[Parallel Password Recovery Rar Module V 2.0 Crack
Melvin Amey
7-zip archiver uses very strong encryption, so the 7-zip passwords are very hard to break. Parallel Password Recovery for 7-zip is an unique software designed especially to gain maximal recovery rate with GPU acceleration on AMD and NVIDIA GPUs!
Parallel Password Recovery (RAR module) is a program for recovering passwords for RAR/WinRAR compressed files. It supports multi-core CPUs and GPUs, up to eight total in your machine to take full advantage of your hardware technology. It also supports brute-force and dictionary attacks.
The interface is simple. You can set the number of processing cores and GPUs (graphic cards) to be used by the application, and the priority of process from idle to faster (the latter will allocate 100% processor speed for the task).
The Password Definition File (PDF) is the file that contains the characters to be used in the process, e.g. lowercase and/or uppercase letters, numbers, symbols, etc., and the dictionary. It is a plain-text file that we have to create using something resembling the regular expressions used in programming languages. The PDF is a bit difficult to create, but for a professional tool like this, you can have more control over the password generation. You can find how to create this file with the help found on the official website.
You can also use the Password Definition Master utility to create the password definitions and dictionary. This utility guides you through the process with an easy interface, but notice that this is not as powerful as creating it manually.
The Demo version lets you work with up to four processors/cores and one GPU, and with passwords up to five characters long. Paid versions offer support for up to eight processors or eight GPUs, or any combination, depending on the license you buy. This program also supports the new CUDA technology (code name Fermi) present in Nvidia graphic cards.
This is a great utility in case you lost or forgot the password of the RAR file. It's fully customizable. The Password Definition Language lets you give the program some hints in case you remember part of the passwords. The program supports 2.x-3.x RAR versions, multi-volume, self-extracting, and encrypted files. It works on Windows 2000 / XP / Vista / 7 operating systems.
Features and benefits:
- Local and Distributed versions
There are two key versions: local version which can be used by home user as well and distributed version for LAN and Internet. Local version can take advantage of home PCs up to 4 CPU processors/cores and GPU's. Distributed version is more professional one with possibility of unlimited clients connections.
- Password Definition Language
It is the most important innovative feature of Parallel Password Recovery suite. It supports all well-known standard attacks (such as brute force, dictionary, misspelled password recovery etc) and also allows users to make their own attack types. PDL language is extremely efficient if user remembers any information about a forgotten password (for example, the password consists of two words separated by a special sign or has some digits at the end).
- Parallel computing
Any of versions efficiently vectorize a password recovery process as on physical processors/cores and GPUs so on distributed workstations. Any of PDL rules are easily vectorized.
- The fastest RAR password recovery
The sofware is optimized for all modern processors, including Pentium, Athlon and especially for Core 2 architecture. In the 1.5 version NVIDIA CUDA GPU support added, resulting in fantastic rate of 3000 passwords per second on modern computer with GPU!
- All RAR archives support
Parallel RAR Password Recovery supports 2.x-3.x-4.x RAR version, including multi-volume, self-exracting and encrypted headers archives.
Expanse is a dedicated Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS) cluster designed by Dell and SDSC delivering 5.16 peak petaflops, and will offer Composable Systems and Cloud Bursting.
Expanse's standard compute nodes are each powered by two 64-core AMD EPYC 7742 processors and contain 256 GB of DDR4 memory, while each GPU node contains four NVIDIA V100s (32 GB SMX2) connected via NVLINK and dual 20-core Intel Xeon 6248 CPUs. Expanse also has four 2 TB large memory nodes.
Expanse is organized into 13 SDSC Scalable Compute Units (SSCUs), comprising 728 standard nodes, 54 GPU nodes and 4 large-memory nodes. Every Expanse node has access to a 12 PB Lustre parallel file system (provided by Aeon Computing) and a 7 PB Ceph Object Store system. Expanse uses the Bright Computing HPC Cluster management system and the SLURM workload manager for job scheduling.
As an ACCESS computing resource, Expanse is accessible to ACCESS users who are given time on the system. To obtain an account, users may submit a proposal through the ACCESS Allocation Request System or request a Trial Account.
