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Users of Elcomsoft Phone Password Breaker and Elcomsoft Wireless Security Auditor can now recover Wi-Fi WPA/WPA2 passwords as well as passwords protecting Apple and Blackberry offline backups even faster than with the already supported clusters of high-end video accelerators produced by AMD and NVIDIA.
Benchmark performance
Pico Computing manufactures a range of high-end hardware acceleration platforms, offering a computational equivalent of over 2,000 dual-core processors in a single 4U chassis. By supporting Pico hardware in its password recovery tools, ElcomSoft leaps forward in the performance race, delivering speed of recovery for Apple and BlackBerry backups and WPA/WPA2 Wi-Fi passwords.
“Years ago, ElcomSoft pioneered hardware acceleration in password recovery”, says Andrey Belenko, ElcomSoft leading crypto analytic and the original inventor of the GPU acceleration of password recovery. “Today, together with Pico Computing we’re breaking a record in performance, offering faster recovery than anything else on the market.”
Pico’s FPGA boards set a new benchmark in forensic computational performance. Actual password recovery performance with Pico hardware exceeds that of every other acceleration solution supported by ElcomSoft.
A Pico Computing M-501 equipped EX-500 PCI Backplane delivers 3 to 10 times the speed of a single top-of-the-line AMD or NVIDIA video card, or about 300 times the performance of a dual-core CPU.
ElcomSoft hardware acceleration technologies
Pico FPGA’s are the latest addition to the many hardware acceleration platforms supported by ElcomSoft.
“Pico FPGA-based hardware is used by many law enforcement and forensic organizations worldwide”, says Vladimir Katalov, ElcomSoft CEO. “By supporting this platform, we’re entering true supercomputer performance, delivering the world’s fastest password recovery solution to the most demanding customers.”
ElcomSoft products support a wide range of hardware acceleration platforms including Pico FPGA’s, OpenCL compliant AMD video cards, Tableau TACC, and NVIDIA CUDA compatible hardware including conventional and enterprise-grade solutions such as Tesla and Fermi.


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