Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Video: AMD HPC Update

Jay Owen from AMD gave this talk at the HPC User Forum in Tucson. “With the introduction of new EPYC processor based servers with Radeon Instinct GPU accelerators, combined with our ROCm open software platform, AMD is ushering in a new era of heterogeneous compute for HPC and Deep Learning. Truly accelerating the pace of deep learning and addressing the broad needs of the datacenter requires a combination of high performance compute and GPU acceleration optimized for handling massive amounts of data with lots of floating point computation that can be spread across many cores.”

New AMD Radeon Instinct Rolls Out to Accelerate Machine Intelligence

“New Radeon Instinct accelerators will offer organizations powerful GPU-based solutions for deep learning inference and training. Along with the new hardware offerings, AMD announced MIOpen, a free, open-source library for GPU accelerators intended to enable high-performance machine intelligence implementations, and new, optimized deep learning frameworks on AMD’s ROCm software to build the foundation of the next evolution of machine intelligence workloads.”

HIP and CAFFE Porting and Profiling with AMD’s ROCm

In this video from SC16, Ben Sander from AMD presents: HIP and CAFFE Porting and Profiling with AMD’s ROCm. “We are excited to present ROCm, the first open-source HPC/Hyperscale-class platform for GPU computing that’s also programming-language independent. We are bringing the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application. ROCm is built for scale; it supports multi-GPU computing in and out of server-node communication through RDMA.”

Slidecast: For AMD, It’s Time to ROCm!

“AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzmann Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.”