Sapphire Rapids: The Next-Generation Intel Xeon Scalable Processor

Sapphire Rapids (SPR) is the next-generation Xeon® Processor with increased core count, greater than 100MB shared L3 cache, 8 DDR5 channels, 32GT/s PCIe/CXL lanes, 16GT/s UPI lanes and integrated accelerators supporting cryptography, compression and data streaming. The processor is made up of 4 die...

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Vydáno v:Digest of technical papers - IEEE International Solid-State Circuits Conference Ročník 65; s. 44 - 46
Hlavní autoři: Nassif, Nevine, Munch, Ashley O., Molnar, Carleton L., Pasdast, Gerald, Lyer, Sitaraman V., Yang, Zibing, Mendoza, Oscar, Huddart, Mark, Venkataraman, Srikrishnan, Kandula, Sireesha, Marom, Rafi, Kern, Alexandra M., Bowhill, Bill, Mulvihill, David R., Nimmagadda, Srikanth, Kalidindi, Varma, Krause, Jonathan, Haq, Mohammad M., Sharma, Roopali, Duda, Kevin
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 20.02.2022
Témata:
Conferences
Delays
Integrated circuit interconnections
Metals
Power system management
Routing
Transistors
ISSN:2376-8606
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Shrnutí:Sapphire Rapids (SPR) is the next-generation Xeon® Processor with increased core count, greater than 100MB shared L3 cache, 8 DDR5 channels, 32GT/s PCIe/CXL lanes, 16GT/s UPI lanes and integrated accelerators supporting cryptography, compression and data streaming. The processor is made up of 4 die (Fig. 2.2.7) manufactured on Intel 7 process technology which features dual-poly-pitch SuperFin (SF) transistors with performance enhancements beyond 10SF,>25% additional MIM density over SuperMIM and a metal stack with a 400nm pitch routing layer optimized for global interconnects. This layer achieves ~30% delay reduction at the same signal density and is key for achieving the required latency. The core provides better performance via a programmable power management controller. New technologies include Intel Advanced Matrix Extensions (AMX), a matrix multiplication capability for acceleration of AI workloads and new virtualization technologies to address new and emerging workloads.
ISSN:2376-8606
DOI:10.1109/ISSCC42614.2022.9731107