diff --git a/docs/how-to/rocm-for-hpc/index.rst b/docs/how-to/rocm-for-hpc/index.rst
index 9545b9a04..064680ab4 100644
--- a/docs/how-to/rocm-for-hpc/index.rst
+++ b/docs/how-to/rocm-for-hpc/index.rst
@@ -76,6 +76,14 @@ Ubuntu versions.
single node workstations, multi and many-core nodes, clusters of nodes via
QMP, and classic vector computers.
+ * -
+ - `Grid `_
+ - Grid is a library for lattice QCD calculations that employs a high-level data parallel
+ approach while using a number of techniques to target multiple types of parallelism.
+ The library currently supports MPI, OpenMP, and short vector parallelism. The SIMD
+ instruction sets covered include SSE, AVX, AVX2, FMA4, IMCI, and AVX512. Recent
+ releases expanded this support to include GPU offloading.
+
* -
- `MILC `_
- The MILC Code is a set of research codes developed by MIMD Lattice Computation
@@ -148,24 +156,6 @@ Ubuntu versions.
backends ranging from general-purpose processors, CUDA and HIP enabled
accelerators to SX-Aurora vector processors.
- * -
- - `nekRS `_
- - nekRS is an open-source Navier Stokes solver based on the spectral element
- method targeting classical processors and accelerators like GPUs.
-
- * -
- - `OpenFOAM `_
- - OpenFOAM is a free, open-source computational fluid dynamics (CFD)
- tool developed primarily by OpenCFD Ltd. It has a large user
- base across most areas of engineering and science, from both commercial and
- academic organizations. OpenFOAM has extensive features to solve
- anything from complex fluid flows involving chemical reactions, turbulence, and
- heat transfer, to acoustics, solid mechanics, and electromagnetics.
-
- * -
- - `PeleC `_
- - PeleC is an adaptive mesh refinement(AMR) solver for compressible reacting flows.
-
* -
- `Simcenter Star-CCM+ `_
- Simcenter Star-CCM+ is a comprehensive computational fluid dynamics (CFD) and multiphysics
@@ -199,15 +189,6 @@ Ubuntu versions.
defined in SymPy to create and execute highly optimized Finite Difference stencil
kernels on multiple computer platforms.
- * -
- - `ECHELON `_
- - ECHELON by Stone Ridge Technology is a reservoir simulation tool. With
- fast processing, it retains precise accuracy and preserves legacy simulator results.
- Faster reservoir simulation enables reservoir engineers to produce many realizations,
- address larger models, and use advanced physics. It opens new workflows based on
- ensemble methodologies for history matching and forecasting that yield
- increased accuracy and more predictive results.
-
* - Benchmark
- `rocHPL `_
- HPL, or High-Performance Linpack, is a benchmark which solves a uniformly
@@ -240,6 +221,10 @@ Ubuntu versions.
- Base container for GPU-aware MPI with ROCm for HPC applications. This
project provides a boilerplate for building and running a Docker
container with ROCm supporting GPU-aware MPI implementations using MPICH.
+
+ * -
+ - `AMD ROCm with Conda Environment Container `_
+ - Container recipe that uses the `base-gpu-mpi-rocm-docker` as the base and adds Conda. The container can be used as a base for applications that require conda applications.
* -
- `Kokkos `_
@@ -258,14 +243,6 @@ Ubuntu versions.
range of hardware platforms via use of an in-built domain specific language derived
from the Mako templating engine.
- * -
- - `PETSc `_
- - Portable, Extensible Toolkit for Scientific Computation (PETSc) is a suite of data structures
- and routines for the scalable (parallel) solution of scientific applications modeled by partial
- differential equations. It supports MPI, GPUs through CUDA, HIP, and OpenCL,
- as well as hybrid MPI-GPU parallelism. It also supports the NEC-SX Tsubasa Vector Engine.
- PETSc also includes the Toolkit for Advanced Optimization (TAO) library.
-
* -
- `RAJA `_
- RAJA is a library of C++ software abstractions, primarily developed at Lawrence
@@ -278,4 +255,9 @@ Ubuntu versions.
within an object-oriented software framework for the solution of large-scale,
complex multi-physics engineering and scientific problems.
+ * -
+ - `VLLM `_
+ - The VLLM project helps to build a Dockerfile for performance testing of the LLAMA2 applications.
+ This Dockerfile uses a base install that includes Ubuntu 20.04, ROCm 6.1.2 and Python 3.9. The container can host the LLAMA2 applications (LLMs) and requires some large input files for testing.
+
To learn about ROCm for AI applications, see :doc:`../rocm-for-ai/index`.