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Derek Christ
2024-03-08 23:31:44 +01:00
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src/chapters/results.tex
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@@ -287,7 +287,7 @@ In summary, the results for the VADD workload show some deviation from the real-
In addition to comparing Samsung's real hardware implementation, the same benchmarks of the simulations performed are run on two real \ac{gpu} systems, here referred to as Vega and Tesla.
The former system is the consumer \ac{gpu} \textit{Radeon RX Vega 56} from AMD, while the latter is the \textit{Tesla V100} \ac{gpu} from NVIDIA, specifically tailored for \ac{hpc}.
This Tesla \ac{gpu} is only one of the in total 16 \acp{gpu} that are part of the NVIDIA DG-X2 \ac{ai} workstation.
This Tesla \ac{gpu} is only one of the in total 16 \acp{gpu} that are part of the NVIDIA DGX-2 \ac{ai} workstation.
Both \acp{gpu} make use of \aca{hbm} and are therefore well suited to classify the simulation results and get an overview of the workload runtimes on a real system.
Since both systems use generic \aca{hbm} \ac{dram} and not \aca{fimdram}, the measurements should only be used as a rough estimate of the runtimes in a non-\ac{pim} case.