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Using the FTP Browser . . . . . . . . . . . . . . . . . . Entering your FTP settings . . . . . . . . . . . . Connecting to an FTP site via the FTP Browser Working within the FTP Browser . . . . . . . . . Disconnecting from the FTP Browser . . . . . . Setting FTP Preferences . . . . . . . . . . . . . . . . . Updating FTP server settings . . . . . . . . . . . Uploading options . . . . . . . . . . . . . . . . . General network options for FTP . . . . . . . . . Tracking Server Access Errors . . . . . . . . . . . . . Viewing server access messages . . . . . . . . . Saving your server access log as a text file . . . Setting server access preferences . . . . . . . . Exporting Your Site . . . . . . . . . . . . . . . . . . . . Setting export options . . . . . . . . . . . . . . . Performing the export . . . . . . . . . . . . . . .

undraising has been a field defined by slow evolution, low-level technological advances, labor-intensive practices, and relatively expensive time and resource requirements. At the very end of the last century, the Internet arrived, bringing dramatic changes. Suddenly, almost any organization could increase the use of technology, streamline the use of labor, and reduce expenses in ways that were once available only to larger, older institutions with significant budgets and expertise. Foundation and corporate fundraising was once thought of as tiresome, mysterious, and even downright scary to the small institution or novice in the fundraising profession. Only a decade ago, researching a foundation or corporation often required getting in a car, driving to a local library, and reading through books and microfilm or subscribing to a number of different expensive publications that often contained outdated information. As recent as the early 1990s, gaining access to public companies most recent annual reports required having a good relationship with a stockbroker or waiting months to receive copies via the mail. Access to this information was not enough. Researchers often took days, weeks, and months locating, analyzing, and recording data to be used in the effective solicitation of prospects. Now more and more companies are putting their annual reports on their Web sites, philanthropic foundations have started providing funding applications online, and Web sites such as www.sec.gov and www.guidestar.org offer free financial information on companies and foundations. Professional fundraisers have wisely realized that the Internet has the potential to dramatically affect their corporate and foundation fundraising efforts.

are at least as fast as their graph-based counterparts, M-repart and M-scratch, on sparse data sets such as xyce680s. Z-re ne is signi cantly faster than all others in this data set; therefore, it becomes a viable option for applications that require a very fast repartitioner for small -values. The second runtime pro le is displayed in Figure 15.15 for 2DLipid. In this case, although graph-based repartitioning runs faster for small number of parts, with increasing number of parts its execution time increases as well and becomes comparable to that of hypergraph-based repartitioning. This behavior is probably due to direct k-way re nement strategies used in the graph partitioner. When a dense graph such as 2DLipid is partitioned, the number of computations done by the partitioner increases with increasing number of parts, since it becomes more likely to have an adjacent vertex on every processor. The last runtime pro le is observed for cage14, auto and apoa1-10. We omitted results for auto and apoa1-10 and presented results for only cage14 in Figure 15.16, which is the largest graph in this class. The results show that hypergraph-based repartitioning can be up 10 times slower than graph-based approaches. Runtime results averaged over all graphs in our data set are presented in Figures 15.17 and 15.18. As shown in these gures, hypergraphbased repartitioning is about ve times slower than graph-based repartitioning on the average. We plan to improve runtime performance by using local heuristics in Zrepart to reduce global communication (e.g., using local matching instead of global matching).

Figure A-49 shows only a few sample applications, many of them using the default slider bar settings. Obviously, jillions of other variations are possible. Have loads of fun.

When designing a data center, plan ahead. New factors unfold and must be resolved before starting the construction phase. Keep the design simple. It is easy to set up and manage. Root causes of problems are easy to identify and resolve. Following are some hints:

5. Choose Draw Donut. Follow these prompts: