Search Results for "cuda"
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Showing 5 open source projects for "cuda"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Nvitop
An interactive NVIDIA-GPU process viewer and beyond
...As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a CUDA device selection tool nvisel for deep learning researchers. It also provides handy APIs that allow developers to write their own monitoring tools. -
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playqt
GUI version of ffplay for Windows
...This allows the program to be used with other command line tools such as youtube-dl. The source code is open and available here. It may be compiled using the contrib library provided along with Qt6, MSVC 2019 and NVIDIA cuda development library. -
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FiberCrunch
Automatiza el proceso de Crackeo de Handshake de Redes Fibertel WiFi
FiberCrunch v3 es un software desarrollado para Windows que Automatiza el proceso de Crackeo de Handshake de Redes Fibertel WiFiXXX de Argentina. El mismo actualmente cuenta con la ayuda de Crunch para generar automáticamente los diccionarios para el Crackeo, sin requerimientos de espacio adicionales en disco. También posee precargados, todos los patrones actuales, un total de 24 patrones recompilados. Actualmente es un prototipo en desarrollo y seguramente pueda que este lleno de... -
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iiitbaodv-gpu-aodv-IIIT Bangalore
AODV protocol for GPU
The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C S abhilash.gowder@iiitb.org Abhishek Varshney abhishek.varshney@iiitb.org Dilip S dilip.s@iiitb.org Navik Yogesh Laljibhai navik.yogeshlaljibhai@iiitb.org Pradyot H Adavi pradyot.h.adavi@iiitb.org -
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aodv protocol on gpu IIIT Bangalore
Aodv protocol on gpu
The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C S abhilash.gowder@iiitb.org Abhishek Varshney abhishek.varshney@iiitb.org Dilip S dilip.s@iiitb.org Navik Yogesh Laljibhai navik.yogeshlaljibhai@iiitb.org Pradyot H Adavi pradyot.h.adavi@iiitb.org
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