Computer Science - Data Structures and AlgorithmsA method for identifying graphs using MD5 hashing is presented. This allows fast graph equality comparisons and can also be used to facilitate graph isomorphism testing. The graphs can be labeled or unlabeled. The method identifies vertices by hashing ...
1. Access nodes may also be referred to as data processing units (DPUs), or devices including DPUs, in this disclosure. In the example of FIG. 1, various data structures and processing techniques are described with respect to access nodes 17 within a data center 10. Other devices within ...
Most network load balancers available today are implemented in software that runs on general purpose computer systems, such as Intel x86-based systems. This is largely because the algorithms and data structures used by these network load balancers require an amount of memory that exceeds the memory...
2.2. Formulation Our basic idea is trying to exploit the intrinsic relations in the matrix data: both the neighbor structures in each view and the semantic correlations between views. Corre- spondingly, two types of losses will be employed to guide the hash function learning in our formulation...
table Offset table Φ =1381 pixels in 1282 image =382 (=1444) =182 Sparse 3D data Hash table Offset table Φ =41,127 voxels in 1283 volume =353 (=42,875) =193 Figure 1: Representation of sparse spatial data using nearly minimal perfect hashes, illustrated on coarse 2D and 3D ...
1. Introduction Nearest Neighbors (NN) search is a fundamental prob- lem and has found applications in many computer vision tasks [23, 10, 29]. A number of efficient algorithms, based on pre-built index structures (e.g. KD-tree [4] and R- tree [2]), have been proposed for nearest...
Hash maps: Also known by the namehash tables, hash maps indicatedata structuresused to store keys/value pairs vide anassociative arrayabstractdata type. • Bloom filters:Probabilistic structures of data that are used to ascertain a specific data element queried in a large set inside a constant...
given exceeds 10 to 20, searching in k-d trees and re- queries in the form of p oints in this space, we are re- lated structures involves the insp ection of a large quired to nd the nearest (most similar) ob ject to the fraction of the database, thereby doing no b etter query...
The method exploits the fast computation of the hashing of runs of consecutive 1 in the spaced seeds, that basically correspond to k-mer of the length of the run. Conclusions: We run several experiments, on NGS data from simulated and synthetic metagenomic experiments, to assess the time ...
Next, we show how to drive lock-free operations based on the data structures. 280 W. Li et al. 3.2 Basic Operations In this section, we consider three basic operations, i.e., Get, Put, and Delete. We focus on the use cases without the kicking and rehash processes and leave more ...