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I have benchmarked the new @AMDInstinct MI250 #GPU at @fzj_jsc, and it is disappointing but also impressive. Let me explain.
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cc @HPC_Guru @hpcprogrammer @IanCutress @ProfMatsuoka @sunitachandra29 @aschilling @wkmyrhang @VideoCardz @AMDGPU_
#HPC #Top500 #MI200 #Exascale
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cc @HPC_Guru @hpcprogrammer @IanCutress @ProfMatsuoka @sunitachandra29 @aschilling @wkmyrhang @VideoCardz @AMDGPU_
#HPC #Top500 #MI200 #Exascale
The #MI250 is misleadingly marketed as "one chiplet GPU" with 13312C, 90TFLOPs & 128GB @ 3.2TB/s.
But it is not. The 2 GCDs are 2 separate GPUs with 64GB each, like a K80 dual-GPU but in a socket. One #GPU can't directly access the other's memory.
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amd.com/en/products/se…
But it is not. The 2 GCDs are 2 separate GPUs with 64GB each, like a K80 dual-GPU but in a socket. One #GPU can't directly access the other's memory.
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amd.com/en/products/se…
To use both GCDs, the software needs to be multi-GPU capable. For many algorithms this is very difficult and for some it is entirely infeasible. The desire for large unified memory is huge.
The #MI250 promises exactly that with "128GB", but delivers only half.
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The #MI250 promises exactly that with "128GB", but delivers only half.
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