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Politics and Nation


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generate task graphs where each node in the graph is a normal Python function, and edges between nodes are normal Python objects that are created by one task as ouptuts and used as inputs in another task. After Dask generates these task graphs it needs to execute them on parallel hardware. This is the job of a task scheduler . Different task schedulers exist. Each will consume a task graph and compute the same result, but with different performance characteristics.

Dask has two families of task schedulers:

Single machine scheduler Distributed scheduler

For different computations you may find better performance with particular scheduler settings. This document helps you understand how to choose between and configure different schedulers, and provides guidelines on when one might be more appropriate.

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The threaded scheduler executes computations with a local multiprocessing.pool.ThreadPool . It is lightweight and requires no setup. It introduces very little task overhead, around 50us per task, and because everything occurs in the same process, it incurs no costs to transfer data between tasks. However due to Python’s Global Interpreter Lock (GIL), this scheduler only provides parallelism when your computation is dominated by non-Python code, such as is the case when operating on numeric data in NumPy arrays, Pandas dataframes, or using any of the other C/C++/Cython based projects in the ecosystem.

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. However if your computation is dominated by processing pure Python objects like strings, dicts, or lists, then you may want to try one of the process-based schedulers below (we currently recommend the distributed scheduler on a local machine).

Note: the distributed scheduler described a couple sections below is often a better choice today. we encourage readers to continue reading after this section

The multiprocessing scheduler executes computations with a local multiprocessing.Pool . It is lightweight to use and requires no setup. Every task and all of its dependencies are shipped to a local process, executed, and then their result is shipped back to the main process. This means that it is able to bypass issues with the GIL and provide parallelism even on computations are are dominated by Pure Python code, such as those that process strings, dicts, and lists.

Chapter: The Multilateral System and National Economic Strategies

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Suggested Citation:

The Multilateral System and National Economic Strategies

Session 1


Mark Dadd, ATT

CHARLES WESSNER: To discuss the interaction of national economic strategies and the multilateral trading system, we have a particularly distinguished panel, chaired by Mark Dadd, the chief economist for ATT. His responsibilities include the analysis of economic developments and their implications for ATT. Mr. Dadd has also served as the director of international and commodity economics with W.R. Grace in New York, and as an economic advisor to the United Kingdom's Treasury Delegation here in Washington. He has also been an advisor to the Prime Minister's Office of the United Kingdom on their dealings with the European Community, always a challenging task.

MARK DADD: This morning we are going to talk about the different economic strategies for growth around the world, how and why economic strategies vary between nations, and what those differences mean for the world trading system. This session is designed to provide a descriptive and a theoretical framework for our deliberations.

We have three speakers this morning. Bruce Scott will talk about the different national economic strategies around the world and how they impact growth. He will put these strategies into an economic framework for us.

James Fallows will talk about the different ways countries look at economic policy from a societal and an institutional perspective, focusing on East Asia.

And third, Lawrence Chimerine will talk about the role and importance of trade in U.S. policy and the consequences for the international trading system.

I would like you to bear in mind three things as we go through this session. First, it is clear that the global economic and business environment is changing rapidly. We, in the international business community, are acutely aware of this.

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National economies are becoming more interdependent. Competition is intensifying between companies and countries. Technology is becoming more readily transferrable from one country to another. That puts added pressure on us all to work for new cooperation in these technology and trade policy issues.

Second, trade and economic policy does not have to be a zero-sum game in which one country can gain only at another's expense. The challenge for us is to find a combination of policies that leads to higher income and growth for all participants; in other words, "win-win" in terms of the latest business jargon.

El material publicado bajo una licencia como la es considerado como el equivalente de material en el dominio público; las obras que carezcan de originalidad y los decretos están en el dominio público; unos cuantos gobiernos alrededor del mundo, incluyendo el gobierno federal de los EE.UU., el de California y el de Florida, colocan la mayoría de sus obras, incluyendo la mayoría de sus registros públicos en el dominio público; la guía de la Wikipedia en inglés sobre material de dominio público define de manera más precisa estas muchas excepciones.

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, es decir, documentos permitidos por la excepción anterior, o que no son elegibles para derechos de autor, o para los cuales el copyright ha expirado. Pero el "dominio público" es complicado; las leyes de copyright varían de un país a otro y, por lo tanto, un trabajo puede ser de dominio público en un país, pero aún estar protegido por derechos de autor en otro país. Existen tratados internacionales como el Countdown Package Cheap Price Kimberly Ovitz Rib Knit Bodycon Dress Low Price Fee Shipping For Sale kinK2Vbjc
que establecen algunos estándares mínimos, pero los países individuales son libres de ir más allá de estos mínimos. Una regla general es que "si el creador de una obra ha fallecido hace más de 70 años", sus obras son de dominio público en el país del que era creador era residente y en el país donde la obra se publicó por primera vez. Si el trabajo es anónimo o colaborativo (por ejemplo, una enciclopedia), generalmente es de dominio público 70 años después de la fecha de la primera publicación.

Muchos países usan un término de copyright de 70 años. Una excepción notable es EE. UU. Debido a circunstancias históricas, Estados Unidos tiene reglas más complejas:

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. Estos términos se aplican en los EE. UU. También para obras extranjeras.

Sin embargo, la fecha y lugar de publicación es esencial. En varios países, el material publicado antes de cierta fecha está en el dominio público. En los Estados Unidos esta fecha es el 1 de enero de 1923. Incluso en algunos países, todo el material publicado por el gobierno está en el dominio público, mientras otros gobiernos reclaman algunos derechos (véase Black Halo Draped Cloqué Dress w/ Tags Cheap Hot Sale SoKW4

En los EE.UU., el asunto de los derechos de autor para las grabaciones de sonido (incluidas aquellas publicadas antes de 1923) es un caso complicado. Grabaciones hechas antes del 15 de febrero de 1972 pueden ser catalogadas bajo una ley común que no siempre tienen las mismas formalidades y limitaciones que los derechos de autor federal de los EE.UU. Más detalles están disponibles en {{PD-US-record}} talk page y en este informe Wikilegal .


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