and avoids a time consuming line-search, which CGB and BFGS uses in each iteration in order to determine an appropriate step size. Incorporating problem dependent structural information in the architecture of a neural network often lowers the overall complexity. The smaller the complexity of the neural

and that this reduction in speed leads to impairments in cognitive functioning because of what are termed the limited time mechanism and the simultaneity mechanism. That is, cognitive perfor-mance is degraded when processing is slow because relevant operations cannot be successfully exe-cuted (limited time) and because

programs (with a median of 5 l%), and the overall execution time reduction ranges from 2 % to 23 % (with a median of 7%) on a 333 MHz PowerPC workstation with 128 MB memory. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided

of society as much as everyone else. There is some weak evidence that stabilization from high inflation as well as reductions in the overall size of government not only raise growth but also increase the income share of the poorest fifth in society. Finally we examine several factors commonly thought

periods of unsafe execution, that is, using its novel version-clock validation, user code is guaranteed to operate only on consistent memory states, and (3) in a sequence of high performance benchmarks, while providing these new properties, it delivered overall performance comparable to (and in many cases

be exploited by loops transformed through privatization and reduction parallelization, our methods can speculatively apply these transformations and then check their validity at run--time. Another important contribution of this paper is a novel method for reduction recognition which goes beyond syntactic

by the processor. In our cycle-level simulations, the Markov Prefetcher reduces the overall execution stalls due to in-struction and data memory operations by an average of 54 % for various commercial benchmarks while only using two thrds the memory of a demand-fetch cache organization. 1

A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall

this problem. However, to best design high performance DBMSs we must carefully evaluate and understand the processor and memory behavior of commercial DBMSs on today’s hardware platforms. In this paper we answer the question “Where does time go when a database system is executed on a modern computer platform

by exploiting slack times, both those inherent in the system schedule and those arising from variations of execution times. The proposed run-time mechanism is simple enough to be implemented in most kernels. Experimental results show that the proposed scheduling method obtains a significant power reduction