chatterjee; Florina M. Ciorba; Nathan DeBardeleben; Daniel Drzisga; Sebastian Eibl; et al. (Int. J. High Perform. Comput. Appl., 2022)

An Introduction to Array Programming in Petalisp. - Marco Heisig (ELS, 2024)