In the nineteen-eighties, synthetic workloads such as Whetstone and Dhrystone fell out of favor as benchmarks of computer performance because they became unrepresentative of the performance of continuously-evolving applications. Hand-coded synthetic benchmarks take work to develop and maintain, are language feature specific, and are subject to compiler optimizations that eliminate code meant to...

This article presents a novel control scheme for achieving optimal power balancing and congestion management in electrical power systems via nodal prices. We develop a dynamic controller that guarantees economically optimal steady-state operation while respecting all line flow constraints in steady-state. A benchmark example illustrates the effectiveness of the proposed control scheme. 2009 Els...

An algorithm of evolving self-organizing map (ESOM) is proposed as a dynamic version of the Kohonen self-organizing map, where network structure is evolved in an on-line adaptive mode. Experiments have been carried out on some benchmark data sets as well as on macroeconomic data. Results show that ESOM is a good tool for clustering, data analysis, and visualisation.

This paper presents the optimality condition, Bellman’s equation, and an optimal job sequencing policy for a benchmark reentrant line (RL) with finite capacity buffers. The optimal policy is obtained for an infinite horizon discounted cost criterion, and is characterized by an index which is a function of the one-stage cost function and system’s parameters. In addition, when the buffer levels a...

The need to characterize line edge and line width roughness in patterns with sub-50 nm critical dimension challenges existing platforms based on electron microscopy and optical scatterometry. The development of x-ray based metrology platforms provides a potential route to characterize a variety of parameters related to line edge roughness by analyzing the diffracted intensity from a periodic ar...

A Neural Network approach for the discrimination of LHC events according to their invariant-mass topology is presented. Results obtained by running the neural network over the LHC event samples of the EAST benchmark for H → t t → e3j are shown. The neural network, once implemented on a dedicated neural microprocessor, can be used as part of the on-line trigger.

Benchmark first principles calculations of the pure rotational and ro.vibrational transition frequencies and line strengths are presented, using two independent program suites. Both sets of calculations were performed using the same potential energy and dipole surfaces. Our example calculations use recently calculated surfaces for H 2S which have been shown to give good agreement with experimen...

An efficient automatic test pattern generator for IDDQ current testing of CMOS digital circuits is presented. The complete two-line bridging fault set is considered. Genetic algorithms are used to generate compact test sets. Experimental results for ISCAS85 and ISCAS89 benchmark circuits are presented.

Subbasins composing a larger basin can have similar appearing sediment fills that are diachronous. It is important to construct a chronostratigraphic section for each subbasin to correctly correlate between subbasins. A methodology is presented that incorporates the sequence-stratigraphic interpretation of each subbasin, which improves correlation of systems tracts between adjacent and widely s...

We solve the dynamics of on-line Hebbian learning in perceptrons exactly, for the regime where the size of the training set scales linearly with the number of inputs. We consider both noiseless and noisy teachers. Our calculation cannot be extended to non-Hebbian rules, but the solution provides a nice benchmark to test more general and advanced theories for solving the dynamics of learning wit...