1500py470 (1500py470) wrote,

All we want are Power8, Power 9, Power10, and Power11 processors

All we want are Power8, Power 9, Power10, and Power11 processors. With pluses between generations, of course. Так говорят в ИБМ и тратят кучу денег на участие в фабе производящем 450 мм пластины. И между тем энти голубые гиганты уже успели впарить правительству США пару суперкомпьютеров на основе Power 9!


100 с гаком петафлопов

We could guess at some extent architecture and performance on IBM's Power 9 processor for year 2017 in 10 nm SOI, after Power 8 in 22nm SOI above.
If history is any guide, then IBM will create Power 8+ chips using a 14 nanometer process in year 2015 with 50% more processors on the same chip area and Power 9 chips using a 10 nanometer process. This is something that IBM will not, of course, confirm.

Power 9 will mainly differ from Power 8 in HMC 2.0 memory support. Power 9+ in 2019 will implement it in 7 nm SOI, of course if SOI implementatioin is possible at all in 7 nm. We are at 22 nanometers now, and I think that everybody more or less agrees that silicon will run out of steam in a few technology nodes. We think it will be around 7 nanometers. I believe that the path to 14 nanometers is quite clear, and the path to 10 nanometers is also reasonably clear. I think the point of inflection will come around 7 nanometers, where we will have to think of a replacement for silicon, and at IBM we have been looking at this for quite some time.” Perhaps piezo transistors able to run at 4 Ghz clock but at only 0.15V. Squared, that means 50 times lower power consumption. Or 50 times more SIMULTANEOUS switching than with FIN FETs.
99% BAD HARDWARE WEEK: However Power 8 is outstanding and impressive itself alone. That is why Power 9 will power Summit supercomputer at stagerring 150 PFlops in the year 2017.
Intel follows IBM Power 8 lead with 6B transistors Haswell-EP 14-18C on the approximately same die area.

Министерство энергетики заказало парням из IBM "Саммит", которая будет установлена в the Oak Ridge National Laboratory к 2017 в штате Теннесси. Он предназначен сделать китайский Tianhe-2 примерно в пять раз. Другая более медленная система под кодовым названием "Sierra", предназначена для the Lawrence Livermore National Laboratory в Калифорнии.

Вместе за эти системы им заплатят $ 325 млн и плюс 100 млн долларов для разработки "extreme scale supercomputing", или другими словами за проект exaFLOPной машины. Очевидно с таким гетом окрестным жителям горячая вода будет бесплатно :)



Compute Nodes 18,688 ~3,400
Processor (1) 16-core AMD Opteron per node (Multiple) IBM POWER 9s per node
Accelerator (1) NVIDIA Kepler K20x per node (Multiple) NVIDIA Volta GPUs per node
Memory per node 32GB (DDR3) >512GB (HBM+DDR4)
CPU-GPU Interconnect PCI Gen2 NVLINK (5-12x PCIe3)
System Interconnect Gemini Dual Rail EDR-IB (23 GB/s)
Peak Power Consumption 9 MW 10 MW
Tags: ibm, power
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