activity
20202026
most citedApplication-Driven Exascale: The JUPITER Benchmark Suite

10 citations · 15 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DC2026

Novel Iterative Construction Methods for the Blocking Job Shop Scheduling Problem

Adel Dabah, Karima Rihane, Hocine Saadi +4

The Blocking Job-Shop Scheduling Problem (BJSSP) arises in modern and complex manufacturing, production, logistics, and service where no intermediate storage is allowed between con…

cs.DC2026

Coupling Complementary Simulations for Combined Performance and Energy Optimization

Adel Dabah, Gregor Häfner, Sonja Happ +3

Polymer simulations are among the most computationally demanding workloads in soft-matter research, often requiring days of execution and high energy consumption to achieve physica…

cs.DM2026

Graph Edit Distance Formulation for the Vehicle Routing Problem: Theory and Analysis

Adel Dabah

We show that the Vehicle Routing Problem (VRP) can be reformulated as a Graph Edit Distance (GED) maximization problem. Under a simple edge-deletion cost model, minimizing total ro…

cs.DC2026

Efficient Accelerated Graph Edit Distance Computation on GPU

Adel Dabah, Andreas Herten

Graph representation is a powerful abstraction of real-world objects and relations. Computing the Graph Edit Distance (GED) between graphs is critical in domains such as bioinforma…

cs.DC2025

Learning-Based Approaches for Job Shop Scheduling Problems: A Review

Karima Rihane, Adel Dabah, Abdelhakim AitZai

Job Shop Scheduling (JSS) is one of the most studied combinatorial optimization problems. It involves scheduling a set of jobs with predefined processing constraints on a set of ma…

cs.DC2024★ 10 cited

Application-Driven Exascale: The JUPITER Benchmark Suite

Andreas Herten, Sebastian Achilles, Damian Alvarez +28

Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real appli…

cs.DC2020★ 5 cited

Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems

A. Dabah, H. Ltaief, Z. Rezki +3

Massive MIMO systems are seen by many researchers as a paramount technology toward next generation networks. This technology consists of hundreds of antennas that are capable of se…