Posts tagged Installation
Graph analytics on AMD GPUs using Gunrock
- 29 July 2024
Graphs and graph analytics are related concepts that can help us understand complex data and relationships. In this context, a graph is a mathematical model that represents entities (called nodes or vertices) and their connections (called edges or links). And graph analytics is a form of data analysis that uses graph structures and algorithms to reveal insights from the data.
Application portability with HIP
- 26 April 2024
Many scientific applications run on AMD-equipped computing platforms and supercomputers, including Frontier, the first Exascale system in the world. These applications, coming from a myriad of science domains, were ported to run on AMD GPUs using the Heterogeneous-compute Interface for Portability (HIP) abstraction layer. HIP enables these High-Performance Computing (HPC) facilities to transition their CUDA codes to run and take advantage of the latest AMD GPUs. The effort involved in porting these scientific applications varies from a few hours to a few weeks and largely depends on the complexity of the original source code. Figure 1 shows several examples of applications that have been ported and the corresponding porting effort.
Creating a PyTorch/TensorFlow code environment on AMD GPUs
- 11 September 2023
Note: This blog was previously part of the AMD lab notes blog series.
GPU-aware MPI with ROCm
- 08 June 2023
Note: This blog was previously part of the AMD lab notes blog series.
AMD ROCm™ installation
- 26 January 2023
Note: This blog was previously part of the AMD lab notes blog series.