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The linear equivalence L(s) of the n-sequence s (s(0), s(1), . . . , s(n 2 1)) is the length of the shortest LFSR that generates s. The principal properties of linear equivalence are summarized in the next proposition. Proposition 8.7: [Beker and Piper, 1982, p. 200; Menezes et al., 1996, p. 198]1 the n-sequence s (s(0), s(1), . . . , s(n 2 1)) If s is of length n; then1 8 < 0 L s n L s 0, : L s n,

perform physics analysis or detector studies The word objects was used loosely to refer to data items in les (in a traditional context) and to transient or persistent objects (in an object-oriented (OO) programming context) The proposal explicitly noted that, often, choices of particular technologies had been avoided since they depended too much on guesswork as to what would make sense or be available in 2005 On the other hand, the model explicitly assumed the use of OO analysis, design and programming With these restrictions, the model s fundamental requirements were simply summed up as, 1 objects that cannot be recomputed must be stored somewhere; 2 physicists at any CMS institute should be able to query any objects (recomputable or not recomputable) and retrieve those results of the query which can be interpreted by a human; 3.

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6. Repeat Steps 4 and 5 as many times as necessary in order to create the desired batch operation. Use the up and down arrow buttons in the Batch Process dialog box in order to move operations up and down in the Include to Batch list. Operations are executed in the order they appear. 7. When you re satisfied that your batch operations are completely specified, click the Next button. The Batch Process dialog box changes again, to a final form that enables you to finalize and execute your batch operation (see Figure 18-17).

the resources devoted to achieving 1 and 2 should be used as ef ciently as possible Probably the most interesting aspect of the model was its treatment of how to make the CMS physics data (objects) persistent The Proposal states at least one currently availableODBMS appears quite capable of handling the data volumes of typical current experiments and requires no technological breakthroughs to scale to the data volumes expected during CMS operation Read performance and ef ciency of the use of storage are very similar to Fortran/Zebra systems in use today Large databases can be created as a federation of moderate (few GB) sized databases, many of which may be on tape to be recalled automatically in the event of an access fault The current product supports a geographically distributed federation of databases and heterogeneous computing platforms.

If you have values in a range named Data, you can determine the smallest value by using the SMALL function:

Automatic replication of key parts of the database at several sites is already available and features for computing (computable) objects on demand are recognized as strategic developments It is thus evident that the concept of a globally distributed computing and data-serving system for CMS was already rmly on the table in 1996 The proponents of the model had already begun to address the questions of computing on demand , replication of data in the global system, and the implications of distributing computation on behalf of end-user physicists Some years later, CMS undertook a major requirements and consensus-building effort to modernize this vision of a distributed computing model to a Grid-based computing infrastructure Accordingly, the current vision sees CMS computing as an activity that is performed on the CMS Data Grid System whose properties have been described in considerable detail [18].

Figure 8.3. The truncated icosahedron (a) and its unfolded surface (b) [Bondyopadhyay 2000, 2001].

Probably the quickest method is to press the D key. This method also just happens to be the coolest!

The CMS Data Grid System speci es a division of labor between the Grid projects (described in this chapter) and the CMS core computing project Indeed, the CMS Data Grid System is recognized as being one of the most detailed and complete visions of the use of Grid technology among the LHC experiments 3942 GIOD In late 1996, Caltech s HEP department, its Center for Advanced Computing Research (CACR), CERN s Information Technology Division, and Hewlett Packard Corporation initiated a joint project called Globally Interconnected Object Databases The GIOD.

8. Save this file in FreeHand 9 format. Open Flash 5 and import the file. In this case,

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