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This pattern discusses data sharing in parallel algorithms and how to deal with typical forms of shared data Forces The goal of this pattern is to identify what data is shared among groups of tasks and determine how to manage access to shared data in a way that is both correct and efficient Data sharing can have major implications for both correctness and efficiency

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Generate PDF File at Runtime in ASP . Net - C# Corner
19 Jul 2014 ... This article describes how to generate a PDF file at runtime in ASP . NET . ... A4, 25 , 10, 25, 10);; PdfWriter pdfWriter = PdfWriter .

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Sending individual bits of data from node to node is not very cost effective, as a fair bit of overhead is involved in relaying the necessary address information every time a byte of data is transmitted Most networks, instead, group data into packets Packets consist of a header and data segment, as shown in Figure 1-1 The header contains addressing information (such as the sender and the recipient), checksums to ensure that a packet has not been corrupted, as well as other useful information that is needed for transmission across the network The data segment contains sequences of bytes, comprising the actual data being sent from one node to another Since the header information is needed only for transmission, applications are interested only in the data segment Ideally, as much data as possible would be combined into a packet, in order to minimize the overhead of the headers However, if information needs to be sent quickly, packets may be dispatched when nearly empty Depending on the type of packet and protocol being used, packets may also be padded out to fit a fixed length of bytes Figure 1-1 Pictorial representation of a packet header

If the sharing is done incorrectly, a task may get invalid data due to a race condition; this happens often in shared address space environments, where a task can read from a memory location before the write of the expected data has completed Guaranteeing that shared data is ready for use can lead to excessive synchronization overhead For example, an ordering constraint can be enforced by putting barrier operations[1] before reads of shared data This can be unacceptably inefficient, however, especially in cases where only a small subset of the UEs are actually sharing the data A much better strategy is to use a combination of copying into local data or restructuring tasks to minimize the number of times shared data must be read

When a node on the network is ready to transmit a packet, a direct connection to the destination node is usually not available Instead, intermediary nodes carry packets from one location to another, and this process is repeated indefinitely until the packet reaches its destination Due to network conditions (such as congestion or network failures), packets may take arbitrary routes, and sometimes they may be lost in transit or arrive out of sequence This may seem like a chaotic way of communicating, but as will be seen in later chapters, there are ways to guarantee delivery and sequencing Indeed, the properties of guaranteed delivery and sequential order are often irrelevant to certain types of applications (such as streaming video and audio, where it is more important to present current video frames and audio segments than to retransmit lost ones) When these properties are necessary, networking software can keep track of lost packets and out-ofsequence data for applications Packet transmission and transmission of raw bits of information are low-level processes, while most network programming deals with high-level transmission of data Rather than simultaneously covering the gamut of transmission from raw bytes to packets and then to actual program data, it is helpful to conceive of these different types of communication as comprising individual layers