![PPT - UNSW](http://s1.studyres.com/store/data/000732286_1-84b2946d140c89d179108e2fc2a4b49e-300x300.png)
DCell
... A fundamental challenge in data center networking is how to efficiently interconnect an exponentially increasing number of servers. This paper presents DCell, a novel network structure that has many desirable features for data center networking. DCell is a recursively defined structure, in which a h ...
... A fundamental challenge in data center networking is how to efficiently interconnect an exponentially increasing number of servers. This paper presents DCell, a novel network structure that has many desirable features for data center networking. DCell is a recursively defined structure, in which a h ...
Online-Autotuning of Parallel SAH kD-Trees - IPD Tichy
... a lot of primitives from ever being considered for intersection with a ray. For such situations it makes sense to only construct the spatial data structure to a certain level of detail, and only compute higher resolutions when and where needed. We implement a lazy variation of the in-place parallel ...
... a lot of primitives from ever being considered for intersection with a ray. For such situations it makes sense to only construct the spatial data structure to a certain level of detail, and only compute higher resolutions when and where needed. We implement a lazy variation of the in-place parallel ...
ARRAY DATA STRUCTURE
... An array is a data structure common to all modern programming languages. Arrays are temporary data structures, that is they only exist so long as the program is running. Once the program is terminated any data contained in an array is lost. To use the built in Array object you must first create an i ...
... An array is a data structure common to all modern programming languages. Arrays are temporary data structures, that is they only exist so long as the program is running. Once the program is terminated any data contained in an array is lost. To use the built in Array object you must first create an i ...
20 Introduction to Lists
... lyst = LinkedList() # Add some numbers to lyst # Traverse the list to increment ‘em all rator = lyst.listIterator() while rator.hasNext(): number = rator.next() rator.replace(number + 1) ...
... lyst = LinkedList() # Add some numbers to lyst # Traverse the list to increment ‘em all rator = lyst.listIterator() while rator.hasNext(): number = rator.next() rator.replace(number + 1) ...
Priority Queues (Heaps)
... • The main problem with this algorithm is that it uses an extra array for the items exiting the heap. • We can avoid this problem as follows: – After each deleteMin, the heap shrinks by 1. – Thus the cell that was last in the heap can be used to store the element that was just deleted. – Using this ...
... • The main problem with this algorithm is that it uses an extra array for the items exiting the heap. • We can avoid this problem as follows: – After each deleteMin, the heap shrinks by 1. – Thus the cell that was last in the heap can be used to store the element that was just deleted. – Using this ...
No Slide Title
... - an array-based tree that has heap order - maximum heap: if v[i] is a parent, then v[i] v[2i+1] and v[i] v[2i+2] (a parent is its children) - root, v[0], is the maximum value in the vector - minimum heap: the parent is its children. - v[0] is the minimum value - Insertion: place the new val ...
... - an array-based tree that has heap order - maximum heap: if v[i] is a parent, then v[i] v[2i+1] and v[i] v[2i+2] (a parent is its children) - root, v[0], is the maximum value in the vector - minimum heap: the parent is its children. - v[0] is the minimum value - Insertion: place the new val ...
Chapter 19 Java Data Structures
... exceeded, create a new larger array and copy all the elements from the current array to the new array. The other approach is to use a linked structure. A linked structure consists of nodes. Each node is dynamically created to hold an element. All the nodes are linked together to form a list. Liang, ...
... exceeded, create a new larger array and copy all the elements from the current array to the new array. The other approach is to use a linked structure. A linked structure consists of nodes. Each node is dynamically created to hold an element. All the nodes are linked together to form a list. Liang, ...
First
... 2) It must be possible to test whether a list is empty. 3) It must be possible to obtain the length of a list. 4) It must be possible to add an element anywhere in a list. 5) It must be possible to remove an element anywhere in a list. 6) It must be possible to inspect or update an element anywhere ...
... 2) It must be possible to test whether a list is empty. 3) It must be possible to obtain the length of a list. 4) It must be possible to add an element anywhere in a list. 5) It must be possible to remove an element anywhere in a list. 6) It must be possible to inspect or update an element anywhere ...
Parametric and Kinetic Minimum Spanning Trees
... easily seen to be ((x=m)K (n; m)).) We do not use separate notations for the number of trees in functionally and structurally kinetic problems, since the simulations between each kind of kinetic algorithm causes these numbers to be the same to within a constant factor. If a sequence of structurally ...
... easily seen to be ((x=m)K (n; m)).) We do not use separate notations for the number of trees in functionally and structurally kinetic problems, since the simulations between each kind of kinetic algorithm causes these numbers to be the same to within a constant factor. If a sequence of structurally ...
24slide - KSU Web Home
... trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list. Initially, an array, say data of Object[] type, is created with a default size. When inserting a new element into the array, first ensure there is enough room in the array. I ...
... trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list. Initially, an array, say data of Object[] type, is created with a default size. When inserting a new element into the array, first ensure there is enough room in the array. I ...
Quadtree
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features: They decompose space into adaptable cells Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits The tree directory follows the spatial decomposition of the quadtree.