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AMD steps up to HPC Workloads at ISC 2018

In this video from ISC 2018, Derek Bouius from AMD describes how HPC users can take advantage of new AMD EPYC processors and Radeon GPUs to accelerate their applications. “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.”

AMD Takes the gloves off at ISC 2018

This week at ISC 2018, AMD demonstrated its next generation of CPU and GPU technologies, including a first look at: 7nm AMD Radeon Vega GPU products, 12nm 2nd Generation AMD Ryzen Threadripper processors with up to 32 cores, and unprecedented customer adoption of Ryzen and Radeon products in premium OEM devices.

BOXX Special Edition Workstation Breaks 5.0GHz Clock Speed Barrier

BOXX Technologies has announced “the world’s fastest workstation” featuring a professionally overclocked Intel Core i7-8086K Limited Edition processor capable of reaching 5.0GHz across all six of its cores. In commemoration of the 40th anniversary of the Intel 8086 (the processor that launched x86 architecture), Intel provided BOXX with a limited number of the exclusive, high performance CPUs ideal for CAD, 3D modeling, and animation workflows. “The APEXX SE workstation extends far beyond the celebration of the 8086 anniversary,” said Shoaib Mohammad, BOXX VP of Marketing and Business Development. “By integrating this special technology, we’re providing our customers with a unique opportunity to accelerate their workflows with historic Intel processing power they can’t get from the multinational, commodity PC manufacturers.”

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.”

AMD EPYC Coming to Cisco UCS Rack Servers

Over at the AMD Blog, Scot Aylor writes that the company’s EPYC processors are coming to Cisco’s popular UCS server platform. “The new, density-optimized Cisco UCS C4200 Series Rack Server Chassis and the Cisco UCS C125 M5 Rack Server Node will be powered by AMD EPYC 7000 series processors. By integrating AMD EPYC processors, Cisco joins a growing list of server providers taking advantage of the high-performance EPYC processor’s strong balance of core density, memory, I/O bandwidth and unprecedented security features to deliver revolutionary technology for customers.”

Unified Deep Learning Configurations and Emerging Applications

This is the final post in a five-part series from a report exploring the potential machine and a variety of computational approaches, including CPU, GPU and FGPA technologies. This article explores unified deep learning configurations and emerging applications. 

Celebrating 20 Years of the OpenMP API

“The first version of the OpenMP application programming interface (API) was published in October 1997. In the 20 years since then, the OpenMP API and the slightly older MPI have become the two stable programming models that high-performance parallel codes rely on. MPI handles the message passing aspects and allows code to scale out to significant numbers of nodes, while the OpenMP API allows programmers to write portable code to exploit the multiple cores and accelerators in modern machines.”

CIARA steps up to High Frequency Trading and Blockchain with AMD

CIARA just announced new AMD-based systems for ultra-low latency, high Frequency Trading and Blockchain solutions. “With the adoption of new technologies such as large core count processors and the usage of ECC memory, the path for all financial enterprises to reap the benefits of safe hardware acceleration without compromising reliability is getting easier,” said Patrick Scateni, Vice President of Enterprise and Performance Group at CIARA. “The joint solutions coming from the CIARA and AMD will bring high-performance and broader choice of compute platforms to the FSI market.”

DNN Implementation, Optimization, and Challenges

This is the third in a five-part series that explores the potential of unified deep learning with CPU, GPU and FGPA technologies. This post explores DNN implementation, optimization and challenges. 

Exploring the Possibilities of Deep Learning Software

This is the second post in a five-part series from a report that explores the potential of unified deep learning with CPU, GPU and FGPA technologies. This post explores the possibilities and functions of software for deep learning.