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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 ...
ROCm, launched in 2016, is AMD's open-source response to CUDA. It is, as of 2022, on par with CUDA with regards to features, [citation needed] and still lacking in consumer support. [citation needed] OpenVIDIA was developed at University of Toronto between 2003–2005, [15] in collaboration with Nvidia.
2024 RTOS Performance Report (FreeRTOS / ThreadX / PX5 / Zephyr) - Beningo Embedded Group 2013 RTOS Comparison (Nucleus / ThreadX / ucOS / Unison) - Embedded Magazine v
NVIDIA CUDA, OptiX AMD HIP SYCL, Intel DPC++ Apple Metal Texture streaming (out-of-core) V-Ray Yes V-Ray GPU (former V-Ray RT) No No No Yes [45] RenderMan Yes No 24 and later [46] No No No ? Arnold Yes No Yes No No No Yes Redshift: No No Yes Redshift for AMD (alpha version) No Yes ? Modo mPath Yes No Yes No No No ? Houdini Karma Yes No 19 and ...
Therefore, many of the points mentioned in the comparison between CUDA and SYCL also apply to the comparison between HIP and SYCL. [49] ROCm HIP has some similarities to SYCL in the sense that it can target various vendors (AMD and Nvidia) and accelerator types (GPU and CPU). [50] However, SYCL can target a broader range of accelerators and ...
Performance. Shader operations - How many operations the pixel shaders (or unified shaders in Direct3D 10 and newer GPUs) can perform. Measured in operations/s. Vertex operations - The amount of geometry operations that can be processed on the vertex shaders in one second (only applies to Direct3D 9.0c and older GPUs). Measured in vertices/s ...
CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.