From high-performance computing, deep-learning, and rendering systems, to cloud computing, training complex neural networks, and AMD’s ROCm open ecosystem these blogs offer more insights and updates into our products and solutions.
Welcomedevelopersto the first in a series ofblogs about AMD ROCm.I’mTerry Deem, Product Manager for ROCm. In these blogs,Iwill let you know aboutupcomingnew releases, features,training,and case studiessurrounding ROCm. The ROCm SDK is a set of tools,libraries,and API for developing HPC applicationsusingGPUsfor computing.You can learn more about ROCm with this introduction video locatedhere.
The AMD Radeon Instinct™ MI60 and Radeon Instinct™ MI50 accelerators are the first GPUs in the world that are based on the advanced 7nm FinFET process technology. The ability to go down to 7nm allows us to put more transistors on to an even smaller package than was possible before – in this case, the MI60 contains 13.2 billion transistors on a package size of 331.46mm2, while the previous generation Radeon Instinct™ MI25 had 12.5 billion transistors on a package size of 494.8mm2 – a 58% improvement in number of transistors per mm2.
This year at SC17, AMD showcased Radeon Instinct™ accelerators, AMD EPYC™ processors and the ROCm open software platform – a complete ecosystem to drive a new era in the datacenter. Our booth was packed with server racks from partners like Inventec, Gigabyte, Supermicro and BOXX. Attendees had the opportunity to check out Project 47, both on display and running demos, offering 1 PetaFLOPS of compute power.
Visit AMD at our SC17 booth #825 and learn how AMD together with our partners is bringing about a new era in the datacenter that is revolutionizing High Performance Computing with our new AMD EPYC™ processors and Radeon Instinct™ accelerators. On top of this year’s show stopping demos, you will have the opportunity to attend one of our interactive and educational booth Tech Talks – check out the schedule below.
[Originally posted on 10/10/17 - by Gregory Stoner]
AMD is excited to see the emergence of the Open Neural Network Exchange (ONNX) format which is creating a common format model to bridge three industry-leading deep learning frameworks (PyTorch, Caffe2, and Cognitive Toolkit) to give our customers simpler paths to explore their networks via rich framework interoperability.
The ONNX format, via its extensible computation graph model, built-in operators, and standard data types will allow our team to focus on more in-depth optimization with our Radeon Instinct Hardware and more productive solution set via our open source MIOpen deep learning solver library and ROCm Compiler technology. It also gives us the path to explore new foundation production beyond traditional frameworks for production to bring lighter weight more optimized solutions for our hardware.
It is great to see the collaboration of Facebook and Microsoft continuing to also follow in the path of open software development practice with ONNX, building on their open source projects PyTorch, Caffe2, and Cognitive Toolkit. Open Software development aligns with our philosophy of bringing out open source software platform, tools, and driver to allow the research community to have more powerful ability to explore broader deep learning design space.
We feel this is an excellent step for the community to open up these platform to a broader set of diverse architectures. We look forward to working with the project and help it grow in the coming months.
Gregory Stoner, is Sr. Director of Radeon Open Compute. Links to third-party sites and references to third-party trademarks are provided for convenience and illustrative purposes only. Unless explicitly stated, AMD is not responsible for the contents of such links, and no third-party endorsement of AMD or any of its products is implied. Use of third-party names or marks is for informational purposes only and no endorsement of or by AMD is intended or implied.