use built image to skip cuda download

Dockerfile

@@ -1,4 +1,4 @@
-FROM ubuntu:22.04
+FROM tgrogers/accel-sim_regress:Ubuntu-22.04-cuda-11.7
 
 SHELL ["/bin/bash", "-c"]
 
@@ -9,19 +9,6 @@ ENV CUDA_INSTALL_PATH /usr/local/cuda-11.7
 ENV PTXAS_CUDA_INSTALL_PATH /usr/local/cuda-11.7
 ENV GPUAPPS_ROOT /accel-sim/gpu-app-collection
 
-# Setup GPGPU-Sim dependencies and CUDA 11.7
-RUN apt-get update \
-&& apt-get install -y wget build-essential xutils-dev bison zlib1g-dev flex \
-      libglu1-mesa-dev git g++ libssl-dev libxml2-dev libboost-all-dev git g++ \
-      libxml2-dev vim python-setuptools python3-pip cmake \
-&& apt-get clean \
-&& pip3 install pyyaml plotly psutil \
-&& wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run \
-&& sh cuda_11.7.0_515.43.04_linux.run --silent --toolkit \
-&& rm cuda_11.7.0_515.43.04_linux.run \
-&& rm -rf /usr/local/cuda-11.7/nsight-compute-2022.2.0 \
-&& rm -rf /usr/local/cuda-11.7/nsight-systems-2022.1.3
-
 # Build LLVM 18.1.8
 RUN git clone https://github.com/llvm/llvm-project.git \
 && mkdir llvm-install \