Create 2024-03-09-xfluids-a-sycl-based-unified-cross-architecture-heterogeneous-simulation-solver-for-compressible-reacting-flows

Adds, "XFLUIDS: A SYCL-based unified cross-architecture heterogeneous simulation solver for compressible reacting flows"

Author: codeplaymax

content/research_papers/2024/2024-03-09-xfluids-a-sycl-based-unified-cross-architecture-heterogeneous-simulation-solver-for-compressible-reacting-flows

@@ -0,0 +1,30 @@
+---
+contributor: max
+date: '2024-03-09T08:08:10.490000+00:00'
+title: 'XFLUIDS: A SYCL-based unified cross-architecture heterogeneous simulation solver for compressible reacting flows'
+external_url: https://arxiv.org/abs/2403.05910
+authors:
+  - name: Jinlong Li
+  - name: Shucheng Pan
+tags:
+  - sycl
+  - hpc
+  - cuda
+  - hip
+  - heterogeneous-programming
+---
+
+We present a cross-architecture high-order heterogeneous Navier-Stokes simulation solver, XFluids, for compressible
+reacting multicomponent flows on different platforms. The multi-component reacting flows are ubiquitous in many scientific
+and engineering applications, while their numerical simulations are usually time-consuming to capture the underlying 
+multiscale features. Although heterogeneous accelerated computing is significantly beneficial for large-scale simulations
+of these flows, effective utilization of various heterogeneous accelerators with different architectures and programming
+models in the market remains a challenge. To address this, we develop XFluids by SYCL, to perform acceleration directly
+targeted to different devices, without translating any source code. A variety of optimization techniques have been proposed
+to increase the computational performance of XFluids, including adaptive range assignment, partial eigensystem reconstruction,
+hotspot device function optimizations, etc. This solver has been open-sourced, and tested on multiple GPUs from different mainstream
+vendors, indicating high portability. Through various benchmark cases, the accuracy of XFluids is demonstrated, with approximately
+no efficiency loss compared to existing GPU programming models, such as CUDA and HIP. In addition, the MPI library is used to extend
+the solver to multi-GPU platforms, with the GPU-enabled MPI supported. With this, the weak scaling of XFluids for multi-GPU devices
+is larger than 95% for 1024 GPUs. Finally, we simulate both the inert and reactive multicomponent shock-bubble interaction problems
+with high-resolution meshes, to investigate the reacting effects on the mixing, vortex stretching, and shape deformation of the bubble evolution.