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ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing .
CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0: Yes Apache Spark Scala Scala, Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center 2013 BSD: Yes Linux, macOS ...
2024 RTOS Performance Report (FreeRTOS / ThreadX / PX5 / Zephyr) - Beningo Embedded Group 2013 RTOS Comparison (Nucleus / ThreadX / ucOS / Unison) - Embedded Magazine v
The operating systems on which the editors can run natively (without emulation or compatibility layers), meaning which operating systems have which editors specifically coded for them (not, for example, Wings 3D for Windows running on Linux with Wine).
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However, there is a less known non-single-source version of CUDA, which is called "CUDA Driver API," similar to OpenCL, and used, for example, by the CUDA Runtime API implementation itself. [ 38 ] SYCL extends the C++ AMP features, relieving the programmer from explicitly transferring data between the host and devices by using buffers and ...
PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for example, AMD's ROCm [26] and Apple's Metal Framework. [27] PyTorch supports various sub-types of Tensors. [28]
An example of a roofline model in its basic form. As the image shows, the curve consists of two platform-specific performance ceilings: the processor's peak performance and a ceiling derived from the memory bandwidth. Both axes are in logarithmic scale