{"id":"https://openalex.org/W1989103486","doi":"https://doi.org/10.1145/2483028.2483068","title":"GPU implementation of a scalable non-linear congruential generator for cryptography applications","display_name":"GPU implementation of a scalable non-linear congruential generator for cryptography applications","publication_year":2013,"publication_date":"2013-05-02","ids":{"openalex":"https://openalex.org/W1989103486","doi":"https://doi.org/10.1145/2483028.2483068","mag":"1989103486"},"language":"en","primary_location":{"id":"doi:10.1145/2483028.2483068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2483028.2483068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Great lakes symposium on VLSI","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011071820","display_name":"Aditya Belsare","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aditya Belsare","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033464437","display_name":"Steve Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Liu","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021685706","display_name":"Sunil P. Khatri","orcid":"https://orcid.org/0000-0001-7134-9929"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunil Khatri","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011071820"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57293392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11693","display_name":"Cryptography and Residue Arithmetic","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-number-generation","display_name":"Random number generation","score":0.8500607013702393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8301602602005005},{"id":"https://openalex.org/keywords/pseudorandom-number-generator","display_name":"Pseudorandom number generator","score":0.6752099990844727},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5760282278060913},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5728273391723633},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5689524412155151},{"id":"https://openalex.org/keywords/key-generation","display_name":"Key generation","score":0.568199634552002},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.4973023235797882},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.49562299251556396},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4854431748390198},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.48069554567337036},{"id":"https://openalex.org/keywords/linear-congruential-generator","display_name":"Linear congruential generator","score":0.4668351411819458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3535306453704834},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3422732949256897},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33730778098106384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12855321168899536},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.07600551843643188}],"concepts":[{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.8500607013702393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301602602005005},{"id":"https://openalex.org/C140642157","wikidata":"https://www.wikidata.org/wiki/Q1623338","display_name":"Pseudorandom number generator","level":2,"score":0.6752099990844727},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5760282278060913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5728273391723633},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5689524412155151},{"id":"https://openalex.org/C163173736","wikidata":"https://www.wikidata.org/wiki/Q3308558","display_name":"Key generation","level":3,"score":0.568199634552002},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.4973023235797882},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.49562299251556396},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4854431748390198},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.48069554567337036},{"id":"https://openalex.org/C141890704","wikidata":"https://www.wikidata.org/wiki/Q1190228","display_name":"Linear congruential generator","level":3,"score":0.4668351411819458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3535306453704834},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3422732949256897},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33730778098106384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12855321168899536},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07600551843643188},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2483028.2483068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2483028.2483068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Great lakes symposium on VLSI","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1486069461","https://openalex.org/W1996360405","https://openalex.org/W2004513455","https://openalex.org/W2010523529","https://openalex.org/W2039971883","https://openalex.org/W2088708578","https://openalex.org/W2122032901","https://openalex.org/W2156186849","https://openalex.org/W2163740453","https://openalex.org/W2482809296","https://openalex.org/W4232836212"],"related_works":["https://openalex.org/W2011090873","https://openalex.org/W2101130532","https://openalex.org/W4205806207","https://openalex.org/W2054944103","https://openalex.org/W4237723644","https://openalex.org/W2075917111","https://openalex.org/W1998710200","https://openalex.org/W2772380824","https://openalex.org/W44435986","https://openalex.org/W1988459222"],"abstract_inverted_index":{"Fast":[0],"key":[1,56,76,162],"generation":[2,121,163],"algorithms":[3],"which":[4,197],"can":[5,51,60,155,171],"generate":[6],"random":[7,34,49],"sequences":[8],"of":[9,40,80,99,127,193,195,201],"varying":[10],"atomic":[11],"lengths":[12],"and":[13,71,170,180,190],"throughput":[14,38],"are":[15,102],"important":[16],"for":[17,30,64,93,114,158,164],"secure":[18],"data":[19],"communication.":[20],"In":[21,123],"this":[22],"paper,":[23],"we":[24,89],"present":[25],"a":[26,45],"non-linear":[27],"congruential":[28],"method":[29,59],"generating":[31],"high":[32,159],"quality":[33,200],"numbers":[35],"at":[36],"flexible":[37],"rates":[39,165],"upto":[41],"66":[42,168],"Gbps,":[43],"on":[44,66,141],"GPU":[46,95,125],"platform.":[47],"Each":[48],"number":[50],"have":[52,90],"up":[53,166],"to":[54,136,167],"4096":[55],"bits.":[57],"The":[58,97,109,184],"be":[61,156,172],"easily":[62,173],"extended":[63],"implementation":[65,126],"hardware":[67],"platforms":[68],"like":[69],"FPGAs":[70],"ASICs":[72],"as":[73],"well.":[74],"Our":[75,153],"generator":[77],"is":[78,117,134],"comprised":[79],"N":[81,105],"Linear":[82],"Congruential":[83,130],"Generators":[84],"(LCGs)":[85],"running":[86],"in":[87,119,178],"parallel;":[88],"chosen":[91],"N=4096":[92],"the":[94,100,128,138,142,146,151,187,199],"implementation.":[96],"outputs":[98],"LCGs":[101],"combined":[103],"using":[104],"encoded":[106,110],"majority":[107,111],"functions.":[108],"function":[112],"used":[113,157],"any":[115],"bit":[116],"changed":[118],"every":[120],"iteration.":[122],"our":[124,202],"Non-Linear":[129],"Generator":[131],"(GPU-NLCG),":[132],"it":[133],"possible":[135],"alter":[137],"LCG":[139],"functions":[140],"fly":[143],"by":[144],"changing":[145],"primes":[147],"periodically":[148],"without":[149],"interrupting":[150],"generation.":[152],"GPU-NLCG":[154,185],"speed":[160],"cryptographic":[161],"Gbps":[169],"integrated":[174],"into":[175],"multi-threaded":[176],"applications":[177],"cryptography":[179],"Monte":[181],"Carlo":[182],"methods.":[183],"passes":[186],"NIST,":[188],"Diehard":[189],"Dieharder":[191],"battery":[192],"tests":[194],"randomness,":[196],"ensure":[198],"ciphers.":[203]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}