eldorado.tu-dortmund.de/server/api/core/bitstreams/add7edb9-da6b-4ff7-86d3-f5c588d32f0e/content
Parallel Path Progression DAG Scheduling
002> /CHT <FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef69069752865bc666e901a554652d965874ef6768467e5770b548c52175370300260a853ef4ee54f7f75280020004100630 [...] 〈v1, v2, v3〉, π2 := 〈v1, v4, v5, v9〉, π3 := 〈v1, v4, v5, v6〉, π4 := 〈v1, v7, v5, v9〉, π5 := 〈v1, v7, v5, v6〉, and π6 := 〈v1, v7, v8〉. A 2-path col- lection ψ from the powerset P(Ψ(G)) is for instance given [...] model has been studied for global [5], [7], [30] and partitioned scheduling [4], [6], [16], [17].
UETER et al.: PARALLEL PATH PROGRESSION DAG SCHEDULING 3015
Fig. 7. Over-provisioning for layer-by-layer …