Dell PowerEdge R940xa GPU Database Acceleration on - Page 4

Executive summary Executive summary This whitepaper looks at the performance and efficiency of GPU database acceleration when using Dell EMC PowerEdge R940xa server to run Brytlyt GPU DBMS. The objective is to show how the unique CPU to GPU ratio in R940xa is well suited for this new and emerging category of database workloads that leverage the powerful capabilities of GPUs.  This whitepaper will discuss some of the background as to why GPUs are becoming the norm in database world.  How the acceleration of database using GPU can help in some of the emerging workloads like machine learning and deep learning.  We look at how R940xa architecture with its unique CPU: GPU ratio of 1:1 and support up to 6TB system memory is ideally suited to support GPU DBMS.  We show how Brytlyt takes advantage of R940xa architecture when running TPC-h benchmark and NY taxi dataset benchmark.  The paper also shows how you can use R940xa not only to accelerate Brytlyt stack but also run workloads like deep learning by using PyTorch memory management. 4 GPU Database Acceleration on PowerEdge R940xa