3. (E)
Question Type: Inference
We are looking for an inference that both authors would agree on. We know they agree that this divide-and-conquer computing method is best to solve big problems. (E) takes Author B’s term"”parallel"”and applies it to Author A’s example"”climate trends. Based on the passages, we can infer from Author A’s description of climate trend modeling that Author B would agree it’s best suited for parallel computing. We can also infer from the definitions of the computing systems that Author A would agree that "parallel" computing is optimal, even if he or she doesn’t use that term.
(A) is a contradiction. Both authors agree that the massive parallel computing systems are optimal, and the "brute force" approach offered by Author A"”meaning exploration of all possible values (13-14)"”is an approach that these systems are able to take.
(B) also contradicts both authors’ viewpoints"”they are both optimistic about computers for large-scale problems. (23-28, 56-58.)
(C) is both half-scope and an incorrect degree. Author B says nothing about the feasibility being linked to public interest, and Author A does not go so far as to say it’s not feasible"”only that when it has worked, it has garnered sufficient interest. (31-32.)
(D) is out of scope. The passages are not about solving relatively simple problems; they’re about complex computations.