7 projects tagged "CUDA"
Updated 02 Jun 2009
DCGN
| Pop | 13.89 |
|---|---|
| Vit | 38.07 |
DCGN is a point-to-point and collective communication library written for clusters of GPUs. DCGN allows one to issue sends, receives, and collective communications via CUDA kernels. The library handles the message passing, allowing the user to focus solely on the algorithm.
Updated 15 Feb 2011
Pyrit
| Pop | 125.38 |
|---|---|
| Vit | 2.60 |
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.
Updated 15 Jul 2010
Jacket by AccelerEyes
| Pop | 27.24 |
|---|---|
| Vit | 1.49 |
The Jacket platform consists of a runtime and language processing system that automatically optimizes existing applications or new algorithms for GPU computing. Jacket currently supports the MATLAB language as a frontend to the platform. Jacket's language processing system automatically translates MATLAB code to high performance primitives required for best utilization of Nvidia, CUDA capable GPUs. Working in concert with the translation system, Jacket's runtime system optimizes memory transfers, compiles code on-the-fly for realtime tuned performance, and launches GPU kernels efficiently for maximal performance. All GPU-specific programming details are handled by Jacket, freeing the user to focus on science, engineering, and analytics.
Updated 05 Oct 2010
Charm++
| Pop | 24.52 |
|---|---|
| Vit | 1.00 |
Charm++ is a portable adaptive runtime system for parallel applications. Application developers create an object-based decomposition of the problem of interest, and the runtime system manages issues of communication, mapping, load balancing, fault tolerance, and more. Sequential code implementing the methods of these parallel objects is written in C++. Calls to libraries in C++, C, and Fortran are common and straightforward. Charm++ is portable across individual workstations, clusters, accelerators (Cell SPEs and GPUs), and supercomputers such as those sold by IBM (Blue Gene, POWER) and Cray (XT3/4/5/6). Applications based on Charm++ are used on at least 5 of the 20 most powerful computers in the world.
Updated 23 Feb 2012
Theano
| Pop | 50.28 |
|---|---|
| Vit | 2.84 |
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features tight integration with numpy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations, dynamic C code generation, and extensive unit-testing and self-verification. Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
Updated 20 Jan 2011
libfairydust
| Pop | 19.62 |
|---|---|
| Vit | 29.19 |
Libfairydust is a small wrapper library intended for use with GPU clusters that 'hijacks' CUDA and OpenCL calls. It can be used to 're-route' calls to a certain GPU, so a process requesting GPU#0 might end up running on GPU#4 without knowing (or caring) about it. This works completely transparently and does not need any sort of 'cooperation' from the application, changes to code, or relinking.
Updated 18 May 2011
Moscrack
| Pop | 86.27 |
|---|---|
| Vit | 3.19 |
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.
