yaSSL is a C++ based SSL library for embedded and RTOS environments, designed for individuals who prefer to use the C++ language. For a C-based solution, please see CyaSSL. yaSSL supports the industry standards up to TLS 1.2, and also includes an OpenSSL compatibility interface.
The CyaSSL embedded SSL library is a lightweight SSL library written in ANSI C and targeted for embedded and RTOS environments, primarily because of its small size, speed, and feature set. It is commonly used in standard operating environments and cloud services as well because of its royalty-free pricing and excellent cross platform support. CyaSSL supports industry standards up to the current TLS 1.2 and DTLS 1.2 levels, is up to 20 times smaller than OpenSSL, and offers progressive ciphers such as HC-128, RABBIT, and NTRU.
Pyrit takes a step ahead in attacking WPA-PSK and WPA2-PSK, the protocols that protect today's public WiFi-airspace. Pyrit's implementation allows you to create massive databases, pre-computing part of the WPA/WPA2-PSK authentication phase in a space-time-tradeoff. The performance gain for real-world-attacks is in the range of three orders of magnitude, which urges for re-consideration of the protocol's security. It exploits the computational power of multiple cores and other platforms through ATI-Stream, Nvidia CUDA, OpenCL, and VIA Padlock. It is a powerful attack against one of the world's most used security-protocols.
The Open Component Portability Infrastructure (OpenCPI) is a real-time embedded (RTE) middleware solution that simplifies programming of heterogeneous processing applications requiring a mix of field-programmable gate arrays (FPGA), general-purpose processors (GPP), digital signal processors (DSP), and high-speed switch fabrics. The "mix" can be over a lifecycle (technology insertion) as well as within a single implementation (to meet SWAP constraints). CPI improves code portability, interoperability, and performance in FPGA and DSP-based environments by providing well-defined waveform component APIs with a set of infrastructure blocks that act as a hardware abstraction layer (HAL).
Moscrack is a WPA cracker for use on clusters. It supports MOSIX, SSH, and RSH connectivity and works by reading a word list from STDIN or a file, breaking it into chunks, and passing those chunks off to separate processes that run in parallel. The parallel processes are then executed on different nodes in your cluster. All results are checked and recorded on your master node. Logging and error handling are taken care of. It is capable of running reliably for long periods of time, without the risk of losing data or having to restart. Moscrack uses aircrack-ng by default. Pyrit for WPA cracking and Dehasher for Unix password hashes are supported via plugins.
Portable Computing Language (pocl) aims to become an efficient implementation of the OpenCL standard. In addition to producing an easily-portable Open Source implementation, another major goal of the project is improving performance portability of OpenCL programs with compiler optimizations, reducing the need for target-dependent manual optimizations. At the core of pocl is a set of LLVM passes used to statically parallelize multiple work items with the kernel compiler, even in the presence of work group barriers. This enables parallelization of the fine-grained static concurrency in the work groups in multiple ways (SIMD, VLIW, superscalar, etc.). The code base is modularized to allow easy adding of new "device drivers" in the host-device layer. A generic multithreaded "target driver" is included. It allows running OpenCL applications on a host which supports the pthread library with multithreading at the work group granularity.
GPUMarkerTracker is a tracking software library for AR (augmented reality) markers. It utilizes GPGPU for fast and accurate tracking. It is intended for detecting markers from an HD resolution image so that small markers placed far from the camera can be detected. Each marker has a 12-bit payload with 9-bit CRC. The library does not produce false-positive detection errors of markers, practically.
PyParticles is a particle simulation toolbox entirely written in Python. It simulates a particle-by-particle model with the most popular integrations methods, including Euler, Runge Kutta, and Midpoint. It represents the results on an OpenGL or Matplotlib plot, and offers an easy-to-use API.