Think Data Structures
... Finally, many present this material out of context and without motivation: it’s just one damn data structure after another! I try to alleviate the boredom by organizing the topics around an application – web search – that uses data structures extensively, and is an interesting and important topic in ...
... Finally, many present this material out of context and without motivation: it’s just one damn data structure after another! I try to alleviate the boredom by organizing the topics around an application – web search – that uses data structures extensively, and is an interesting and important topic in ...
Strong Accountability for Network Storage Duke University Abstract
... strongly accountable server, or the impact of those operations on the shared state. The CATS network storage service is based on a generic state storage toolkit. Our intent is that the CATS toolkit can serve as a substrate for a range of accountable services with richer semantics. Various notions of ...
... strongly accountable server, or the impact of those operations on the shared state. The CATS network storage service is based on a generic state storage toolkit. Our intent is that the CATS toolkit can serve as a substrate for a range of accountable services with richer semantics. Various notions of ...
A Practical Introduction to Data Structures and Algorithm
... 2. Related to costs and benefits is the notion of tradeoffs. For example, it is quite common to reduce time requirements at the expense of an increase in space requirements, or vice versa. Programmers face tradeoff issues regularly in all phases of software design and implementation, so the concept ...
... 2. Related to costs and benefits is the notion of tradeoffs. For example, it is quite common to reduce time requirements at the expense of an increase in space requirements, or vice versa. Programmers face tradeoff issues regularly in all phases of software design and implementation, so the concept ...
Parallelization of DNA alignment algorithms using GPUs
... from the fact that array indexes are more conveniently addressed in the memory space of the GPU than memory pointers. Furthermore, the traversal of the tree leads to an unpredictable access pattern that may significantly affect the performance of memory accesses due to the inability to coalesce them ...
... from the fact that array indexes are more conveniently addressed in the memory space of the GPU than memory pointers. Furthermore, the traversal of the tree leads to an unpredictable access pattern that may significantly affect the performance of memory accesses due to the inability to coalesce them ...
Scalable Address Spaces Using RCU Balanced Trees - PDOS-MIT
... operations to proceed without read locks, and delayed freeing of data structures to avoid races where a writer frees data while a reader is still using it. The benefit of avoiding read locks is twofold: not only does it allow read operations to proceed during write operations, but it eliminates the ...
... operations to proceed without read locks, and delayed freeing of data structures to avoid races where a writer frees data while a reader is still using it. The benefit of avoiding read locks is twofold: not only does it allow read operations to proceed during write operations, but it eliminates the ...
Private Large-Scale Databases with Distributed Searchable
... and the notion of SSE was subsequently generalized to Structured Encryption by Chase and Kamara [9]. Recent works including that of Cash et al. [7] and Fisch et al. [13] present highly scalable SSE schemes supporting exact match queries and keyword searches, and also more complex Boolean formulas o ...
... and the notion of SSE was subsequently generalized to Structured Encryption by Chase and Kamara [9]. Recent works including that of Cash et al. [7] and Fisch et al. [13] present highly scalable SSE schemes supporting exact match queries and keyword searches, and also more complex Boolean formulas o ...
An Optimal Cache-Oblivious Priority Queue and its Application to
... One of the main disadvantages of two-level memory models is that they force the algorithm designer to focus on a particular level of the hierarchy. Nevertheless, the I/O model has been widely used because it is convenient to consider only two levels of the hierarchy. Very recently, a new model that ...
... One of the main disadvantages of two-level memory models is that they force the algorithm designer to focus on a particular level of the hierarchy. Nevertheless, the I/O model has been widely used because it is convenient to consider only two levels of the hierarchy. Very recently, a new model that ...
notes
... • Records may also be deleted from a hash table. • But the location must not be left as an ordinary "empty spot" since that could interfere with searches. • The location must be marked in some special way so that a search can tell that the spot used to have something in it. ...
... • Records may also be deleted from a hash table. • But the location must not be left as an ordinary "empty spot" since that could interfere with searches. • The location must be marked in some special way so that a search can tell that the spot used to have something in it. ...
Improving the efficiency of priority-queue structures
... one child, the element stored at that node should not be greater than an element stored at any child of that node. A binary heap can be represented using an array where the nodes are stored in breath-first order. For a more extensive description of the basic concepts related to binary heaps (see for ...
... one child, the element stored at that node should not be greater than an element stored at any child of that node. A binary heap can be represented using an array where the nodes are stored in breath-first order. For a more extensive description of the basic concepts related to binary heaps (see for ...
6 Access Methods and Query Processing Techniques
... dimensions and two spatial dimensions. The valid time of data is the time(s)— past, present, or future—when the data is true in the modeled reality, while the transaction time of data is the time(s) when the data was or is current in the database [36,76]. Data for which both valid and transaction ti ...
... dimensions and two spatial dimensions. The valid time of data is the time(s)— past, present, or future—when the data is true in the modeled reality, while the transaction time of data is the time(s) when the data was or is current in the database [36,76]. Data for which both valid and transaction ti ...
CSE 143 Midterm
... #2: Merge sort achieves an O(N log2 N) runtime by dividing the array in half at each step and then recursively sorting and merging the halves back together. #3: Merge sort runs faster than selection sort because it is recursive, and recursion is faster than for loops. #4: Selection sort runs in O(N) ...
... #2: Merge sort achieves an O(N log2 N) runtime by dividing the array in half at each step and then recursively sorting and merging the halves back together. #3: Merge sort runs faster than selection sort because it is recursive, and recursion is faster than for loops. #4: Selection sort runs in O(N) ...
Dynamic 3-sided planar range queries with expected - delab-auth
... Many external data structures such as grid files, various quad-trees, z-orders and other space filling curves, k-d-B-trees, hB-trees and various R-trees have been proposed. A recent survey can be found in [16]. Often these data structures are used in applications, because they are relatively simple, r ...
... Many external data structures such as grid files, various quad-trees, z-orders and other space filling curves, k-d-B-trees, hB-trees and various R-trees have been proposed. A recent survey can be found in [16]. Often these data structures are used in applications, because they are relatively simple, r ...
Datastructures1:Lists, Sets and Hashing
... • If there is no collision, contains() operates in O(1) • If the set contains elements having the same hashcode, there is a collision. Being dupmax the maximum value of elements having the same hash code, contains() operates in O(dupmax) • If dupmax is near n, there is no increase in speed, since co ...
... • If there is no collision, contains() operates in O(1) • If the set contains elements having the same hashcode, there is a collision. Being dupmax the maximum value of elements having the same hash code, contains() operates in O(dupmax) • If dupmax is near n, there is no increase in speed, since 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.