34 research outputs found

    Constructive Synthesis of Memory-Intensive Accelerators for FPGA From Nested Loop Kernels

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    Selling local food in the city. A comparative study of short food supply chains in Oslo and Bristol

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    This report presents findings from a qualitative survey among actors involved in the production and sale of local food in Oslo and Bristol, with a focus on sales models and challenges and opportunities for direct sales. The actors in Oslo and Bristol had largely the same motivation for local food sales, including environmental sustainability, transparency in the supply chain, creating community, supporting farmers, sharing knowledge about food and agriculture, as well as being a counterweight to the mainstream food system. Climate crisis and food safety were stronger motivational factors among actors in Bristol than in Oslo, while in Oslo there was more emphasis on the importance of local sales channels for food diversity and quality. Several interviewees pointed to lack of economic profitability as one of the most important challenges for the local food producers. It requires a great deal of work both with production, marketing and sales to be economically successful as a small-scale producer. At the same time, buying local food often requires more time, effort and money from consumers compared to shopping in grocery stores. The report points to several possible solutions to these challenges: increased demand for local food due to changes in attitudes, increased cooperation between producers, sales channels, organizations and public authorities to reduce competition and find common solutions, as well as the development of common digital platforms that can create economies of scale and make marketing and deliveries more efficient. It is also important to look at how the public sector, both through grants, procurement and guidance, can facilitate increased production and sale of local food.Selling local food in the city. A comparative study of short food supply chains in Oslo and BristolpublishedVersio

    The use of remotely sensed rainfall for managing drought risk: a case study of weather index insurance in Zambia

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    Remotely sensed rainfall is increasingly being used to manage climate-related risk in gauge sparse regions. Applications based on such data must make maximal use of the skill of the methodology in order to avoid doing harm by providing misleading information. This is especially challenging in regions, such as Africa, which lack gauge data for validation. In this study, we show how calibrated ensembles of equally likely rainfall can be used to infer uncertainty in remotely sensed rainfall estimates, and subsequently in assessment of drought. We illustrate the methodology through a case study of weather index insurance (WII) in Zambia. Unlike traditional insurance, which compensates proven agricultural losses, WII pays out in the event that a weather index is breached. As remotely sensed rainfall is used to extend WII schemes to large numbers of farmers, it is crucial to ensure that the indices being insured are skillful representations of local environmental conditions. In our study we drive a land surface model with rainfall ensembles, in order to demonstrate how aggregation of rainfall estimates in space and time results in a clearer link with soil moisture, and hence a truer representation of agricultural drought. Although our study focuses on agricultural insurance, the methodological principles for application design are widely applicable in Africa and elsewhere

    Memory-centric VDF Graph Transformations for Practical FPGA Implementation

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    Valved Dataflow For FPGA Memory Hierarchy Synthesis

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