Optimal placement-aware trace-based scheduling of hardware reconfigurations for FPGA accelerators

10.1109/FCCM.2009.49Proceedings - IEEE Symposium on Field Programmable Custom Computing Machines, FCCM 2009279-28

Auctions with Arbitrary Deals

To come to a deal, a bargaining process can sometimes take a long time. An auction may be a faster, but existing auction models cannot cope with situations where money is not an issue, or where it is difficult to express the utility of all participants in a monetary domain. We propose a modified Vickrey auction based only on preferences over the possible bids. This approach also allows for situations where a bid is not just a price or some fixed set of attributes, but can be any possible offer. We prove that in this flexible, generalized setting, the Vickrey mechanism is still incentive compatible and results in a Pareto-efficient solution.Software Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc

Emerging Multiple e-Auctions

We review the emerging field of multiple issue e-auctions and discuss their design features and performance criteria. We primarily consider B2B transactions in a reverse auction, that is, a procurement setting. In traditional auctions, the matching of buyers and sellers is typically based just on price. However, when there are quality and other differences in the merchandize and differences in the terms of the transaction, which are common in Request for Quotes (RFQs), additional issues besides price should be considered. Such multiple issue, multiple unit e-auctions/ negotiations, and their characteristics are the focus of our paper. We also discuss the role that OR has played and undoubtedly will play in the design and implementation of such e-auctions.e-procurement;B2B;e-negotiations;multiple issue auctions;online auctions

Interprocedural placement-aware configuration prefetching for FPGA-based systems

10.1109/FCCM.2010.35Proceedings - IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2010179-18

Emerging Multiple e-Auctions

We review the emerging field of multiple issue e-auctions and discuss their design features and performance criteria. We primarily consider B2B transactions in a reverse auction, that is, a procurement setting. In traditional auctions, the matching of buyers and sellers is typically based just on price. However, when there are quality and other differences in the merchandize and differences in the terms of the transaction, which are common in Request for Quotes (RFQs), additional issues besides price should be considered. Such multiple issue, multiple unit e-auctions/ negotiations, and their characteristics are the focus of our paper. We also discuss the role that OR has played and undoubtedly will play in the design and implementation of such e-auctions

Paramétrage de l'interception de la neige par le couvert forestier

International audienceSnow interception drives spatial heterogeneity of snow under forest canopies and displays significant differencesbetween forested, open and alpine areas at a variety of scales. Beyond giving a first order control on snow accu-mulation, interception by canopy drives other processes. A prime example is canopy albedo, as large differencesare readily visible between forest canopy albedo with and without intercepted snow. As such a correct parameteri-zation of interception is necessary as it drives many physical processes important for snow hydrology, climatologyand meteorology studies. However, current parameterizations of snow interception have not always beenable to preserve the large variance of snow beneath canopies at all scales. Various snow interception parameter-izations are applied in land surface models but are generally not validated for different snow climates and/or scales.Here, we developed parameterizations for spatial mean and standard deviation of interception over horizon-tal scales of 50 m. They were developed from a comparison of (1) computed forest structure metrics (sky viewfactor and standard deviation) from a high-resolution Lidar derived digital terrain model and (2) an existingdataset of several thousand interception measurements collected after nine storm events in a coniferous forest inthe Eastern Swiss Alps. By scaling open area snow precipitation with the calculated forest structure metrics, wecomputed spatial mean and standard deviation of forest canopy interception. We obtained similar performancestatistics compared to previously suggested parameterizations, i.e. a RMSE of 1.3 cm (1 mm SWE) for spatialmean and 0.6 cm (0.4 mm SWE) for the standard deviation of canopy interception.Furthermore, we then validated both new interception parameterizations with data from two different geo-graphic regions and snow climates, namely from a study site in Utah, U.S. and one in the French Alps. Thiscomparison suggests that our sub-grid parameterizations for snow interception are applicable in models to describesnow depth heterogeneities for different snow climates and mountain forest environment

Drug-drug interactions that should be noninterruptive in order to reduce alert fatigue in electronic health records

Objective Alert fatigue represents a common problem associated with the use of clinical decision support systems in electronic health records (EHR). This problem is particularly profound with drug–drug interaction (DDI) alerts for which studies have reported override rates of approximately 90%. The objective of this study is to report consensus-based recommendations of an expert panel on DDI that can be safely made non-interruptive to the provider's workflow, in EHR, in an attempt to reduce alert fatigue. Methods We utilized an expert panel process to rate the interactions. Panelists had expertise in medicine, pharmacy, pharmacology and clinical informatics, and represented both academic institutions and vendors of medication knowledge bases and EHR. In addition, representatives from the US Food and Drug Administration and the American Society of Health-System Pharmacy contributed to the discussions. Results Recommendations and considerations of the panel resulted in the creation of a list of 33 class-based low-priority DDI that do not warrant being interruptive alerts in EHR. In one institution, these accounted for 36% of the interactions displayed. Discussion Development and customization of the content of medication knowledge bases that drive DDI alerting represents a resource-intensive task. Creation of a standardized list of low-priority DDI may help reduce alert fatigue across EHR. Conclusions Future efforts might include the development of a consortium to maintain this list over time. Such a list could also be used in conjunction with financial incentives tied to its adoption in EHR