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.
AMD is excited to announce the release of the AMD ROCm™ 5.7. With AMD ROCm open software platform built for flexibility and performance, the HPC and AI communities can gain access to open compute languages, compilers, libraries and tools designed to accelerate code development and solve the toughest challenges in the world today. The latest version of the AMD ROCm platform adds new functionality while building on your favorite features from ROCm 5.7 and other previous releases. Here we will be introducing HIPTensor and highlighting some of our favorite and newly enhanced features in the rocRAND RNG, and MIGraphX libraries. If you are interested in a more in-depth look at ROCm 5.7, we encourage you to check out the release notes.
High performance computing (HPC) has become an essential part of our modern world performing complex simulations and calculations that are essential to scientific research, engineering, security and other fields. However, as the demand for HPC has grown, often in supercomputers and large datacenters, so has the concern about its environmental impact. In recent years, there has been a growing focus on data center sustainability given the implications on total cost of ownership and climate concerns. In this blog post, we'll explore some of the key issues around data center energy efficiency and discuss some of the strategies from AMD to help reduce environmental impacts from HPC.
Rice University is hosting the 16th annual Energy High Performance Computing Conference in Houston, Texas from February 28th through March 1st. This highly technical conference brings together the energy industry to engage in topics about high performance computing, computational science, machine learning, and data science.
Since its inception, the Graphics Processing Unit (GPU) has had promising possibilities as an accelerator for tasks other than graphics rendering. While the GPU in a gaming PC and one used as a general-purpose accelerator have considerable base-feature overlap, there are many benefits when optimizing these cards specifically for compute workloads. The ability to execute a plethora of simple calculations in parallel vastly improves the performance of any workload that could benefit from repetitive iteration. This is now coming of age as GPUs guide the future of supercomputing – bringing us into the Exascale Era.
AMD and Atos are joining forces in their ambition to advance environmental sustainability and compute efficiency. Our goal is to leverage the expertise that both Atos and AMD have in creating highly efficient High Performance Computing solutions to further push the limits of sustainable compute.