Expanse supports access via the command line using an ACCESS-wide password or ssh-keys, and web-based access via the Expanse User Portal. While CPU and GPU resources are allocated separately, the login nodes are the same. To log in to Expanse from the command line, use the hostname:
Expanse allows user to use two-factor authentication (2FA) when using a password to log in. 2FA adds a layer of security to your authentication process. Expanse uses Google Authenticator, which is a standards-based implementation.Install Authenticator App
The Expanse User Portal provides a quick and easy way for Expanse users to log in, transfer and edit files, and submit and monitor jobs. The Portal provides a gateway for launching interactive applications such as MATLAB, RStudio, and an integrated web-based environment for file management and job submission. All ACCESS users with a valid Expanse allocation have access via their ACCESS-based credentials.
Environment Modules provide for dynamic modification of your shell environment. Module commands set, change, or delete environment variables, typically in support of a particular application. They also let the user choose between different versions of the same software or different combinations of related codes.
Expanse uses Lmod, a Lua-based module system. Users will now need to setup their own environment by loading available modules into the shell environment, including compilers and libraries and the batch scheduler.
Users will not see all the available modules when they run the module available command without loading a compiler. Users should use the command module spider to see if a particular package exists and can be loaded on the system. For additional details, and to identify dependents modules, use the command:
On the GPU nodes, the gnu compiler used for building packages is the default version 8.3.1 from the OS. Hence, no additional module load command is required to use them. For example, if one needs OpenMPI built with gnu compilers, the following is sufficient:
The error message module: command not found is sometimes encountered when switching from one shell to another or attempting to run the module command from within a shell script or batch job. The reason the module command may not be inherited as expected is that it is defined as a function for your login shell. If you encounter this error, execute the following from the command line (interactive shells) or add to your shell script (including SLURM batch scripts):
Many users will have access to multiple projects (e.g. an allocation for a research project and a separate allocation for classroom or educational use). Users should verify that the correct project is designated for all batch jobs. Awards are granted for a specific purposes and should not be used for other projects. Designate a project by replacing > with a project listed in the SBATCH directive in your job script:
The charge unit for all SDSC machines, including Expanse, is the Service Unit (SU). This corresponds to the equivalent use of one compute core utilizing less than or equal to 2G of data for one hour, or 1 GPU using less than 92G of data for 1 hour. Keep in mind that your charges are based on the resources that are tied up by your job and don't necessarily reflect how the resources are used. Charges on jobs submitted to the 'shared' partitions (shared,gpu-shared,debug,gpu-debug,large-shared) are based on either the number of cores or the fraction of the memory requested, whichever is larger. Jobs submitted to the node-exclusive partitions (compute, gpu) will be charged for the all 128 cores, whether the resources are used or not. The minimum charge for any job is 1 SU.
Expanse CPU nodes have GNU, Intel, and AOCC (AMD) compilers available along with multiple MPI implementations (OpenMPI, MVAPICH2, and IntelMPI). The majority of the applications on Expanse have been built using gcc/10.2.0 which features AMD Rome specific optimization flags (-march=znver2). Users should evaluate their application for best compiler and library selection. GNU, Intel, and AOCC compilers all have flags to support Advanced Vector Extensions 2 (AVX2). Using AVX2, up to eight floating point operations can be executed per cycle per core, potentially doubling the performance relative to non-AVX2 processors running at the same clock speed. Note that AVX2 support is not enabled by default and compiler flags must be set as described below.
Expanse GPU nodes have GNU, Intel, and PGI compilers available along with multiple MPI implementations (OpenMPI, IntelMPI, and MVAPICH2). The gcc/10.2.0, Intel, and PGI compilers have specific flags for the Cascade Lake architecture. Users should evaluate their application for best compiler and library selections.
Intel MKL libraries are available as part of the "intel" modules on Expanse. Once this module is loaded, the environment variable INTEL_MKLHOME points to the location of the mkl libraries. The MKL link advisor can be used to ascertain the link line (change the INTEL_MKLHOME aspect appropriately).
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