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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 .
Computing / ROCm; Vulkan [15] OpenGL [16] Direct3D HSA OpenCL; Wonder: Fixed-pipeline [a] 1000 nm 800 nm — — — — — Ended 1986 Graphics Solutions Mach: 800 nm 600 nm 1991 Mach8 3D Rage: 500 nm 5.0 1996 3D Rage Rage Pro: 350 nm 1.1 6.0 1997 Rage Pro Rage 128: 250 nm 1.2 1998 Rage 128 GL/VR R100: 180 nm 150 nm 1.3 7.0 2000 Radeon R200 ...
ROCm (Radeon Open Compute platform) is AMD's compute stack for machine learning and high-performance computing, based on the LLVM compiler technologies. Under the ROCm project, AMDgpu is AMD's open-source device driver supporting the GCN and following architectures, available for Linux. This latter driver component is used both by the graphics ...
The main AMD GPU software stacks are fully supported on Linux: GPUOpen for graphics, and ROCm for compute. GPUOpen is most often merely a supplement, for software utilities, to the free Mesa software stack that is widely distributed and available by default on most Linux distributions .
Computing / ROCm; Vulkan [17] OpenGL [18] Direct3D HSA OpenCL; Wonder: Fixed-pipeline [a] 1000 nm 800 nm — — — — — Ended 1986 Graphics Solutions Mach: 800 nm 600 nm 1991 Mach8 3D Rage: 500 nm 5.0 1996 3D Rage Rage Pro: 350 nm 1.1 6.0 1997 Rage Pro Rage 128: 250 nm 1.2 1998 Rage 128 GL/VR R100: 180 nm 150 nm 1.3 7.0 2000 Radeon R200 ...
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
AMD Instinct is AMD's brand of data center GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016.Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.
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++