Europe is deeply integrated into global value chains and recent trade tensions raise the question of how European economies would be affected by the introduction of tariffs or other trade barriers. This paper estimates the impact of trade shocks and growth spillovers using value added measures to better gauge the associated costs across European countries.
This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.
The spread of COVID-19, containment measures, and general uncertainty led to a sharp reduction in activity in the first half of 2020. Europe was hit particularly hard—the economic contraction in 2020 is estimated to have been among the largest in the world—with potentially severe repercussions on its nonfinancial corporations. A wave of corporate bankruptcies would generate mass unemployment, and a loss of productive capacity and firm-specific human capital. With many SMEs in Europe relying primarily on the banking sector for external finance, stress in the corporate sector could easily translate into pressures in the banking system (Aiyar et al., forthcoming).
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