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The first of the set of logical operators is the ! operator, which is commonly referred to as the NOT operator. For example, !A is pronounced not A. The ! operator turns true into false and false into true. Table 6-2 shows the truth table for the ! operator. In this table, T stands for true, which has the value 1, and F stands for false, which has the value 0. The letter A in the table represents an expression. If the expression A is true, applying the ! operator to A yields the value false. If the expression A is false, applying the ! operator to A yields the value true.

1422 Fisher's Optimism At the other end of the spectrum is a study performed by Nicolau and Fisher in 1984 at Yale University This study hints-at almost unlimr- ited amounts of ILP in many projgramsuThe benchmarks used in this study tend to be more numerical, and some of the parallelisms measured were due to data parallelism resulting from array-type data sets An idealized machine model capable of executing many instructions simultaneously was assumed While some idealized assumptions were made in this study, it does present a refreshing optimistic outlook on the amount of ILP that can be harvested against the pessimism due to Flynn's botdeneck W^jn&rjrnaUyj-efer to this purportedjimkon BLP as Fisher'soptimisitL^ Initially this optimism was received with a great deal of skepticism A number of subsequent events somewhat vindicated this study First a prototype machine model called the VLIW (very long instruction word) processor was developed along with a supporting compiler [Fisher, 1983] Subsequently, a commercial venture (Multiflow, Inc) was formed to develop a realistic VLIW machine, which resulted in the Multiflow TRACE computer The TRACE machines were supported by a powerful VLIW compiler that employs trace scheduling (developed by Josh Fisher et al) to extract instruction-level parallelism [Fisher, 1981] Multiflow, Inc, was reasonably successful and eventually had an installed base of more than 100 machines More importantly, the short-lived commercial TRACE machines were the first general-purpose uniprocessors to achieve an average IPC greater than one Although the actual levels of ILP achieved by the TRACE machines were far less than the limits published earlier by Nicolau and Fisher in 1984, they did substantiate the claims that there are significant amounts of ILP that can be harvested beyond the previously accepted limit of 2 1423 Contributing Factors Many of the studies on the limits of ED employ different experimental approaches and make different assumptions Three key factors contribute to the wide range of experimental results: benchmarks used, machine models assumed, and compilation techniques employed Each study adopts its own set of benchmarks, and frequently the results are strongly influenced by the benchmarks chosen Recently, the Standard Performance Evaluation Corporation (SPEC) benchmark suites have become widely adopted, and most manufacturers of processors and computing systems provide SPEC ratings for their systems While strict guidelines exist for manufacturers to report the SPEC ratings on their products (see wwwspecorg), there are still quite nonuniform uses of the SPEC ratings by researchers There are also strong indications that the SPEC benchmark suites are only appropriate for workstations running scientific and engineering applications, and are not relevant for other application domains such as commercial transaction processing and embedded real-time computing The second key factor that contributes to the confusion and controversy on the limits of ILP is the assumptions made by the various studies about the machine model Most of the limit studies assume idealized machine models For example, the cache memory is usually not considered or is assumed to have a 100% hit rate with one-cycle latency Some models assume infinite-sized machines with infinite register files Usually one-cycle latency is assumed for all operation and functional.

Here s a piece of code that demonstrates the ! operator:

bool myFirstBool, mySecondBool;

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myFirstBool = false; mySecondBool = ! myFirstBool;

The first thing you ll notice about this chunk of code is the new data type, bool. A bool can hold either a 0 or a 1. That s it. bools are perfect for working with logical operators. Our example starts by declaring two bools. We assign the value false to the first bool, and then use the ! operator to turn the false into a true and assign it to the second bool.