Please use this identifier to cite or link to this item: doi:10.22028/D291-39184
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Title: AnyHLS: High-Level Synthesis with Partial Evaluation
Author(s): Özkan, M. Akif
Pérard-Gayot, Arsène
Membarth, Richard
Slusallek, Philipp
Leißa, Roland
Hack, Sebastian
Teich, Jürgen
Hannig, Frank
Language: English
Publisher/Platform: arXiv
Year of Publication: 2020
DDC notations: 004 Computer science, internet
Publikation type: Other
Abstract: FPGAs excel in low power and high throughput computations, but they are challenging to program. Traditionally, developers rely on hardware description languages like Verilog or VHDL to specify the hardware behavior at the register-transfer level. High-Level Synthesis (HLS) raises the level of abstraction, but still requires FPGA design knowledge. Programmers usually write pragma-annotated C/C++ programs to define the hardware architecture of an application. However, each hardware vendor extends its own C dialect using its own vendor-specific set of pragmas. This prevents portability across different vendors. Furthermore, pragmas are not first-class citizens in the language. This makes it hard to use them in a modular way or design proper abstractions. In this paper, we present AnyHLS, an approach to synthesize FPGA designs in a modular and abstract way. AnyHLS is able to raise the abstraction level of existing HLS tools by resorting to programming language features such as types and higher-order functions as follows: It relies on partial evaluation to specialize and to optimize the user application based on a library of abstractions. Then, vendor-specific HLS code is generated for Intel and Xilinx FPGAs. Portability is obtained by avoiding any vendor-specific pragmas at the source code. In order to validate achievable gains in productivity, a library for the domain of image processing is introduced as a case study, and its synthesis results are compared with several state-of-theart Domain-Specific Language (DSL) approaches for this domain.
DOI of the first publication: 10.48550/arXiv.2002.05796
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-391842
Date of registration: 1-Mar-2023
Notes: Preprint
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Philipp Slusallek
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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