Intel Xe Architecture Automatic Parameter Tuning With FEM Numerical Integration

This article analyses the usability of Intel ARC 770 based on Intel Xe Architecture for scientific computational tasks based on the Numerical Integration in Finite Element Method (FEM). To achieve a thorough comparison, we employed our proprietary auto-tuning algorithm, allowing us to assess architectural differences between Intel’s solution and the widely adopted Nvidia architecture. As a reference point, we selected the GeForce RTX 3060 Laptop due to its comparable performance and similar price at the time of release. Intel’s latest GPU architecture represents a significant step in the company’s ongoing efforts to establish a foothold in the GPGPU market, challenging Nvidia’s longstanding dominance. While our benchmarking results indicate that the ARC 770 delivers performance on par with reference Nvidia architecture, we identified distinctive behavioural characteristics that set it apart from previously analyzed architectures. These unique attributes could affect computational efficiency and workload distribution, making Intel’s approach an intriguing alternative for scientific computing. Through a series of experiments and simulations, we aim to provide deeper insight into how architectural variations influence the efficiency of FEM numerical integration. Given that the tested Intel GPU shares similarities with the professional Xe-HPC lineup, our research also explores its potential applicability beyond consumer-grade hardware, positioning it as a viable option for high-performance computing tasks.