However, GPUs, which were designed for rendering and processing graphical data in the context of 3D gaming, are equipped with a large number of cores capable of performing certain kinds of calculations in multiple parallel threads. Traditionally, computationally intensive tasks have been carried on computer’s central processors (CPUs). GPU acceleration is a technique for accelerating complex calculations by utilizing the large number of graphics processing units (GPUs) found in today’s common graphics cards. To address this challenge, we at ElcomSoft developed GPU acceleration techniques to significantly speed up the password recovery process. Due to the constantly increased encryption and security measures leading to the increase in the complexity and length of passwords, traditional CPU-based methods for password recovery become inefficient and unfeasible due to unrealistic time constraints. The process of password recovery involves attempting to gain access to password-protected data such as encrypted disks, files, or systems, by trying different password combinations until the correct one is found. Password recovery is a critical process in the field of digital forensics. In this article, we explore the potential of Intel Arc GPUs for forensic password recovery and delve into their performance capabilities, comparing them with both Intel’s built-in graphics and mid-range NVIDIA RTX boards. The Intel Arc series showcases impressive performance, rivaling mid-range offerings from competing brands, while maintaining an exceptional price-performance ratio that outperforms NVIDIA’s counterparts. Intel has unveiled its latest lineup of dedicated graphics cards, driven by the powerful Intel Xe architecture.

Intel xe graphics driver download