document
... the find operation may have to search through all items every time (same performance as a linked list) ...
... the find operation may have to search through all items every time (same performance as a linked list) ...
pptx - People @ EECS at UC Berkeley
... We want the obvious conflicting properties: - high performance at low energy - easy to program, port, and autotune ...
... We want the obvious conflicting properties: - high performance at low energy - easy to program, port, and autotune ...
Towards Constant Bandwidth Overhead E.
... logarithmic number of hashes must be read each time the data is accessed. One proposed use of a hash tree is in a single-chip secure processor [5, 10, 19], where it is used to check the integrity of external memory. A secure processor can be used to help license software programs, where it seeks to ...
... logarithmic number of hashes must be read each time the data is accessed. One proposed use of a hash tree is in a single-chip secure processor [5, 10, 19], where it is used to check the integrity of external memory. A secure processor can be used to help license software programs, where it seeks to ...
Array implementation of binary trees
... Each object contains one element that is used for search, the search key ....... Ai = (ki, In) We assume that ...
... Each object contains one element that is used for search, the search key ....... Ai = (ki, In) We assume that ...
Chapter 7: Relational Database Design
... key value Ki, or to a bucket of pointers, each record having search-key value Ki. Only need bucket structure if search-key does not form a candidate key. If Li, Lj are leaf nodes and i < j, Li’s search-key values are less than Lj’s ...
... key value Ki, or to a bucket of pointers, each record having search-key value Ki. Only need bucket structure if search-key does not form a candidate key. If Li, Lj are leaf nodes and i < j, Li’s search-key values are less than Lj’s ...
pdf
... shortly, we additionally need to be able to find and remove any particular element from the queue; this can be easily achieved using a standard hash table). Additionally, instead of inserting memory cells directly into the tree, we insert them into the queue. When searching for a memory cell, we fir ...
... shortly, we additionally need to be able to find and remove any particular element from the queue; this can be easily achieved using a standard hash table). Additionally, instead of inserting memory cells directly into the tree, we insert them into the queue. When searching for a memory cell, we fir ...
NZSQL commands
... NUMERICS must have either precision and scale, or ANY for generic. return_type is one fully specified argument and type. Follows same rules as argument_types. DETERMINISTIC indicates that the UDF is a pure function, one which always returns the same value given the same argument values and which has ...
... NUMERICS must have either precision and scale, or ANY for generic. return_type is one fully specified argument and type. Follows same rules as argument_types. DETERMINISTIC indicates that the UDF is a pure function, one which always returns the same value given the same argument values and which has ...
Queues 2
... A heap with d kids Shallow depth, more bushy Good for insertion Bad for deletion, have to look at d kids ...
... A heap with d kids Shallow depth, more bushy Good for insertion Bad for deletion, have to look at d kids ...
On A Generic Parallel Collection Framework - Infoscience
... subsets. How partitioning is exactly done for an arbitrary collection is described later in the paper. Classes in collection frameworks often provide users with a method that performs some operation on every element of the collection in the case of Scala collection framework this operation is know ...
... subsets. How partitioning is exactly done for an arbitrary collection is described later in the paper. Classes in collection frameworks often provide users with a method that performs some operation on every element of the collection in the case of Scala collection framework this operation is know ...
PPT
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
The following paper was originally published in the
... Micali [18] suggested the Certi cate Revocation system (CRS) in order to improve the CRL communication costs. The underlying idea is to sign a message for every certi cate stating whether it was revoked or not, and to use an o -line/on-line signature scheme [11] to reduce the cost of periodically up ...
... Micali [18] suggested the Certi cate Revocation system (CRS) in order to improve the CRL communication costs. The underlying idea is to sign a message for every certi cate stating whether it was revoked or not, and to use an o -line/on-line signature scheme [11] to reduce the cost of periodically up ...
Chapter 11: Indexing and Hashing
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
dataStruct
... 5. We do not use wall clock time – as this depends on the hardware. 6. We use an abstract measure O(n), O(n log n) ...
... 5. We do not use wall clock time – as this depends on the hardware. 6. We use an abstract measure O(n), O(n log n) ...
Chapter 11: Indexing and Hashing
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
... Sparse indices – if index stores an entry for each block of the file, no change needs to be made to the index unless a new block is created. If ...
