Search Results for "working memory"
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Showing 5 open source projects for "working memory"
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CUDA API Wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
CUDA API Wrappers is a C++ library providing high-level, modern wrappers for NVIDIA’s CUDA runtime and driver APIs, enhancing usability and efficiency. It is intended for those who would otherwise use these APIs directly, to make working with them more intuitive and consistent, making use of modern C++ language capabilities, programming idioms, and best practices. In a nutshell - making CUDA API work more fun. -
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Cinder
Community-developed library for professional-quality creative coding
Cinder is a free and open source library for professional-quality creative coding in C++. Cinder is available under the BSD License for macOS and Windows. The latest version is 0.9.2. To keep up-to-date with Cinder’s development, consider working from the github repository directly. Cinder is a C++ library for programming with aesthetic intent - the sort of development often called creative coding. This includes domains like graphics, audio, video, and computational geometry. Cinder is... -
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Memory Guard Win
Gerencia memória e CPU de apps no Windows com regras fáceis
MemoryGuardWin é um utilitário para Windows que ajuda a controlar o consumo de memória de programas sem fechar aplicações nem interromper o trabalho. Você cria regras por executável, define limite em MB e intervalo de verificação, e a ferramenta aplica ajustes no working set quando detecta excesso de uso. A interface mostra processos em tempo real, com nome amigável, executável, PID, CPU, disco, memória e status da regra, facilitando identificar quem está pesando no sistema. Também inclui... -
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easy_profiler
Lightweight profiler library for c++
...You can profile any function in your code. Furthermore, this library provides measuring time of any block of code. For example, information for 12 millions of blocks is using less than 300Mb of memory. Working profiler slows your application execution for only 1-2%. The average overhead per block is about 15ns/block (tested on Intel Core i7-5930K 3.5GHz, Win7). Disabled profiler will not affect your application execution in any way. You can leave it in your Release build and enable it at run-time at any moment during the application launch to see what is happening at the moment. ... -
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A debuging library for C++. It does dynamic memory management with malloc and looks for potentiazl problems and leaks. It can also free up all leaked memory at the end of the program. I am currently working on hooking the new and delete keywords to wor
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