Amorphous Data-parallelism in Irregular Algorithms
... When active nodes are not ordered, the worklist is conceptually an unordered set, and the algorithm iterates over this set of active nodes in some order, performing computations. Since operators may create new active nodes, it must be possible to add new elements to the set while iterating over it, ...
... When active nodes are not ordered, the worklist is conceptually an unordered set, and the algorithm iterates over this set of active nodes in some order, performing computations. Since operators may create new active nodes, it must be possible to add new elements to the set while iterating over it, ...
Offset Addressing Approach to Memory
... the powerful parallelism of multi-core processors. To achieve high-speeds, it is crucial to store the entire forwarding data structure in the on-chip cache. Thus, we need to use memoryefficient data structures for IP lookup. ...
... the powerful parallelism of multi-core processors. To achieve high-speeds, it is crucial to store the entire forwarding data structure in the on-chip cache. Thus, we need to use memoryefficient data structures for IP lookup. ...
Efficient Consistency Proofs for Generalized Queries on a
... an entry with key x?”), the server returns the answer along with a short proof of consistency. (We call a scheme for this task a CQP for membership queries.) A very similar data structure (again, a Merkle tree) also allows one to also answer one-dimensional range queries, e.g. “What keys lie between ...
... an entry with key x?”), the server returns the answer along with a short proof of consistency. (We call a scheme for this task a CQP for membership queries.) A very similar data structure (again, a Merkle tree) also allows one to also answer one-dimensional range queries, e.g. “What keys lie between ...
In-memory hash tables for accumulating text vocabularies
... this drawback — and space management within Btree nodes must be either array-based, giving costly insertion, or tree-based, thus ensuring that B-trees are less space efficient than the other strategies. Skip lists, moreover, require more key comparisons than the other schemes [4]; in our experiments ...
... this drawback — and space management within Btree nodes must be either array-based, giving costly insertion, or tree-based, thus ensuring that B-trees are less space efficient than the other strategies. Skip lists, moreover, require more key comparisons than the other schemes [4]; in our experiments ...
Structures - CS Course Webpages
... • One of the attributes of a linked list is that its data are NOT stored with physical adjaceny- like array data is. • We need to identify the first logical node in the list which we do with a pointer variable designated as the HEAD POINTER. • A linked list MUST always have a head ptr and will likel ...
... • One of the attributes of a linked list is that its data are NOT stored with physical adjaceny- like array data is. • We need to identify the first logical node in the list which we do with a pointer variable designated as the HEAD POINTER. • A linked list MUST always have a head ptr and will likel ...
Data Structures Using C(cs221) - Prof. Ramkrishna More Arts
... 3. Sorting the content of array in ascending or descending order 4. How to find the time complexity of an algorithm? Ready References Let LIST be a collection of data elements into memory. Searching refers to the operation of finding the location of given ITEM in LIST. The searching said to be succe ...
... 3. Sorting the content of array in ascending or descending order 4. How to find the time complexity of an algorithm? Ready References Let LIST be a collection of data elements into memory. Searching refers to the operation of finding the location of given ITEM in LIST. The searching said to be succe ...
Mounds: Array-Based Concurrent Priority Queues
... each operation to appear to happen at a single instant, but only insists that an operation appear to happen between its invocation and response in the absence of concurrency. Lastly, the most scalable data structures typically exhibit disjoint-access parallelism [7]. That is, their operations do not ...
... each operation to appear to happen at a single instant, but only insists that an operation appear to happen between its invocation and response in the absence of concurrency. Lastly, the most scalable data structures typically exhibit disjoint-access parallelism [7]. That is, their operations do not ...
◦ § 5.19 9.11
... in the worst case. Unordered linked lists have fast join and insert, but slow remove the maximum; ordered linked lists have fast remove the maximum, but slow join and insert; heaps have fast insert and remove the maximum, but slow join; and so forth. (See Table 9.1.) In applications where frequent o ...
... in the worst case. Unordered linked lists have fast join and insert, but slow remove the maximum; ordered linked lists have fast remove the maximum, but slow join and insert; heaps have fast insert and remove the maximum, but slow join; and so forth. (See Table 9.1.) In applications where frequent o ...
Linked Data Structures Linked lists
... (dequeue or deque) ADT, which can be used as a Stack or a Queue ADT. ...
... (dequeue or deque) ADT, which can be used as a Stack or a Queue ADT. ...
Heaps - COW :: Ceng
... • A priority queue is a data structure that supports two basic operations: insert a new item and remove the minimum item. ...
... • A priority queue is a data structure that supports two basic operations: insert a new item and remove the minimum item. ...
Data Structures Lab Manual – BE II/IV – I Sem
... Stacks: A stack is a data structure in which elements are added to or deleted from a single end called as Top of the stack. The elements last inserted is the first to be removed, therefore stack is said to follow the Last In First Out principle, LIFO. In this context, the insert operation is more co ...
... Stacks: A stack is a data structure in which elements are added to or deleted from a single end called as Top of the stack. The elements last inserted is the first to be removed, therefore stack is said to follow the Last In First Out principle, LIFO. In this context, the insert operation is more co ...
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.