{"title":"使用芯片组的模块化高性能计算","authors":"Bapi Vinnakota, John M. Shalf","doi":"10.1109/mcse.2023.3341749","DOIUrl":null,"url":null,"abstract":"The performance growth rate of high-performance computing (HPC) systems has fallen from 1000× to just 10× every eleven years. The HPC world, like large cloud service provider data centers, has turned to heterogeneous acceleration to deliver continued performance growth through specialization. Chiplets offer a new, compelling approach to scaling performance through adding workload-specific processors and massive bandwidth to memory into computing systems. If design and manufacturing challenges are resolved, chiplets can offer a cost-effective path for combining die from multiple function-optimized process nodes, and even from multiple vendors, into a single application-specific integrated circuit (ASIC). This article explores opportunities for building and improving the performance of bespoke HPC architectures using open-modular “chiplet” building blocks. The hypothesis developed is to use chiplets to extend the functional and physical modularity of modern HPC systems to within the semiconductor package. This planning can reduce the complexity and cost of assembling chiplets into an ASIC product and make it easier to build multiple product variants.","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"117 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modular High-Performance Computing Using Chiplets\",\"authors\":\"Bapi Vinnakota, John M. Shalf\",\"doi\":\"10.1109/mcse.2023.3341749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The performance growth rate of high-performance computing (HPC) systems has fallen from 1000× to just 10× every eleven years. The HPC world, like large cloud service provider data centers, has turned to heterogeneous acceleration to deliver continued performance growth through specialization. Chiplets offer a new, compelling approach to scaling performance through adding workload-specific processors and massive bandwidth to memory into computing systems. If design and manufacturing challenges are resolved, chiplets can offer a cost-effective path for combining die from multiple function-optimized process nodes, and even from multiple vendors, into a single application-specific integrated circuit (ASIC). This article explores opportunities for building and improving the performance of bespoke HPC architectures using open-modular “chiplet” building blocks. The hypothesis developed is to use chiplets to extend the functional and physical modularity of modern HPC systems to within the semiconductor package. This planning can reduce the complexity and cost of assembling chiplets into an ASIC product and make it easier to build multiple product variants.\",\"PeriodicalId\":10553,\"journal\":{\"name\":\"Computing in Science & Engineering\",\"volume\":\"117 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computing in Science & Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/mcse.2023.3341749\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing in Science & Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mcse.2023.3341749","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
The performance growth rate of high-performance computing (HPC) systems has fallen from 1000× to just 10× every eleven years. The HPC world, like large cloud service provider data centers, has turned to heterogeneous acceleration to deliver continued performance growth through specialization. Chiplets offer a new, compelling approach to scaling performance through adding workload-specific processors and massive bandwidth to memory into computing systems. If design and manufacturing challenges are resolved, chiplets can offer a cost-effective path for combining die from multiple function-optimized process nodes, and even from multiple vendors, into a single application-specific integrated circuit (ASIC). This article explores opportunities for building and improving the performance of bespoke HPC architectures using open-modular “chiplet” building blocks. The hypothesis developed is to use chiplets to extend the functional and physical modularity of modern HPC systems to within the semiconductor package. This planning can reduce the complexity and cost of assembling chiplets into an ASIC product and make it easier to build multiple product variants.
期刊介绍:
Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format.
The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.