A High-Performance Image Processing DSL for Heterogeneous Architectures
Author(s): Selgrad K, Lier A, Dörntlein J, Reiche O, Stamminger M
Publication year: 2016
Conference Proceedings Title: Proceedings of the 9th European Lisp Symposium (ELS)
Pages range: 39-46
Event: 9th European Lisp Symposium (ELS)
Event location: Kraków
Start date of the event: 09/05/2016
End date of the event: 10/05/2016
Over the last decade a number of high performance, domain-specific languages (DSLs) have started to grow and help tackle the problem of ever diversifying hard- and software employed in fields such as HPC (high performance computing), medical imaging, computer vision etc. Most of those approaches rely on frameworks such as LLVM for efficient code generation and, to reach a broader audience, take input in C-like form. In this paper we present a DSL for image processing that is on-par with competing methods, yet its design principles are in strong contrast to previous approaches. Our tool chain is much simpler, easing the burden on implementors and maintainers, while our output, C-family code, is both adaptable and shows high performance. We believe that our methodology provides a faster evaluation of language features and abstractions in the domains above.
FAU Authors / FAU Editors How to cite
APA: Selgrad, K., Lier, A., Dörntlein, J., Reiche, O., & Stamminger, M. (2016). A High-Performance Image Processing DSL for Heterogeneous Architectures. In Proceedings of the 9th European Lisp Symposium (ELS) (pp. 39-46).
MLA: Selgrad, Kai, et al. "A High-Performance Image Processing DSL for Heterogeneous Architectures." Proceedings of the 9th European Lisp Symposium (ELS), Kraków 2016. 39-46.