{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/43033"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/43033","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Emulation of microprocessor memory systems using the RAMP design framework","abstract":"With the computer hardware industry and the academic world focused on multiprocessor systems, the RAMP project is aiming to provide the infrastructure for supporting high-speed emulation of large scale, massively-parallel multiprocessor systems using FPGAs. The RAMP design framework provides the platform for building this infrastructure. This research utilizes this design framework to emulate various microprocessor memory systems through a model built in an FPGA. We model both the latency and the bandwidth of memory systems through a parameterized emulation platform, thereby, demonstrating the validity of the design framework. We also show the efficiency of the framework through an evaluation of the utilized FPGA resources.","abstract_html":"With the computer hardware industry and the academic world focused on multiprocessor systems, the RAMP project is aiming to provide the infrastructure for supporting high-speed emulation of large scale, massively-parallel multiprocessor systems using FPGAs. The RAMP design framework provides the platform for building this infrastructure. This research utilizes this design framework to emulate various microprocessor memory systems through a model built in an FPGA. We model both the latency and the bandwidth of memory systems through a parameterized emulation platform, thereby, demonstrating the validity of the design framework. We also show the efficiency of the framework through an evaluation of the utilized FPGA resources.","abstract_has_math":false,"creators":["Khan, Asif I. (Asif Imtiaz)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Krste Asanović."],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008","date_published":"2008","updated_at":"2026-07-22T22:21:05Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/43033","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Krste Asanović."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Khan, Asif I. 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(Asif Imtiaz)"],"dc:date.accessioned":["2008-11-07T18:54:24Z"],"dc:date.available":["2008-11-07T18:54:24Z"],"dc:date.issued":["2008"],"dc:description":["Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.","Includes bibliographical references (p. 49-50)."],"dc:description.abstract":["With the computer hardware industry and the academic world focused on multiprocessor systems, the RAMP project is aiming to provide the infrastructure for supporting high-speed emulation of large scale, massively-parallel multiprocessor systems using FPGAs. The RAMP design framework provides the platform for building this infrastructure. This research utilizes this design framework to emulate various microprocessor memory systems through a model built in an FPGA. We model both the latency and the bandwidth of memory systems through a parameterized emulation platform, thereby, demonstrating the validity of the design framework. 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