Search Results for "intel cpu simulator"

Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems.

...Flashlight can be broken down into several components as described above. Each component can be incrementally built by specifying the correct build options. Flashlight is most-easily built and installed with vcpkg. Both the CUDA and CPU backends are supported with vcpkg. For either backend, first, install Intel MKL. Flashlight app binaries are also built for the selected features and are installed into the vcpkg install tree's tools directory.

...You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory ./models/. The file examples/detect-image.cpp and examples/detect-camera.cpp show how to use the library. The library was trained by libfacedetection.train. You can copy the files in directory src/ into your project, and compile them as the other files in your project. ...

...Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.

MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++.

A disassembler and a simulator for the MSP430 CPU. Both programs only read TI-TXT files. Licensed under the Simple Public License (SimPL) 2.0. For full license information, please read license.txt. Compiled executables are available for Windows and Mac OS X. Linux users will have to compile their own binaries. Instructions for compilation are included in README.txt.

Goal of this project is to make a working Intel 8051 simulator. It covers also some I/O devices like keypad, LCD screen and GUI in Qt.

ZASM is a 2 pass assembler for Zilog's 8-bit CPU Z80. Supported platforms: Unix-style OS, e.g. MacOS X, Linux, BSD. Special support for ZX Spectrum emulator file formats. Binary or intel hex file output.

Softx86 is a library that provides software emulation of an Intel 80x86 CPU. The library takes care of executing opcodes and handling exceptions while the host application is responsible for providing simulated RAM, I/O devices, external signals.

GNUDE is a complete suite of GNU C, C++, Fortran, and Java Cross Compilers, and the GDB CPU Simulator and Debugger for embedded microprocessor applications development. Targets development for ARM7, ARM9, and XScale applications.