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TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.
Source code API OS Task CodeXL: CodeXL Direct3D, OpenGL, OpenCL, Vulkan: Linux Windows: software development tool suite that includes a GPU debugger, a GPU profiler, a CPU profiler, a static OpenCL kernel analyzer and various plugins. [35] static analyzer for AMD CodeXL: amd-codexl-analyzer Direct3D, OpenGL, OpenCL: Linux Windows 64bit
CPU-Z is more comprehensive in virtually all areas compared to the tools provided in the Windows to identify various hardware components, and thus assists in identifying certain components without the need of opening the case; particularly the core revision and RAM clock rate. It also provides information on the system's GPU.
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
OGD1 prototype – OGD1-256DDAV. The project's first product was a PCI graphics card dubbed OGD1, which used a field-programmable gate array (FPGA) chip. Although the card did not have the same level of performance or functionality as graphics cards on the market at the time, it was intended to be useful as a tool for prototyping the project's first application-specific integrated circuit ...
Free/open source (GPL) or proprietary AMD CodeXL by AMD: Linux, Windows For GPU profiling and debugging: OpenCL. A tool suite for GPU profiling, GPU debugger and a static kernel analyzer. Free/open source (MIT) AMD uProf by AMD: Linux, Windows C, C++, .NET, Java, Fortran Code profiler, does sampling based profiling on AMD processors. Proprietary
CodeXL's GPU debugger allows engineers to debug OpenGL and OpenCL API calls and runtime objects, and debug OpenCL kernels: set breakpoints, step through source code in real-time, view all variables across different GPU cores during kernel execution, identify logic and memory errors, reduce memory transaction overhead, visualize OpenCL/OpenGL buffers and images and OpenGL textures as pictures ...
ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platform; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.