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Dynamic priorities are often a mixture of task graph based metrics and the earliest start time, whereby the task graph characteristics are only quanti ed at the beginning of the algorithm and remain unmodi ed For instance, the DLS algorithm (Sih and Lee [169]) de nes its dynamic level using blw and the node s earliest start time on all processors The ETF algorithm by Hwang et al [94] also selects the node processor pair with the earliest start time, breaking ties with blw 52 SCHEDULING WITH GIVEN PROCESSOR ALLOCATION At the de nition of a schedule (De nition 42) in Section 42, it was stated that scheduling is the spatial and temporal assignment of the tasks to the processors List scheduling does this assignment in an integrated process, that is, at the same time a node is assigned to a processor and attributed a start time In fact, when referring to scheduling, normally both the spatial and temporal assignments are meant Yet, it is a natural idea to split this process into its two fundamental aspects: processor allocation and attribution of start times When doing so, there are two alternatives: (1) rst processor allocation, then attribution of start times; and (2) rst attribution of start times, then processor allocation For a limited number of processors, the second alternative is extremely dif cult, because nodes with overlapping execution times have to be executed on different processors Furthermore, without knowledge of the processor allocation, it is not known which communications will be local and which remote Hence, adhering to the processor and precedence constraints (Conditions 41 and 42) would be very dif cult As a consequence, the two-phase scheduling starts with the allocation (or mapping) of the nodes to the processors Based on these considerations, the generic structure of a two-phase heuristic is shown in Algorithm 13 Algorithm 13 Generic Two-Phase Scheduling Algorithm (G = (V, E, w, c), P) Processor allocation/mapping (1) Assign each node n V to a processor P P Scheduling/ordering nodes (2) Attribute a start time ts (n) to each node n V, adhering to Condition 41 (processor constraint) and Condition 42 (precedence constraint) Next it is analyzed how list scheduling can e utilized to handle the second phase of this algorithm The processor allocation (ie, the rst phase) can be determined in many different ways One possibility is to extract it from another schedule, as is done, for example, in the proof of Theorem 51 This is especially interesting when a more sophisticated scheduling model is used in the second phase, like those discussed in s 7 and 8 With such an approach, the scheduling in the rst phase can be considered an estimate, which is re ned in the second phase A genetic algorithm based heuristic for nding a processor allocation is referenced in Section 842 More on processor allocation heuristics can be found in El-Rewini et al [65] and Rayward-Smith et al [159].

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node on every processor That node of all free nodes that allows the earliest start time is selected together with the processor on which this time is achieved The choice of the node and the processor is made simultaneously, based on the state of the partial schedule Two examples for dynamic list scheduling algorithms employing this technique are ETF (earliest time rst) by Hwang et al [94] and DLS (dynamic level scheduling) by Sih and Lee [169] In comparison to the simple list scheduling, the complexity increases by a factor of |V| Evaluating the start time of every free node on every processor is in the worst case O(P(V + E)), which is already the complexity of the simple list scheduling As this step is done |V| times, the total complexity is O(P(V2 + VE)) 513 Node Priorities Discussion of the list scheduling technique distinguished between static and dynamic node priorities ow these priority schemes are realized is discussed in the next paragraphs Static Static priorities are based on the characteristics of the task graph In the simplest case, the priority metric itself establishes a precedence order among the nodes It is then suf cient to order the nodes according to their priorities with any sort algorithm, for example, with Mergesort (Cormen et al [42]), which has a complexity of O(V log V) Prominent examples for such priority metrics are the top and the bottom level of a node (Section 442) Lemma 51 (Level Orders Are Precedence Orders) Let G = (V, E, w, c) be a task graph The nonincreasing bottom level (bl) order and the nondecreasing top level (tl) order of the nodes n V are precedence orders Proof The lemma follows immediately from the recursive de nition of the bottom level and top level in Eqs (443) and (444), respectively A node always has a smaller bottom level than any of its predecessors and a higher top level than any of its successors If the priority metric is not compatible with the precedence constraints of the task graph, a correct order can be established by employing the free node concept Algorithm 12 shows how to create a priority ordered node list that complies with the precedence constraints As mentioned before, the general structure is similar to Algorithm 11, but a priority queue (Q) is used instead of a set (S), because the priorities assigned to the nodes are static The simple list scheduling outlined in Algorithm 9 could be rewritten by using the below algorithm and substituting line 5 with lines 5 and 6 from Algorithm 9 However, then the conceptually nice separation of the rst and the second part of simple list scheduling is lost Suppose the priority queue in Algorithm 12 is a heap (Cormen et al [42]); the algorithm s complexity is O(V log V + E): every node is inserted once in the heap,.

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FreeOCR is a Windows OCR program including the Windows compiled Tesseract free ocr engine. It includes a Windows installer and It is very simple to use and ...

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2 Jan 2019 ... OCR or Optical Character Recognition is the conversion of images containing text into machine-encoded text, maybe from a scanned document. ... There are various free online OCR sites or free software including UWPs on the Microsoft Store that let a user make use of this technology.












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