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 A Globally Distributed System for High Energy Physics Computation. Job, Data, and Information Handling for High-Energy Physics
Наименование:

A Globally Distributed System for High Energy Physics Computation. Job, Data, and Information Handling for High-Energy Physics

автор Gabriele G. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 208        мягкая обложка       
Аннотация:This dissertation presents the challenges and the solutions provided in such a computing infrastructure. The SAM-Grid offers a solution to these problems for CDF and DZero, two of the largest high-energy physics experiments in the world, running at Fermilab. The SAM-Grid integrates standard grid middleware, such as Condor-G and the Globus Toolkit, with software developed at Fermilab, organizing the system in three major components: data handling, job handling, and information management. Such a computing infrastructure is called a computational grid. The collaborations consist of hundreds of members from dozens of institutions around the world and the computing power necessary to analyze the data produced surpasses already the capabilities of any single computing center. A software infrastructure capable of seamlessly integrating dozens of computing centers around the world, enabling computing for a large and dynamical group of users, is of fundamental importance for the production of scientific results. The computing infrastructures of the modern high-energy physics experiments need to address an unprecedented set of requirements.
Автор: Gabriele G.
Издательство: Книга по Требованию
Год:2009
Цена:
3190 руб
Нет в наличии
Поиск: A Globally Distributed System for High Energy Physics Computation. Job, Data, and Information Handling for High-Energy Physics
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Работа с двумерными числовыми массивами

Процедура Ge MaxVals, которая, перебирая все строки матрицы, находит в каждой максимальный элемент, записывает его значение в массив maxVal, а его номер столбца в массив maxValCol. Предварительно процедура выделяет необходимую намять для этих массивов. Листинг: 1 { формирует массив максимальных элементов maxVal и массив номеров столбцов, содержащих максимальные элементы maxValCol на основе матрицы arr } procedure Ge MaxVals(var maxVal, maxValCol: Vec or; co s arr: Ma rix); var Row , Col , maxI Row: i eger; begi //выделим необходимый для каждого массива объём памяти Se Le g h(maxVal, high(arr) 1); Se Le g h(maxValCol, high(arr) 1); for Row := low(arr) o high(arr) do begi //для каждой строки maxVal:= low(i eger);//по умолчанию максимальное значение -2147483648 maxValCol:= -1;//по умолчанию номер столбца с макс элементом -1 for Col := low(arr) do begi //для каждого столбца if arr he begi //если элемент больше макс значения, то maxVal;//максимальное значение приравняем элементу maxValCol:= Col ;//номер столбца приравняем текущему столбцу e d; e d; e d; e d; Суммы элементов между диагоналями Далее идут функции, осуществляющие подсчёт сумм элементов выше и ниже пересечения диагоналей, а так же смену местами этих элементов.
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