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入学希望の方 修了生の方 企業・研究者の方 教職員・学生 //--> Sitemap Access Japanese About GSISMessage from the DeanIntroduction to GSISGSIS guide bookOrganizationSNSJournal: Interdisciplinary Information SciencesContactsFacultyLaboratories by DepartmentComputer and Mathematical SciencesSystem Information SciencesHuman-Social Information SciencesApplied Information SciencesLaboratories by Specialized Subject GroupColaborative LaboratoriesPromotion OfficeAdmissionEntrance ExaminationCurriculum and Qualifications for ApplicationResearch StudentDormitoryFor StudentsSyllabus / Time table / Student HandbookNoticeInternational StudentsScholarshipDormitoryAdmission fee / Tuition fee waiverHandbook for International StudentsJapanese Language ProgramCounseling servicesEmergency InformationInternal Access Only Home Faculty Laboratories by Department Computer Architecture Computer and Mathematical Sciences Computer Architecture A12 Prof. Hiroaki Kobayashi       Assoc. Prof. Masayuki Sato       Assoc. Prof. Akihiro Yatabe Lab's Web page KeywordsHigh-Performance/Low-Power Computer Architectures, Parallel and Distributed Computing, Supercomputing Systems and their Applications, Hybrid Computing with Machine Learning and Quantum Annealing Next-Generation High-Performance/Low-Power/Dependable Computer Architectures by Co-designing Hardware and Software Our laboratory is active in the research on high-performance, low-power, and dependable computing systems by co-designing hardware and software environments. The details are as follows.   ＜High-Performance/Low-Power/Dependable Computer Architecture Design＞ While computers have significantly increased their performances, they are also required to reliably process a large amount of data with the lower power. Our laboratory focuses on memory systems by using the 3D die-stacking and non-volatile devices, adaptive hardware technologies to maximize the performance per watt by providing resources to applications, and dependable technologies of computers.   ＜Hybrid Processing Architectures of Machine Learning/Quantum Annealing and Conventional Computing, and their Applications with Social Deployments＞ Due to the power limitations of computers and the demands for big data processing, new computing methods such as machine learning (ML) and quantum annealing (QA) have attracted attention. Our laboratory is conducting researches on the integration of these emerging ML/QA technologies into the conventional computing as a single system image, and development and deployment of their killer applications: a real-time tsunami inundation simulation with routing assistance for evacuation, and a system to predict turbine faults. Hybrid conventional-QA-AI/ML computing environment A real-time tsunami inundation simulation with routing assistance for evacuation FacultyLaboratories by DepartmentComputer and Mathematical SciencesSystem Information SciencesHuman-Social Information SciencesApplied Information SciencesLaboratories by Specialized Subject GroupColaborative LaboratoriesPromotion Office GSIS: Graduate School of Information Sciences, Tohoku University 6-3-09 Aoba, Aramaki-aza Aoba-ku, Sendai, 980-8579, Japan Phone.+81-22-795-5813 Fax. +81-22-795-5815 Contacts is-www-admin,is.tohoku.ac.jp --> About GSIS Message from the DeanIntroduction to GSISGSIS guide bookOrganizationSNSJournal: Interdisciplinary Information SciencesContacts Faculty Laboratories by DepartmentComputer and Mathematical SciencesSystem Information SciencesHuman-Social Information SciencesApplied Information SciencesLaboratories by Specialized Subject GroupColaborative LaboratoriesPromotion Office Admission Entrance ExaminationCurriculum and Qualifications for ApplicationResearch StudentDormitory For Students Syllabus / Time table / Student HandbookNoticeInternational StudentsScholarshipDormitoryAdmission fee / Tuition fee waiverHandbook for International StudentsJapanese Language ProgramCounseling servicesEmergency InformationInternal Access Only About this Website Link © 2016 Graduate School of Information Sciences, Tohoku University About GSIS Message from the DeanIntroduction to GSISGSIS guide bookOrganizationSNSJournal: Interdisciplinary Information SciencesContacts Faculty Laboratories by DepartmentComputer and Mathematical SciencesSystem Information SciencesHuman-Social Information SciencesApplied Information SciencesLaboratories by Specialized Subject GroupColaborative LaboratoriesPromotion Office Admission Entrance ExaminationCurriculum and Qualifications for ApplicationResearch StudentDormitory For Students Syllabus / Time table / Student HandbookNoticeInternational StudentsScholarshipDormitoryAdmission fee / Tuition fee waiverHandbook for International StudentsJapanese Language ProgramCounseling servicesEmergency InformationInternal Access Only Sitemap Access Japanese no cache