Lock-free internal binary search trees with memory management
... programs because it is often difficult to determine a safe time for memory to be deallocated. Shared memory which is concurrently accessible can be removed from the visibility of any new thread accessing the shared data, but threads executing while the shared data was still visible could still attem ...
... programs because it is often difficult to determine a safe time for memory to be deallocated. Shared memory which is concurrently accessible can be removed from the visibility of any new thread accessing the shared data, but threads executing while the shared data was still visible could still attem ...
Concurrent Data Structures (Book Chapter).
... The primary source of this additional difficulty is concurrency: Because threads are executed concurrently on different processors, and are subject to operating system scheduling decisions, page faults, interrupts, etc., we must think of the computation as completely asynchronous, so that the steps ...
... The primary source of this additional difficulty is concurrency: Because threads are executed concurrently on different processors, and are subject to operating system scheduling decisions, page faults, interrupts, etc., we must think of the computation as completely asynchronous, so that the steps ...
A Simple Optimal Representation for Balanced Parentheses
... block. Compute i, the change in left excess between p and p∗ , using a table lookup. Noting that µ(p) is the leftmost closing parenthesis in b(µ(p∗ )) starting from µ(p∗ ), with right excess i relative to µ(p∗ ), we locate µ(p) using a table. findopen is similar. enclose(c): Let p = enclose(c) such ...
... block. Compute i, the change in left excess between p and p∗ , using a table lookup. Noting that µ(p) is the leftmost closing parenthesis in b(µ(p∗ )) starting from µ(p∗ ), with right excess i relative to µ(p∗ ), we locate µ(p) using a table. findopen is similar. enclose(c): Let p = enclose(c) such ...
LI3120702076
... Vol. 3, Issue 1, January -February 2013, pp.2070-2076 Also we executed out simulation program for case swim trace, with all 3 different cache sizes and compared with each other. When cache size is 128 then skip list perform 3% and 4% better than self adjustable doubly circular link list and splay tr ...
... Vol. 3, Issue 1, January -February 2013, pp.2070-2076 Also we executed out simulation program for case swim trace, with all 3 different cache sizes and compared with each other. When cache size is 128 then skip list perform 3% and 4% better than self adjustable doubly circular link list and splay tr ...
ESWC2015.pdf
... between RDF terms [9] and compresses the common prefixes with a novel variation of a Trie [11]. Tries are often used for this type of problems, but standard implementations are memory inefficient when loaded with skewed data [13], as is the case with RDF [16]. To address this last issue, we present ...
... between RDF terms [9] and compresses the common prefixes with a novel variation of a Trie [11]. Tries are often used for this type of problems, but standard implementations are memory inefficient when loaded with skewed data [13], as is the case with RDF [16]. To address this last issue, we present ...
Stronger Lempel-Ziv Based Compressed Text Indexing | SpringerLink
... occ) log u) and a space requirement of O(uHk (T )) bits, plus the text (as it is needed to operate) [41]. Navarro’s LZ-index [39, 40], on the other hand, is a compressed full-text self-index based on the Lempel-Ziv 1978 [48] (LZ78 for short) parsing of the text. See Sect. 2.3 for a description of th ...
... occ) log u) and a space requirement of O(uHk (T )) bits, plus the text (as it is needed to operate) [41]. Navarro’s LZ-index [39, 40], on the other hand, is a compressed full-text self-index based on the Lempel-Ziv 1978 [48] (LZ78 for short) parsing of the text. See Sect. 2.3 for a description of th ...
Complete Mining of Frequent Patterns from Graphs
... Among the aforementioned classes of the subgraph, the general subgraph is the most general. However, the general subgraph does not represent the topological substructure of the original graph sufficiently, because many general subgraphs lack the information of links among the nodes. For example, a set ...
... Among the aforementioned classes of the subgraph, the general subgraph is the most general. However, the general subgraph does not represent the topological substructure of the original graph sufficiently, because many general subgraphs lack the information of links among the nodes. For example, a set ...
Interfaces
... "natural ordering" of objects. For strings, it is alphabetic ordering. For Double and Integer it is what we already know: 3 < 4 and 1.2 > 1.1, for example. In the case of BankAccount, we will see that one BankAccount can be made to be "less than" another when its ID precedes the other's ID alphabeti ...
... "natural ordering" of objects. For strings, it is alphabetic ordering. For Double and Integer it is what we already know: 3 < 4 and 1.2 > 1.1, for example. In the case of BankAccount, we will see that one BankAccount can be made to be "less than" another when its ID precedes the other's ID alphabeti ...
![ADS@Unit-3[Priority Queues]](http://s1.studyres.com/store/data/001436107_1-e08a2e00715b31b0a0c8bb0589fdbb6e-300x300.png)
space-efficient data structures for collections of textual data
... nonetheless, a large amount of recent literature has shown that in many applications they can have performance competitive with classical data structures, while offering a significant reduction in space. The recent interest in succinct data structures for practical applications can be attributed to ...
... nonetheless, a large amount of recent literature has shown that in many applications they can have performance competitive with classical data structures, while offering a significant reduction in space. The recent interest in succinct data structures for practical applications can be attributed to ...
A Transactional Flash File System for Microcontrollers Abstract
... The only disk-oriented file systems that addresses at least some of these issues are log-structured file systems [3, 4], which indeed have been used on flash devices, often with flash-specific adaptations [5, 6, 7, 8]. But even log-structured file systems ignore some of the features of flash device ...
... The only disk-oriented file systems that addresses at least some of these issues are log-structured file systems [3, 4], which indeed have been used on flash devices, often with flash-specific adaptations [5, 6, 7, 8]. But even log-structured file systems ignore some of the features of flash device ...
Data Structures 1
... Traverse proper bucket, looking for binding with given key Stop when key found, or reach end Performance: O(1) => fast Is the search performance Free always fast? • Traverse each bucket, freeing bindings • Free Table structure • Performance: O(n) => slow ...
... Traverse proper bucket, looking for binding with given key Stop when key found, or reach end Performance: O(1) => fast Is the search performance Free always fast? • Traverse each bucket, freeing bindings • Free Table structure • Performance: O(n) => slow ...
Inverted Indexes for Phrases and Strings∗
... The most popular data structure in the field of Information Retrieval is the inverted index. For a given collection of documents, the index is defined as follows. Each word in this collection is called a term and corresponding to each term we maintain a list, called inverted list, of all the documen ...
... The most popular data structure in the field of Information Retrieval is the inverted index. For a given collection of documents, the index is defined as follows. Each word in this collection is called a term and corresponding to each term we maintain a list, called inverted list, of all the documen ...
Chapter 8 DYNAMIC DATA STRUCTURES AND LISTS 8.1 Pointers
... dynamic data structures. Dynamic data structures are data structures that expand and contract as a program executes. A dynamic data structure is a collection of elements (called nodes) that are records. Unlike an array that always contains storage for a fixed number of elements, the number of record ...
... dynamic data structures. Dynamic data structures are data structures that expand and contract as a program executes. A dynamic data structure is a collection of elements (called nodes) that are records. Unlike an array that always contains storage for a fixed number of elements, the number of record ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.