T. Kowalski, S. Grabowski, K. Fredriksson, Marcin Raniszewski
{"title":"Suffix arrays with a twist","authors":"T. Kowalski, S. Grabowski, K. Fredriksson, Marcin Raniszewski","doi":"10.31577/CAI_2019_3_555","DOIUrl":"https://doi.org/10.31577/CAI_2019_3_555","url":null,"abstract":"The suffix array is a classic full-text index, combining effectiveness with simplicity. We discuss three approaches aiming to improve its efficiency even more: changes to the navigation, data layout and adding extra data. In short, we show that $(i)$ how we search for the right interval boundary impacts significantly the overall search speed, $(ii)$ a B-tree data layout easily wins over the standard one, $(iii)$ the well-known idea of a lookup table for the prefixes of the suffixes can be refined with using compression, $(iv)$ caching prefixes of the suffixes in a helper array can pose a(nother) practical space-time tradeoff.","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131609012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Practical Index for Approximate Dictionary Matching with Few Mismatches","authors":"Aleksander Cislak, S. Grabowski","doi":"10.4149/cai_2017_5_1088","DOIUrl":"https://doi.org/10.4149/cai_2017_5_1088","url":null,"abstract":"Approximate dictionary matching is a classic string matching problem (checking if a query string occurs in a collection of strings) with applications in, e.g., spellchecking, online catalogs, geolocation, and web searchers. We present a surprisingly simple solution called a split index, which is based on the Dirichlet principle, for matching a keyword with few mismatches, and experimentally show that it offers competitive space-time tradeoffs. Our implementation in the C++ language is focused mostly on data compaction, which is beneficial for the search speed (e.g., by being cache friendly). We compare our solution with other algorithms and we show that it performs better for the Hamming distance. Query times in the order of 1 microsecond were reported for one mismatch for the dictionary size of a few megabytes on a medium-end PC. We also demonstrate that a basic compression technique consisting in $q$-gram substitution can significantly reduce the index size (up to 50% of the input text size for the DNA), while still keeping the query time relatively low.","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131331090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling, Analysing and Control of Interactions Among Agents in MAS","authors":"F. Capkovic","doi":"10.1007/11758532_25","DOIUrl":"https://doi.org/10.1007/11758532_25","url":null,"abstract":"","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134372676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Ontology for Network Services","authors":"Pedro Alípio, J. Neves, P. Carvalho","doi":"10.1007/11758532_33","DOIUrl":"https://doi.org/10.1007/11758532_33","url":null,"abstract":"","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129544480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Segmentation in Echocardiographic Sequences Using Shape-based Snake Model","authors":"C. Sheng, Y. Xin","doi":"10.1007/11553595_46","DOIUrl":"https://doi.org/10.1007/11553595_46","url":null,"abstract":"","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast Converging Evolutionary Strategy for Multi-Constraint QoS Routing in Computer Networks Using New Decoding Mechanism","authors":"H. Shahhoseini, Samaneh Torkzadeh","doi":"10.4149/cai_2017_2_405","DOIUrl":"https://doi.org/10.4149/cai_2017_2_405","url":null,"abstract":"In recent years, real-time multimedia applications’ demands such as Voice-on-IP (VoIP) and video conference are extremely increased which require QoS routing. This type of routing has been considered as an NP-Complete problem since it requires satisfying multiple constraints. Many solutions have been proposed to solve it, but most of them are complex and time consuming. In this paper, a novel multi-constraints QoS routing algorithm is proposed based on Evolutionary Strategies (ES). The algorithm preserves simplicity and offers a feasible solution in a few numbers of generations. This is due to a novel gene decoding mechanism that is used in the algorithm; and consequently more simple evolutionary operators can be applied. The simulation results show that our method outperforms previous algorithms in terms of speed and performance, so that it is 2.6 and 11.3 times faster, and its success ratio is also better.","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120948472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams","authors":"P. Czarnul","doi":"10.31577/cai_2020_3_510","DOIUrl":"https://doi.org/10.31577/cai_2020_3_510","url":null,"abstract":"The paper investigates parallel data processing in a hybrid CPU + GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to hostdevice communication time ratios, numbers of CUDA streams, for various numbers of threads managing computations on GPUs. Tests also reveal benefits of using CUDA MPS for overlapping communication and computations when using multiple processes. Furthermore, using standard memory allocation on a GPU and Unified Memory versions are compared, the latter including programmer added prefetching. Performance of a hybrid CPU+GPU version as well as scaling across multiple GPUs are demonstrated showing good speed-ups of the approach. Finally, the performance per power consumption of selected configurations are presented for various numbers of streams and various relative performances of GPUs and CPUs.","PeriodicalId":345268,"journal":{"name":"Comput. Informatics","volume":"2 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120989302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}