[PDF] Top 20 Models Performance Issues in Parallel Computing for Information Retrieval
Has 10000 "Models Performance Issues in Parallel Computing for Information Retrieval" found on our website. Below are the top 20 most common "Models Performance Issues in Parallel Computing for Information Retrieval".
Models Performance Issues in Parallel Computing for Information Retrieval
... of performance models when considering the deployment of parallel computing to information retrieval applications is a much neglected ...into parallel computing for ... See full document
17
Parallel computing in information retrieval - An updated review
... We can see from the discussion above that load balancing on insertion is an important issue. Load balancing on search is also affected by the partitioning method. Document identifier partitioning allows for a much ... See full document
58
Programming Models for Parallel Heterogeneous Computing
... and information extraction is needed. The performance needs for such analysis applications are far beyond the ones of day-to-day online analytical processing (OLAP) query ...heterogeneous computing ... See full document
9
Combinatoric models of information retrieval ranking methods and performance measures for weakly-ordered document collections
... chaotic. Computing resources had become cheap enough so that many more groups could perform retrieval experiments, but the groups did not agree on how to eval- uate those ... See full document
604
A Review Of Cuda, Mapreduce, And Pthreads Parallel Computing Models
... three parallel programming models, CUDA, MapReduce, and ...high performance users with a concise understanding of parallel programming concepts and thus faster implementation of big data ... See full document
10
Optimization of Information Retrieval by Advance Indexing Models and FIRS
... Information retrieval systems are designed to solve the problem of extraction of exact information from the huge collection of web ...of Information Retrieval is relevant ... See full document
5
Positional Language Models for Clinical Information Retrieval
... We first investigated the impact of using PECO- structured queries on the retrieval performance. As far as we know, no quantitative evaluation of the increase or decrease of performance in comparison ... See full document
8
Neural Generative Models and Representation Learning for Information Retrieval
... meanings, information from different fields often have different effects on how people determine the relevance of a document with respect to a ...of models has been pro- posed to tackle the problem of ... See full document
153
High Performance Parallel Computing with Clouds and Cloud Technologies
... the performance (average running time with varying input sizes) of these applications and then we calculated the overhead introduced by different parallel runtimes using the following formula, in which P ... See full document
20
High Performance Parallel Computing with Clouds and Cloud Technologies
... • Cloud technologies works for most pleasingly parallel applications • Runtimes such as MapReduce++ extends MapReduce to iterative MapReduce domain • MPI applications experience moderate[r] ... See full document
21
High Performance Parallel Computing with Clouds and Cloud Technologies
... worst performance for all the test occurred when 1-VM per node is ...the performance of Kmeans clustering under bare-metal, 1-VM, and 8-VMs per node ...for parallel processing, it is better to ... See full document
39
A comparative study of probabilistic and language models for information retrieval
... language models are best ...for retrieval on web ...the retrieval tasks used ...relative performance of core retrieval ...relative performance of retrieval ... See full document
11
Domain Decomposition Based High Performance Parallel Computing
... The solution of non-linear system of equations involves two iterative loops. One is the outer Newton's iterative loop (outer loop) and the other is the inner additive Schwarz domain decomposition loop (inner loop) to ... See full document
6
High Performance Parallel Computing in Residue Number System
... High-performance computing has become an important field in modern ...and computing resources are becoming stricter should be taken into ...high-performance computing algorithms using a ... See full document
6
High Performance Parallel Computing with Clouds and Cloud Technologies
... above parallel applications we tested, the timing figures measured correspond to the time for computation and communication inside the ...worst performance for all the test occurred when 1-VM per node is ... See full document
20
Care episode retrieval: distributional semantic models for information retrieval in the clinical domain
... tailored information sources, or cor- pus-driven statistical ...and information from other high-ranked ...for information exclusion (Con- Text ... See full document
19
A Study of Security Issues and Cloud Models in Cloud Computing
... cloud computing in the traditional mainstream sense, whereby resources are dynamically provisioned on a fine-grained, self-service basis over the Internet, via web applications/web services, from an off-site ... See full document
6
CLOUD COMPUTING PERFORMANCE EVALUATION: ISSUES AND CHALLENGES
... Simulation and evaluation based on geographical region; in this section, we study geographical location of users and data centers and want to determine how effective they will[r] ... See full document
13
A Survey of Information Retrieval Models for Malayalam Language Processing
... Information Retrieval is the process of finding relevant information or a document which satisfies the user’s information ...monolingual information retrieval finds a document ... See full document
5
Neural Models for Information Retrieval without Labeled Data
... I had the honor of collaborating with over 50 researchers so far, as either mentor, mentee, or collaborator. I have not only learned a lot from them, but also made many great friends. In particular, I would like to thank ... See full document
182
Related subjects