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I am attempting to convert the contents of several PDF files into plain text ... your only remaining chance is OCR , because the PDF might embed ... compensation e is scheduled on P3 (vice versa in the classic model (Figure 51)) Also, f is scheduled on P1 to avoid contention on L1 Figure 720(a) shows the intermediate schedule at this point Then, g and i are scheduled on the processors of their parent nodes The following node h is decisive for the rest of the schedule: its earliest start time is on P1 , but its entering edge eeh now blocks L1 for the entering communication of j, which is quite large Thus, j and k must be scheduled on P1 The nal schedule length (24) (Figure 720(b)) is not longer than in the classic model (Figure 51), but here more nodes are executed on P1 and less interprocessor communications are performed Hence, list scheduling achieves in this example the desired contention awareness in its scheduling decisions In general, the schedule lengths under the contention model and the classic model are not directly comparable Contention aware scheduling produces normally longer schedules, but shorter execution times on real machines The experiments in Sinnen and Sousa [172, 176] verify this Complexity The complexity of contention aware list scheduling is similar to list scheduling under the classic model (Section 51) Essentially, only the calculation of the DRT is more complex than in the classic model For example, the complexity of the second part of simple list scheduling (Algorithm 9) with start time minimization and the end technique is as follows To calculate the start time of a node n, the data ready time tdr (n) is computed, which involves the scheduling of n s entering edges The scheduling of an edge includes the determination of the route and its scheduling on each link of the route This is described by O(routing) (see Section 722) for each edge If the route can be determined in O(1) time (calculated or looked up), then O(routing) is just the complexity of the length of the route, as the edge must be scheduled on each link of the route So for all nodes on all processors, calculating the DRT amortizes to O(PEO(routing)) The start time of every node is computed on every processor, that is, O(PV) times; hence, the total complexity is O(P(V + EO(routing))) In comparison, the complexity under the classic model is O(P(V + E)) and with the insertion technique O(V2 + PE) (Section 61) Using the insertion technique in contention aware list scheduling has a complexity of O(V2 + PE2 O(routing)), as the calculation of an edge s start time changes from O(1) to O(E), since there are at most O(E) edges on each link As discussed n Section 722, for many systems O(routing) is at most linear in the number of processors |P| and links |L| Sorting the entering edges of each node according to some heuristic amortizes to O(E log E) for all nodes Thus, the complexity of the second part of list scheduling is then O(P(V + EO(routing)) + E log E) using the end technique and remains O(V2 + PE2 O(routing)) using the insertion technique. remove ocr from pdf mac: Free Online OCR PDF - Best PDF OCR Scanner & Converter Online best pdf ocr software mac Free OCR Tools Review - How to Edit Scanned PDF for free ?
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