
Energy
HPC drives greater efficiencies across renewable energy machinery design, power distribution analysis, upstream discovery, reservoir simulations, and more.
Accelerating HPC workloads to help solve some of the world’s toughest challenges
High performance computing (HPC) is helping solve some of the world’s most impactful and complex problems. Accelerating time-to-insight and deploying HPC at scale requires incredible amounts of raw compute capability, energy efficiency, and adaptability that are uniquely found across AMD platforms. AMD solutions power workloads across a variety of industries.
Discover the AMD processors and accelerators that are supercharging scientific HPC workloads, as well as the software platforms that can be leveraged to optimize application performance.
AMD Instinct accelerators are designed to supercharge HPC and AI, delivering leadership performance to handle the most demanding HPC applications and Exascale systems. Based on AMD CDNA™ architecture, these accelerators provide flexible, high-performance compute engines, high bandwidth memory, and scalable fabric and communications technologies.
AMD ROCm is open software for HPC application development targeting select AMD GPUs. It incorporates optimized drivers, compilers, libraries, support for OpenMP®, and the tools needed for large HPC systems—including the ability to code down to the metal, if desired.
AMD EPYC processors are built to handle large scientific and engineering datasets, ideal for advanced modelling and analysis. Certain workloads can also benefit from AMD 3D V-Cache™ technology, which can help accelerate simulations and speed product development.
Developers can optimize AMD EPYC server processor performance for HPC applications using the libraries and tools within AMD Zen Software Studio.
AMD Alveo V80 adaptive accelerators combine hardware flexibility with low-latency acceleration across a wide range of HPC workloads, including genomic sequencing, molecular dynamics, and astrophysics. The card offering FPGA fabric for dense compute, HBM2e for memory-bound algorithms, and 800Gb/s of network bandwidth for massive scale out over Ethernet.
The Vivado Design Suite provides FPGA developers with a familiar design flow for full customization via hardware programming languages or IP building blocks. Developers can easily get started with pre-validated base designs.
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