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pro vyhledávání: '"Walter Blair"'
Autor:
Walter Blair Stratford
Relationships between people are frequently compromised as a result of religious viewpoints, but appropriate spiritual care requires bridges to understanding that will allow for trust and justice to become visible. The pattern for this book is shaped
Autor:
Mark Twain, Walter Blair
o Includes the authoritative texts for eleven pieces written between 1868 and 1902o Publishes, for the first time, the complete text of'Villagers of 1840-3,'Mark Twain's astounding feat of memoryo Features a biographical directory and notes that refl
This 125th Anniversary edition of Adventures of Huckleberry Finn is expanded with updated notes and references and a selection of original documents—letters, advertisements, playbills—some never before published, from Twain's first'book tour'to
Autor:
Mark Twain, Walter Blair
This volume provides authoritative texts of Twain's unpublished writings, both fictional and factual, about the people and places of his home town, Hannibal, Missouri.A significant part of only one of them,'Jane Lampton Clemens,'has been published; i
Publikováno v:
ICITST
In this paper, we investigate the feasibility and performance improvement of adapting a common stand-alone bioinformatics trimming tool for in-memory processing on a distributed Spark framework. The rapid and continuous rise of genomics technologies
Publikováno v:
ICITST
In this paper, we compare the performance and ease of use of an Apache Spark application deployed via Docker and alternatively via KVM. Docker containers have rapidly grown in popularity for dynamic cloud computing and for general-use application dep
Autor:
Walter Blair
Publikováno v:
Mark Twain's Humor ISBN: 9780203733219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::273591419e230779afcd8a5adde7a6bc
https://doi.org/10.4324/9780203733219-10
https://doi.org/10.4324/9780203733219-10
Publikováno v:
BIBE
In this paper we investigate the use of Unix named pipes and an in-memory datagrid to reduce the I/O requirements of conventional and exploratory genomics processing pipelines. Apache Spark provides an in-memory framework for distributed computationa