{"id":"https://openalex.org/W7148397459","doi":"https://doi.org/10.1109/hipcw66559.2025.00023","title":"Quantitative Evaluation of Hazard Mitigation Strategies in a 5-Stage RISC-V Pipeline: A Benchmark-Driven Analysis Using Fibonacci and Prime Sieve","display_name":"Quantitative Evaluation of Hazard Mitigation Strategies in a 5-Stage RISC-V Pipeline: A Benchmark-Driven Analysis Using Fibonacci and Prime Sieve","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7148397459","doi":"https://doi.org/10.1109/hipcw66559.2025.00023"},"language":null,"primary_location":{"id":"doi:10.1109/hipcw66559.2025.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipcw66559.2025.00023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 32nd International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","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/A5132748241","display_name":"Kushagra Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kushagra Agrawal","raw_affiliation_strings":["KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132774860","display_name":"Anindita Basak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anindita Basak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103708560","display_name":"Abhishek Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Raj","raw_affiliation_strings":["KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080147788","display_name":"Aakarsh Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aakarsh Singh","raw_affiliation_strings":["KIIT Deemed to be University,School of Electronics Engineering,Bhubaneswar,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT Deemed to be University,School of Electronics Engineering,Bhubaneswar,India","institution_ids":["https://openalex.org/I67357951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74143472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.13210000097751617,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.13210000097751617,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.11259999871253967,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.07989999651908875,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.44780001044273376},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.423799991607666},{"id":"https://openalex.org/keywords/hazard-analysis","display_name":"Hazard analysis","score":0.4088999927043915},{"id":"https://openalex.org/keywords/sieve","display_name":"Sieve (category theory)","score":0.3882000148296356},{"id":"https://openalex.org/keywords/fibonacci-number","display_name":"Fibonacci number","score":0.34709998965263367}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4787999987602234},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C206355099","wikidata":"https://www.wikidata.org/wiki/Q3614972","display_name":"Hazard analysis","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C17732976","wikidata":"https://www.wikidata.org/wiki/Q7511782","display_name":"Sieve (category theory)","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3747999966144562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.350600004196167},{"id":"https://openalex.org/C173734053","wikidata":"https://www.wikidata.org/wiki/Q47577","display_name":"Fibonacci number","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2596000134944916},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hipcw66559.2025.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipcw66559.2025.00023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 32nd International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.840087354183197}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2012481024","https://openalex.org/W3013671484","https://openalex.org/W4392404385","https://openalex.org/W4415419716"],"related_works":[],"abstract_inverted_index":{"This":[0,128],"paper":[1],"presents":[2],"a":[3,13,25,123,131,141,149],"quantitative":[4],"deep":[5],"dive":[6],"into":[7],"the":[8,54,62,76,117,155],"hazard":[9,27,82],"mitigation":[10,83],"strategies":[11],"of":[12,97,109,126],"custom":[14],"five-stage":[15],"(IF\u2013ID\u2013EX\u2013MEM\u2013WB)":[16],"pipelined":[17],"RISC-V":[18],"processor.":[19],"The":[20,100],"architecture":[21],"was":[22,84],"built":[23],"with":[24],"dedicated":[26],"detection":[28],"unit":[29],"and":[30,40,61,138,153,161],"full":[31],"data":[32,59,89],"forwarding":[33,60],"to":[34,57,66],"effectively":[35],"handle":[36],"Read-After-Write":[37],"(RAW)":[38],"dependencies":[39],"control":[41],"flow":[42],"challenges.":[43],"To":[44],"evaluate":[45],"performance,":[46],"we":[47],"conducted":[48],"cycle-accurate":[49],"simulations":[50],"using":[51],"targeted":[52],"benchmarks:":[53],"Fibonacci":[55],"sequence":[56],"stress":[58],"Prime":[63,119],"Number":[64],"Sieve":[65],"assess":[67],"branch":[68,136,144],"handling":[69],"efficiency.The":[70],"results":[71],"from":[72],"rigorous":[73],"testing":[74],"showcase":[75],"architecture\u2019s":[77],"robustness.":[78],"Complete":[79],"success":[80],"in":[81],"confirmed":[85],"by":[86],"recording":[87],"zero":[88],"stalls":[90],"across":[91],"all":[92],"workloads,":[93],"demonstrating":[94],"perfect":[95],"resolution":[96],"RAW":[98],"dependencies.":[99],"processor":[101],"achieved":[102],"an":[103],"efficient":[104],"Cycles":[105],"Per":[106],"Instruction":[107],"(CPI)":[108],"1.62":[110],"on":[111],"computationally":[112],"intensive":[113],"tasks.":[114],"Even":[115],"for":[116,158],"branch-heavy":[118],"Sieve,":[120],"it":[121],"maintained":[122],"predictable":[124,165],"CPI":[125],"2.90.":[127],"performance":[129,166],"reflects":[130],"precise":[132],"one-to-one":[133],"correlation":[134],"between":[135],"instructions":[137],"stalls,":[139],"indicating":[140],"deterministic":[142],"one-cycle":[143],"penalty.":[145],"These":[146],"findings":[147],"validate":[148],"sound":[150],"architectural":[151],"design":[152],"highlight":[154],"processor\u2019s":[156],"suitability":[157],"educational":[159],"platforms":[160],"embedded":[162],"systems":[163],"where":[164],"is":[167],"essential.":[168]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-03T00:00:00"}