Dataflow-Specific Algorithms for Resource-Constrained Scheduling and Memory Design

We introduce the Weighted Red-Blue Pebble Game, an extension of the classic red-blue pebble game with weighted operation costs. This weighted formulation enables constant-factor analysis of highly resource-constrained systems with bounded fast memory, unlimited slow memory, and strict energy and power constraints.

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Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743342
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Dataflow-Specific Algorithms for Resource-Constrained Scheduling and Memory Design

Rajit Manohar, Abhishek Bhattacharjee, Muhammed Ugur, Quanquan C. Liu et al.
Embedded Systems Design Techniques
article

Dataflow-Specific Algorithms for Resource-Constrained Scheduling and Memory Design

Rajit Manohar, Abhishek Bhattacharjee, Muhammed Ugur, Quanquan C. Liu, Raghavendra Pradyumna Pothukuchi
article en

Abstract

We introduce the Weighted Red-Blue Pebble Game, an extension of the classic red-blue pebble game with weighted operation costs. This weighted formulation enables constant-factor analysis of highly resource-constrained systems with bounded fast memory, unlimited slow memory, and strict energy and power constraints.

Yale University (US)
National Science Foundation
Openalex Percentile: Top 82%
Embedded Systems Design Techniques
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