AMD to Accelerate ARM Server Ecosystem

January 29, 2014

SAN JOSE, Calif., Jan. 29 — AMD has added a major new milestone to its list of seminal developments in server technology. The company displayed a comprehensive development platform for its first 64-bit ARM-based server CPU, fabricated using 28 nanometer process technology, the first from an established server vendor. AMD also announced the imminent sampling of the ARM-based processor, named the AMD Opteron A1100 Series, and a development platform, which includes an evaluation board and a comprehensive software suite. In addition, AMD announced that it would be contributing to the Open Compute Project a new micro-server design using the AMD Opteron A-Series, as part of the common slot architecture specification for motherboards dubbed “Group Hug.”

The AMD Opteron A-Series processor, codenamed “Seattle,” will sample this quarter along with a development platform that will make software design on the industry’s premier ARM–based server CPU quick and easy. AMD is collaborating with industry leaders to enable a robust 64-bit software ecosystem for ARM-based designs from compilers and simulators to hypervisors, operating systems and application software, in order to address key workloads in Web-tier and storage data center environments. The AMD Opteron A-Series development platform will be supported by a broad set of tools and software including a standard UEFI boot and Linux environment based on the Fedora Project, a Red Hat-sponsored, community-driven Linux distribution.

“The needs of the data center are changing.  A one-size-fits-all approach typically limits efficiency and results in higher-cost solutions,” said Suresh Gopalakrishnan, corporate vice president and general manager of the AMD server business unit.  “The new ARM-based AMD Opteron A-Series processor brings the experience and technology portfolio of an established server processor vendor to the ARM ecosystem and provides the ideal complement to our established AMD Opteron x86 server processors.”

The AMD Opteron A1100 Series processors support:

  • 4 or 8 core ARM Cortex-A57 processors
  • Up to 4 MB of shared L2 and 8 MB of shared L3 cache
  • Configurable dual DDR3 or DDR4 memory channels with ECC at up to 1866 MT/second
  • Up to 4 SODIMM, UDIMM or RDIMMs
  • 8 lanes of PCI-Express Gen 3 I/O
  • 8 Serial ATA 3 ports
  • 2 10 Gigabit Ethernet ports
  • ARM TrustZone technology for enhanced security
  • Crypto and data compression co-processors

The AMD Opteron A-Series development kit is packaged in a Micro-ATX form factor and includes:

  • An AMD Opteron A1100 Series processor
  • 4 Registered DIMM slots for up to 128GB of DDR3 DRAM
  • PCI Express connectors configurable as a single x8 or dual x4 ports
  • 8 Serial-ATA connectors
  • Compatibility with standard power supplies
  • Ability to be used stand-alone or mounted in standard rack-mount chassis
  • Standard UEFI boot environment
  • Linux environment based on Fedora, which provides developers with a rich set of tools and applications
    • Standard Linux GNU tool chain, including cross-development version
    • Platform device drivers
    • Apache web server, MySQL database engine, and PHP scripting language for developing robust web serving applications
    • Java 7 and Java 8 versions to provide developers to work in a 64-bit ARM environment

“Since 2012, AMD has been working with members of the Linaro Enterprise Group (LEG) on accelerating the ARM server ecosystem,” said Andrea Gallo, LEG director. “Linaro’s work on boot architecture including UEFI and ACPI, as well as key core server software such as an optimized LAMP stack and a best-in-class enterprise quality OpenJDK 8 Java implementation developed in collaboration with Red Hat, will enable AMD to deliver differentiated and innovative hardware solutions providing industry-leading performance and low-power products for the next generation of data center server platforms.”

AMD continues to drive the evolution of the open-source data center from vision to reality and bring choice among processor architectures. It is contributing the new AMD Open CS 1.0 Common Slot design based on the AMD Opteron A-Series processor compliant with the new Common Slot specification, also announced today, to the Open Compute Project.

“Predefined, ‘one size fits all’ server platforms are giving way to customized solutions that deliver high performance at the lowest power consumption,” said Frank Frankovsky, chairman and president of the Open Compute Project.  “AMD’s contribution to the Open Compute Project expands a growing portfolio of OCP designs that enable utilization and efficiency gains in data center operations.”

AMD’s Andrew Feldman and Suresh Gopalakrishnan, executives in the server business unit, will be hosting a virtual press briefing today at 1:30 p.m. PT/ 4:30 p.m. ET to discuss the AMD Opteron A-Series announcement. Ian Drew, CMO of ARM, will also be on hand.

For more information please visit AMD’s booth at the Open Compute Summit today and tomorrow where the AMD Opteron-A development kit, AMD Open CS 1.0 server platform and partner technologies will be on display.

About AMD

AMD designs and integrates technology that powers millions of intelligent devices, including personal computers, tablets, game consoles and cloud servers that define the new era of surround computing. AMD solutions enable people everywhere to realize the full potential of their favorite devices and applications to push the boundaries of what is possible. For more information, visit www.amd.com.

—–

Source: AMD

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Google Gets First Dibs on New Skylake Chips

February 27, 2017

As part of an ongoing effort to differentiate its public cloud services, Google made good this week on its intention to bring custom Xeon Skylake chips from Intel Corp. Read more…

By George Leopold

Thomas Sterling on CREST and Academia’s Role in HPC Research

February 27, 2017

The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, and academia. Read more…

By Thomas Sterling, Indiana University

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

Weekly Twitter Roundup (Feb. 23, 2017)

February 23, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

HPE Extreme Performance Solutions

Manufacturers Reaping the Benefits of Remote Visualization

Today’s manufacturers are operating in an ever-changing atmosphere, and finding new ways to boost productivity has never been more vital.

This is why manufacturers are ramping up their investments in high performance computing (HPC), a trend which has helped give rise to the “connected factory” and Industrial Internet of Things (IIoT) concepts that are proliferating throughout the industry today. Read more…

HPE Server Shows Low Latency on STAC-N1 Test

February 22, 2017

The performance of trade and match servers can be a critical differentiator for financial trading houses. Read more…

By John Russell

HPC Financial Update (Feb. 2017)

February 22, 2017

In this recurring feature, we’ll provide you with financial highlights from companies in the HPC industry. Check back in regularly for an updated list with the most pertinent fiscal information. Read more…

By Thomas Ayres

Rethinking HPC Platforms for ‘Second Gen’ Applications

February 22, 2017

Just what constitutes HPC and how best to support it is a keen topic currently. Read more…

By John Russell

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

Thomas Sterling on CREST and Academia’s Role in HPC Research

February 27, 2017

The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, and academia. Read more…

By Thomas Sterling, Indiana University

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

Leading Solution Providers

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

  • arrow
  • Click Here for More Headlines
  • arrow
Share This