Container data structures Topics for this lecture
... speed of its container operations. The speed of a container operation depends on how it is implemented, on its underlying algorithm. ...
... speed of its container operations. The speed of a container operation depends on how it is implemented, on its underlying algorithm. ...
Database System Concepts, 5th Ed
... Since records are larger than pointers, the maximum number of records that can be stored in a leaf node is less than the number of pointers in a nonleaf node. ...
... Since records are larger than pointers, the maximum number of records that can be stored in a leaf node is less than the number of pointers in a nonleaf node. ...
Scalable Mining for Classification Rules in
... 2. In many real applications, customers insist that all data, not just a sample of the data, must be processed. Since the data are usually obtained from valuable resources at considerable expense, they should be used as a whole throughout the analysis. Therefore, designing a scalable classi er may b ...
... 2. In many real applications, customers insist that all data, not just a sample of the data, must be processed. Since the data are usually obtained from valuable resources at considerable expense, they should be used as a whole throughout the analysis. Therefore, designing a scalable classi er may b ...
FUNDAMENTALS OF DATABASE SYSTEMS Course No. 1.963
... – Since several records can be stored in the same block, the number of collisions decreases. – When a bucket is filled one can use a chaining method where a number of buckets are used as overflow buckets. (Se E/N Figure 5.10) ...
... – Since several records can be stored in the same block, the number of collisions decreases. – When a bucket is filled one can use a chaining method where a number of buckets are used as overflow buckets. (Se E/N Figure 5.10) ...
PDF
... acyclic, we enforce the following canonical representation: the minimal element in S (according to some fixed ordering of U) is stored in both tables, and this yields only one possible way of storing the remaining elements. In case C is unicyclic, we enforce the following canonical representation: t ...
... acyclic, we enforce the following canonical representation: the minimal element in S (according to some fixed ordering of U) is stored in both tables, and this yields only one possible way of storing the remaining elements. In case C is unicyclic, we enforce the following canonical representation: t ...
Index Tuning
... – On-line: textbook insertion and deletion algorithms that maintain balanced B+-tree as records are inserted – Off-line: inserted/deleted records are inserted in a specific data structure and indexes are modified offline (when the DBA requests it, regularly or when some condition is met). • Log-Stru ...
... – On-line: textbook insertion and deletion algorithms that maintain balanced B+-tree as records are inserted – Off-line: inserted/deleted records are inserted in a specific data structure and indexes are modified offline (when the DBA requests it, regularly or when some condition is met). • Log-Stru ...
read it here
... • Level 2 (L2) cache, 8-way associative, 256 kB in size. It is an order of magnitude slower than the L1 cache. Again, each CPU core has a separate L2 cache. • Level 3 (L3) cache, 12-way associative, 3 MB in size. The latency is higher than that of the L2 cache. Shared between CPU cores. • Main memor ...
... • Level 2 (L2) cache, 8-way associative, 256 kB in size. It is an order of magnitude slower than the L1 cache. Again, each CPU core has a separate L2 cache. • Level 3 (L3) cache, 12-way associative, 3 MB in size. The latency is higher than that of the L2 cache. Shared between CPU cores. • Main memor ...
Locality Preserving Hashing Kang Zhao, Hongtao Lu and Jincheng Mei
... where bk is a bias, f (·) is an arbitrary function and sgn(·) is the sign function. Then the corresponding {0, 1} code can be given by 12 (1 + yik ). Broadly, hashing methods can be roughly divided into two main categories (Gong and Lazebnik 2011; Liu et al. 2011): data-independent methods and data- ...
... where bk is a bias, f (·) is an arbitrary function and sgn(·) is the sign function. Then the corresponding {0, 1} code can be given by 12 (1 + yik ). Broadly, hashing methods can be roughly divided into two main categories (Gong and Lazebnik 2011; Liu et al. 2011): data-independent methods and data- ...
Rainbow table
A rainbow table is a precomputed table for reversing cryptographic hash functions, usually for cracking password hashes. Tables are usually used in recovering a plaintext password up to a certain length consisting of a limited set of characters. It is a practical example of a space/time trade-off, using less computer processing time and more storage than a brute-force attack which calculates a hash on every attempt, but more processing time and less storage than a simple lookup table with one entry per hash. Use of a key derivation function that employs a salt makes this attack infeasible.Rainbow tables are an application of an earlier, simpler algorithm by Martin Hellman.