4th Gen AMD EPYC™ processors are exceptionally well-suited for Electronic Design Automation (EDA) workloads, and this assertion isn't just a statement—it's a critical part of AMD's strategy. We rely on current AMD EPYC processors to design future AMD EPYC processors, thereby underscoring the importance of maximizing AMD EPYC performance for EDA workloads to ensure our ongoing success as a company.

4th Gen AMD EPYC™ processors with AMD 3D V-Cache™ technology stack additional SRAM directly on top of the compute die, thereby tripling the total L3 cache size to as much as 1,152 MB processor compared to a maximum of 384 MB for standard AMD EPYC 9004 processors. This supersized cache can relieve memory bandwidth pressure by storing a large working dataset very close to the cores using that data, which can significantly speed up many technical computing[1] workloads. These new processors continue the high-performance legacy established by 3rd Gen AMD EPYC processors with AMD 3D V-Cache technology and add notable 32-core and top-of-stack processor performance uplifts. AMD 3D V-Cache technology is fully transparent to the host operating system, with neither special requirements nor code changes required to fully realize additional performance.

This blog describes why AMD Ryzen™ 9 processors in servers are ideal for critical financial workloads, discusses the Strategic Technology Analysis Center (STAC®) and the STAC-N1 benchmark, and then describes the systems tested and the results of those tests.

The tech industry is in a perpetual struggle to achieve equilibrium between compute, storage and networking for maximum performance. For now, storage—or, more precisely, the location of large data sets—is the problem, and chiplets, pioneered by AMD, is one solution.

At our Datacenter and AI Technology Premier event,  AMD expanded the 4th Gen AMD EPYC ™ processor family by introducing two additional processor models in the 4th Gen AMD EPYC family. First, AMD debuted the AMD EPYC 97x4 processors, codenamed “Bergamo”, the industry’s first x86 processors purpose-built for cloud-native computing. You can read more about it in my previous blog. This blog discusses AMD EPYC 9xx4 processors with AMD 3D V-Cache™ technology, codenamed “Genox-X”.

In this blog, I will briefly explain what seismic exploration is, how it works, and how it can be used for many different purposes. I will then share some generational and competitive performance information showcasing 4th Gen AMD EPYC™ processors compared to both 3rd Gen AMD EPYC processors and Intel® Xeon® processors. I’ll conclude by summarizing why these results are important for seismic exploration.

AMD EPYC™ 7003 Series processors with AMD 3D V-Cache™ technology, formerly code-named “Milan-X,” were specifically engineered to excel at technical computing workloads. Today, AMD adds four of these processors to the EPYC 7003 lineup. Read this blog to learn more about the newest addition to the EPYC™ processor lineup. 

We are excited to be at SC’19 with our friends and family of ecosystem partners. I’d like to share my thoughts on how AMD has unleashed the EPYC revolution for HPC. AMD is all about innovation and our mission is to deliver products that help to solve the world’s toughest challenges – in life sciences, earth science, energy, manufacturing, fundamental research, oil and gas, machine intelligence and many more. We celebrated our 50th anniversary milestone this year with what analysts called the ‘7nm storm’. The 7nm EPYC, Radeon and Ryzen processors bring new possibilities to the new era of computing with ground-breaking performance and outstanding power efficiency driving lower TCO.

While numerous HPC workloads benefit from the core performance and industry leading memory bandwidth of the AMD EPYC™ 7000 series process family there’s a set of workloads that only scale when they get access to one thing, speed.

High-performance computing (HPC) has grown to a point where it is a critical component of new technology advancements in academia and a wide array of industries in both the public and private sectors. Scientific research, public health, climate modeling, as well as oil and gas exploration are just a few examples where HPC is the driving force behind new innovations and knowledge discovery.