Elcomsoft Distributed Password Recovery

Break complex passwords, recover strong encryption keys and unlock documents in a production environment. 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. Featuring 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.

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. 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.

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.

ElcomSoft pioneered asynchronous hardware acceleration. 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.

Intelligent Load Balancing

This new feature optimizes the use of computational resources available on each workstation. Intelligent load balancing allows password recovery jobs to complete sooner thanks to more even use of available compute units. The load balancer now considers the varying performance of the different CPU models, significantly reducing the bottleneck occurring at times when the CPU cannot feed the GPU fast enough to fully utilize its computational resources.