According to endogenous growth theory, permanent changes in certain policy variables have permanent effects on the rate of economic growth. Empirically, however, U. S. growth rates exhibit no large persistent changes. Therefore, the determinants of long-run growth highlighted by a specific growth

This paper presents a set of new run-time tests for speculative parallelization of loops that defy parallelization based on static analysis alone. It presents a novel method for speculative array privatization that is not only more efficient than previous methods when the speculation is correct

. This paper demonstrates that signicant improvements to automatic parallelization technology require that existing systems be extended in two ways: (1) they must combine high-quality compile-time analysis with low-cost run-time testing; and, (2) they must take control ow into account during

We analyze tests for long-run abnormal returns and document that two approaches yield well-specified test statistics in random samples. The first uses a traditional event study framework and buy-and-hold abnormal returns calculated using carefully constructed reference portfolios. Inference

an approach that reduces the possibility that the system will fail as consequence of interoperability issues among runtime discovered services, and after that sensible data have been provided by the citizen. The approach uses run-time testing to assess interoperability between services, and model

, California 94704 z Computer Science Division, U.C. Berkeley, Berkeley, California 94720, Supported by an IBM Graduate Fellowship and NSF Grant No. CCR 88-13632. the original running time of P . We present general techniques for constructing simple to program selftesting /correcting pairs for a variety

dependences can be eliminated or privatization is possible. These conditions, which can consist of arbitrary program statements, can be used both to enhance compile-time analysis and to introduce run-time tests that guard safe execution of a parallelized version of a computation. We have implemented

Abstract—Requirements awareness should help optimize requirements satisfaction when factors that were uncertain at design time are resolved at runtime. We use the notion of claims to model assumptions that cannot be verified with confidence at design time. By monitoring claims at runtime

the system enters configurations emerging at run-time that could not have been validated in advance. Reasoning about such emerging behavior is difficult because previously-established sys-tem invariants do not hold, changes are implemented by both human and software agents, and externally-imposed deadlines

and applies a fully parallel data dependence test to check for any unsatisfied data dependencies; if the test fails, then the loop is re--executed serially. We will present the principles of the design and implementation of a compiler that employs both run-time and static techniques to parallelize dynamic