Resource-constrained Programming
Resource-Constrained Programming is a paradigm of software development in which programs are designed and implemented under strict limitations on computational resources such as memory, processing power, and energy, distinguishing it from general-purpose programming by prioritizing efficiency, minimalism, and direct hardware control in embedded and bare-metal environments.
49
Publications
2.4K
Citations
137
Authors
87
Institutions
Publications per year
2017–2026
13
49
1–5 of 49
137
3
h-index
3
h-index
3
h-index
2
h-index
Laboratoire d'Analyse et d'Architecture des Systèmes, France
2 publications · 217 citations
2
h-index
1–5 of 137
87

Harvard University Press
Cambridge, United States
4 h-index
12 publications
793 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
6 publications
360 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
416 citations
Princeton University
Princeton, United States
2 h-index
6 publications
98 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
2 h-index
5 publications
635 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
118 citations
Technical University of Munich
Munich, Germany
2 h-index
4 publications
248 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
148 citations
1–8 of 87
6 publications · 307 citations
6
h-index
4 publications · 510 citations
4
h-index
OR · 2 publications · 65 citations
2
h-index
2 publications · 120 citations
2
h-index
2 publications · 162 citations
2
h-index
1–5