From 0e9898f8fc646e500c8bda17269ad67206f77428 Mon Sep 17 00:00:00 2001 From: Derek Christ Date: Fri, 8 Mar 2024 23:31:44 +0100 Subject: [PATCH] Error correction --- src/chapters/results.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/chapters/results.tex b/src/chapters/results.tex index dad9eca..63ec119 100644 --- a/src/chapters/results.tex +++ b/src/chapters/results.tex @@ -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.