![]() ![]() ![]() Unlike competition, Elcomsoft Distributed Password Recovery is not ‘virtually’ or ‘practically’ linear in scalability.īy doubling the number of PCs working on a password, you cut the time required to recover a password by half. Heterogeneous acceleration allows using multiple video cards of different makes and models, effectively utilizing existing hardware and squeezing the last bit of performance out of every supported component. ElcomSoft pioneered asynchronous hardware acceleration. The acceleration technology offloads parts of computational-heavy processing onto the fast and highly scalable processors featured in the latest graphic accelerators, achieving unprecedented recovery speeds exceeding those available to CPU-only users by significant margin. Hardware acceleration utilizes GPU cores of NVIDIA GeForce boards, AMD GPUs, as well as GPU cores built into Intel CPUs including Intel HD Graphics, UHD Graphics and Intel Iris. Hardware Acceleration Elcomsoft Distributed Password Recovery employs a revolutionary, patented technology to accelerate password recovery when a compatible NVIDIA or AMD graphics card is present in addition to the CPU-only mode. Elcomsoft Distributed Password Recovery is a high-end solution for forensic and government agencies, data recovery and password recovery services and corporate users with multiple networked workstations connected over a LAN or the Internet.įeaturing unique acceleration technologies and providing linear scalability with no overhead, Elcomsoft Distributed Password Recovery offers the fastest password recovery by a huge margin, and is the most technologically advanced password recovery product currently available. High-Performance Distributed Password Recovery Break complex passwords, recover strong encryption keys and unlock documents in a production environment. 50 Panda's Dream - Forget Your Troubles (feat.27 Justin Le Mar - Breakwater (Original Mix).mp3 14 MB.04 Anjey Satori - Morning Breathe.mp3 15 MB.30 Karunesh - Heaven & Earth.mp3 15 MB. ![]()
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