Programming and IT development are forward-looking industries that make life easier for the world’s population. The paper provided by Postiff et al. explains the problem of dependencies that cannot be characterized properly and used efficiently. There are three main types: resource dependencies, control dependencies, and data dependencies, which are subjected to rapid improvements with the development of technologies (Postiff et al.). To solve the problem of the negative influence of dependencies, the experts decided to follow the benchmark execution using different formulas and tables. This type of data representation allowed developers to catch parts of programs free of dependencies and see how they might potentially influence them. Moreover, the renaming methods were applied to compare dependencies and validate their performance.
By dividing the whole program into small parts, it is easier to identify the gaps in the programming process. I believe that the solution of renaming is one of the most efficient as the concept allows registering the eliminated WAR and WAW dependencies to calculate issues using specific formulas. Additionally, experts can use memory renaming to detect false dependencies and delete them without harming other beneficial flows. When dependencies start developing in the memory, they are not destroyed by the renaming process but are analyzed more accurately (Postiff et al.). Nevertheless, problems like an overload of instruction and high costs might appear.
According to Postiff et al., the length of instructions might be longer than the chain of dependencies, and testing efficiency might decrease and raise expenditures. My perception of the problem solution is positive, as it is crucial to produce a new way of testing with the development of technologies. Even though the results may not be accurate during the process, the changes help in the future progress of programming.
Reference
Postiff, M. A., Greene, D. A, & Tyson, G. S. (n.d.). The limits of instruction-level parallelism in SPEC95 applications. The University of Michigan, 1-10.