AMD details Exascale Heterogenous Processor

With 32 Zen cores, HMB2 and more

AMD has revealed some early information regarding its upcoming Exascale Heterogeneous Processor, or the next generation APU, that will feature up to 32 Zen CPU cores, Greenland graphics part and up to 32GB of HBM2 memory and be available sometime between 2016 and 2017.

The AMD Exascale Heterogeneous Processor (EHP), is pretty much a next-generation APU and according to the released diagram, we are looking at a processor with up to 32 CPU cores based on Zen architecture.

It will also pack next generation Greenland graphics cores but we still lack any details regarding it.

In addition to 32 Zen cores and huge graphics part, the EHP will also pack 32GB of HBM2 memory, all packed on a 2.5D interposer.

Spotted by Bitsandchips.it, the AMD EHP will be a big chip, and as far as it is possible to tell from the diagram, we are looking at 4-Hi stacks of HBM2 memory, or 8Gb per die and 4GB per stack, which adds up to the aforementioned 32GB of HBM2.

The GPU itself is the biggest unknown, unless you count the information that it is based on the next generation Greenland architecture. There is no word regarding the amount of Stream Processors but judging from the size of the GPU in the diagram, it could pack quite a performance punch.

Taking into account the previously available information regarding the Zen CPU core architecture, the CPU part will pack a total of 16MB L2 cache and 64MB L3 cache. Each Zen core will have access to 512KB of L2 cache with four Zen cores sharing 8MB of L3 cache in the EHP. Each Zen core can run two threads, which means it has a total of 64 threads.

Aimed at High Performance Computing (HPC) GPGPU market, it is highly unlikely that we will see the Exascale Heterogeneous Processor in the consumer market but it is also possible that we might see a cut-down version with 8 or 16 cores, which might be quite an interesting product for consumers as well.







Source: via Wccftech.com.


News by Luca Rocchi and Marc Büchel - German Translation by Paul Görnhardt - Italian Translation by Francesco Daghini


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