![]() 238000011144 upstream manufacturing Methods 0.000 description 5.229910052710 silicon Inorganic materials 0.000 description 5.230000005540 biological transmission Effects 0.000 description 8.OC()=O UIIMBOGNXHQVGW-UHFFFAOYSA-M 0.000 description 14 UIIMBOGNXHQVGW-UHFFFAOYSA-M buffer Substances.230000015654 memory Effects 0.000 claims abstract description 711.238000003860 storage Methods 0.000 title claims abstract description 81.Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Priority claimed from US202063031509P external-priority Application filed by 南韓商三星電子股份有限公司 filed Critical 南韓商三星電子股份有限公司 Publication of TW202145767A publication Critical patent/TW202145767A/en Links ![]() Inventor 克里希納T 馬拉迪 安德魯 張 伊森 納賈法巴迪 Original Assignee 南韓商三星電子股份有限公司 Priority date (The priority date is an assumption and is not a legal conclusion. Google Patents TW202145767A - Device, system and method for providing storage resource Learn how CXL supports dynamic multiplexing between a rich set of protocols that includes I/O (CLX.io, based on PCIe®), caching (CXL.cache), and memory (CXL.mem) semantics.TW202145767A - Device, system and method for providing storage resource The resulting simplified coherence model reduces the device cost, complexity and overhead traditionally associated with coherency across an I/O link. In CXL, the CPU host is primarily responsible for coherency management abstracting peer device caches and CPU caches. This allows both the CPU and device to share resources for higher performance and reduced software stack complexity. Attendees will learn how CXL technology maintains a unified, coherent memory space between the CPU (host processor) and CXL devices allowing the device to expose its memory as coherent in the platform and allowing the device to directly cache coherent memory. It addresses resource sharing and cache coherency to improve performance, reduce software stack complexity, and lower overall systems costs, allowing users to focus on target workloads. The CXL specification delivers breakthrough performance, while leveraging PCI Express® technology to support rapid adoption. Datacenter architectures are evolving to support the workloads of emerging applications in Artificial Intelligence and Machine Learning that require a high-speed, low latency, cache-coherent interconnect. Compute Express Link™ (CXL™) is an industry-supported cache-coherent interconnect for processors, memory expansion, and accelerators.
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