{"authors":[{"id":"3c761d30-6e51-40a7-9726-422ee0619cad","name":"Abdulrahman Shaheen","orcid":"0009-0009-6500-0742","role":[],"nodesUserId":52587},{"id":"2091f96b-e46b-4ac9-aa65-df3f520134a2","name":"lamia shaheen","orcid":"0009-0000-0159-9711","role":[],"nodesUserId":52526}],"components":[{"id":"root","name":"root","payload":{"cid":"bafybeif2iamppgwmbiztciz3jqyv4uyhdjwlj7ubj7vdayvpj5xq2ydkki","path":"root"},"type":{".pdf":"pdf"}},{"id":"5786267e-c59f-4cad-9ca7-4df3001b4361","name":"SpecializedComputing.pdf","type":"pdf","payload":{"cid":"bafkreiejykpt6zycrgfjlxbhr7xhsm4mt56sdlihpxe5bzs5xsjhg53bva","path":"root/SpecializedComputing.pdf","title":"Manuscript"},"starred":true,"subtype":"manuscript"}],"defaultLicense":"CC BY","researchFields":["Cloud Computing and Big Data Technologies","Management and Reproducibility of Scientific Workflows","Distributed Storage Systems and Network Coding"],"title":"Evolution of Specialized Computing Infrastructure: From Traditional Data Centers to Specialized Supercomputing Architectures","version":"desci-nodes-0.2.0","description":"Specialized computing infrastructure is undergoing a radical transformation driven by emerging technologies such as advanced artificial intelligence, quantum computing, and exascale computing. This comprehensive study examines recent developments in specialized computing infrastructure through mixed-methods analysis, focusing on architectural innovations, decentralized management protocols, and their applications in scientific and commercial domains. We analyze 15 specialized systems and present six detailed case studies demonstrating performance improvements of 10-100x over traditional infrastructure. Our research highlights the paradigm shift from general-purpose to workload-specific architectures, addressing critical challenges in interoperability, energy efficiency, and decentralized management. The findings contribute to the emerging field of decentralized scientific computing infrastructure, offering actionable recommendations for researchers, industry stakeholders, and policymakers in the Web3 science ecosystem.","references":[{"id":"10.48550/arxiv.2304.01433","type":"doi","url":"10.48550/arxiv.2304.01433","authors":[{"name":"N P Jouppi"}],"title":"TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings","journal":"arXiv preprint","volume":"","pages":"","issue":"","year":"2021"},{"id":"10.1177/1094342010391989","type":"doi","url":"10.1177/1094342010391989","authors":[{"name":"J Dongarra"}],"title":"The International Exascale Software Project Roadmap","journal":"International Journal of High Performance Computing Applications","volume":"36","pages":"","issue":"3","year":"2022"},{"id":"10.1098/rsta.2019.0061","type":"doi","url":"10.1098/rsta.2019.0061","authors":[{"name":"J Shalf"}],"title":"The Future of Computing Beyond Moore's Law","journal":"Philosophical Transactions of the Royal Society A","volume":"378","pages":"","issue":"","year":"2020"},{"id":"10.1109/mic.2025.3566642","type":"doi","url":"10.1109/mic.2025.3566642","authors":[{"name":"S H Fuller"}],"title":"Computing Research for the Climate Crisis","journal":"Computing Community Consortium Technical Report","volume":"","pages":"","issue":"","year":"2021"},{"id":"10.1145/2699414","type":"doi","url":"10.1145/2699414","authors":[{"name":"D A Reed"},{"name":"J Dongarra"}],"title":"Exascale Computing and Big Data","journal":"Communications of the ACM","volume":"65","pages":"","issue":"","year":"2022"},{"id":"10.5281/zenodo.8020371","type":"doi","url":"10.5281/zenodo.8020371","authors":[{"name":"Research"}],"title":"Quantum-Centric Supercomputing Architecture","journal":"IBM Research Report","volume":"","pages":"","issue":"","year":"2022"}],"keywords":["supercomputer","computer science","interoperability","workload","exascale computing","paradigm shift","data science","field","engineering management","engineering","world wide web","mathematics","pure mathematics","philosophy","operating system","epistemology"]}