A Hardware Processing Unit for Point Sets
... for minimal thread-storage overhead. All external memory accesses are handled by a central memory manager and supported by data and kd-tree caches. In order to provide optimal performance on a limited hardware, our processing module is also implemented using a fixed function data path design. Progra ...
... for minimal thread-storage overhead. All external memory accesses are handled by a central memory manager and supported by data and kd-tree caches. In order to provide optimal performance on a limited hardware, our processing module is also implemented using a fixed function data path design. Progra ...
2004: Gang Qian
... This is not only for his great help in my learning as a Ph.D. student, but also for his friendship and unconditional academic support. Many ideas presented in this thesis were formed through discussions with Dr. Zhu and Dr. Pramanik. I express my sincere gratitude to my thesis committee, Dr. Hira Ko ...
... This is not only for his great help in my learning as a Ph.D. student, but also for his friendship and unconditional academic support. Many ideas presented in this thesis were formed through discussions with Dr. Zhu and Dr. Pramanik. I express my sincere gratitude to my thesis committee, Dr. Hira Ko ...
COMP9024: Data Structures and Algorithms
... A group of children sit in a circle passing an object, called “potato”, around the circle. The potato begins with a starting child in the circle, and the children continue passing the potato until a leader rings a bell, at which point the child holding the potato must leave the game after handing th ...
... A group of children sit in a circle passing an object, called “potato”, around the circle. The potato begins with a starting child in the circle, and the children continue passing the potato until a leader rings a bell, at which point the child holding the potato must leave the game after handing th ...
PPT - UNSW
... A group of children sit in a circle passing an object, called “potato”, around the circle. The potato begins with a starting child in the circle, and the children continue passing the potato until a leader rings a bell, at which point the child holding the potato must leave the game after handing th ...
... A group of children sit in a circle passing an object, called “potato”, around the circle. The potato begins with a starting child in the circle, and the children continue passing the potato until a leader rings a bell, at which point the child holding the potato must leave the game after handing th ...
Practical lock-freedom - Cambridge Computer Lab
... structures: skip lists, binary search trees (BSTs), and red-black trees. These are interesting not only because of the fundamental importance of searching in computer science and its wide use in real systems, but also because they demonstrate the issues involved in implementing non-trivial lock-free ...
... structures: skip lists, binary search trees (BSTs), and red-black trees. These are interesting not only because of the fundamental importance of searching in computer science and its wide use in real systems, but also because they demonstrate the issues involved in implementing non-trivial lock-free ...
QUERY-ANSWERING*
... space and query time). All these methods rely on fairly sophisticated tree structures with substantial implementation overhead. We can circumvent these difficulties by using a drastically different method based on filtering search. This will allow us to achieve both optimal space (s(n)- n) and optim ...
... space and query time). All these methods rely on fairly sophisticated tree structures with substantial implementation overhead. We can circumvent these difficulties by using a drastically different method based on filtering search. This will allow us to achieve both optimal space (s(n)- n) and optim ...
Linked Lists
... found = false; // set found to false while (current != null && !found ) { // search the list Comparable temp = (Comparable) current.info;
if (temp.compareTo(searchItem) >= 0)
found = true;
else // make current point to the next node
current = current.link;
...
... found = false; // set found to false while (current != null && !found ) { // search the list Comparable
DATA STRUCTURES The term data structure is used to describe the
... The start pointer is an ordinary local pointer variable, so it is drawn separately on theleft top to show that it is in the stack. The list nodes are drawn on the right to showthat they are allocated in the heap. Implementation of Single Linked List: Before writing the code to build the above list, ...
... The start pointer is an ordinary local pointer variable, so it is drawn separately on theleft top to show that it is in the stack. The list nodes are drawn on the right to showthat they are allocated in the heap. Implementation of Single Linked List: Before writing the code to build the above list, ...
Fusible Data Structures for Fault-Tolerance
... Fusible data structures satisfy three main properties: recovery, space constraint and efficient maintenance. The recovery property ensures that in case of a failure, the fused structure, along with the remaining original data structures, can be used to reconstruct the failed structure. The space con ...
... Fusible data structures satisfy three main properties: recovery, space constraint and efficient maintenance. The recovery property ensures that in case of a failure, the fused structure, along with the remaining original data structures, can be used to reconstruct the failed structure. The space con ...
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store ""items"" (such as numbers, names and etc.) in memory. They allow fast lookup, addition and removal of items, and can be used to implement either dynamic sets of items, or lookup tables that allow finding an item by its key (e.g., finding the phone number of a person by name).Binary search trees keep their keys in sorted order, so that lookup and other operations can use the principle of binary search: when looking for a key in a tree (or a place to insert a new key), they traverse the tree from root to leaf, making comparisons to keys stored in the nodes of the tree and deciding, based on the comparison, to continue searching in the left or right subtrees. On average, this means that each comparison allows the operations to skip about half of the tree, so that each lookup, insertion or deletion takes time proportional to the logarithm of the number of items stored in the tree. This is much better than the linear time required to find items by key in an (unsorted) array, but slower than the corresponding operations on hash tables.They are a special case of the more general B-tree with order equal to two.