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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 .
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, Windows [3] C++
Many libraries support bfloat16, such as CUDA, [13] Intel oneAPI Math Kernel Library, AMD ROCm, [14] AMD Optimizing CPU Libraries, PyTorch, and TensorFlow. [10] [15] On these platforms, bfloat16 may also be used in mixed-precision arithmetic, where bfloat16 numbers may be operated on and expanded to wider data types.
SEOUL (Reuters) -Samsung Electronics said it would focus on producing high-end chips and was making progress on a major supply deal, as it sought to allay investor concerns over its semiconductor ...
Qualcomm said it expects sales and adjusted profits for its fiscal first quarter - which will cover the holiday shopping season in U.S. and European markets - with a midpoint of $10.90 billion and ...
PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.
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ROCm 6.0 was released on February 14, 2024, and supports the RX 7900 XTX, 7900 XT and 7900 GRE, alongside Radeon Pro W7900 and W7800 graphics cards. Ubuntu 22.04 is natively supported. PyTorch and ONNX Runtime can be used on ROCm 6.0.