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Time: 2016-12-13 16:43:44 UTC

Original URL: https://www.hpcwire.com/2016/12/13/amd-instinct-machine-intelligence/?utm_source=rss&utm_medium=rss&utm_campaign=amd-instinct-machine-intelligence [hpcwire.com] using UTF-8 encoding.

Title: AMD Reveals ‘Instinct’ for Machine Intelligence

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AMD Reveals ‘Instinct’ for Machine Intelligence

Arthur T Knackerbracket has found the following story [hpcwire.com]:

Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them

Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them

December 13, 2016

At the AMD Tech Summit in Sonoma, Calif., last week (Dec. 7-9), CEO Lisa Su unveiled the company’s vision to accelerate machine intelligence over the next five to ten years with an open and heterogeneous computing approach and a new suite of hardware and open-source software offerings.

The roots for this strategy can be traced back to the company’s acquisition of graphics chipset manufacturer ATI in 2006 and the subsequent launch of the CPU-GPU hybrid Fusion generation of computer processors. In 2012, the Fusion platform matured into the Heterogeneous Systems Architecture (HSA), now owned and maintained by the HSA Foundation [hpcwire.com].

Ten years since launching Fusion, AMD believes it has found the killer app for heterogeneous computing in machine intelligence, which is driven by exponential data surges.

“We generate 2.5 quintillion bytes of data every single day – whether you’re talking about Tweets, YouTube videos, Facebook, Instagram, Google searches or emails,” said Su. “We have incredible amounts of data out there. And the thing about this data is it’s all different – text, video, audio, monitoring data. With all this different data, you really are in a heterogeneous system and that means you need all types of computing to satisfy this demand. You need CPUs, you need GPUs, you need accelerators, you need ASICS, you need fast interconnect technology. The key to it is it’s a heterogeneous computing architecture.

“Why are we so excited about this? We’ve actually been talking about heterogeneous computing for the last ten years,” Su continued. “This is the reason we wanted to bring CPUs and GPUs together under one roof and we were doing this when people didn’t understand why we were doing this and we were also learning about what the market was and where the market needed these applications, but it’s absolutely clear that for the machine intelligence era, we need heterogeneous compute.”

Aiming to boost the performance, efficiency, and ease of implementation of deep learning workloads, AMD is introducing a brand-new hardware platform, Radeon Instinct, and new Radeon open source software solutions.

The Instinct brand will launch in the first half of 2017 with three accelerators (MI6, MI8 and MI25):

All the Instinct cards are built exclusively by AMD and feature passive cooling, AMD MultiGPU (MxGPU) hardware virtualization technology conforming with the SR-IOV (Single Root I/O Virtualization) industry standard, and 64-bit PCIe addressing with Large Base Address Register (BAR) support for multi-GPU peer-to-peer support.

AMD also announced MIOpen, a free, open-source library for GPU accelerators aimed at easing implementation of high-performance machine intelligence applications. Availability for MIOpen is planned for Q1 2017. It will be part of the ROCm software stack, AMD’s open-source HPC-class platform for GPU computing.

“We are going to address key verticals that leverage a common infrastructure,” said Raja Koduri, senior vice president and chief architect of Radeon Technologies Group. “The building block is our Radeon Instinct hardware platform, and above that we have the completely open source Radeon software platform. On top of that we’re building optimized machine learning frameworks and libraries.”

AMD is also investing in open interconnect technologies for heterogeneous accelerators; the company is a founding member of CCIX, Gen-Z and OpenCAPI.

Koduri previewed several of the server platforms that will be combine Radeon Instinct with AMD’s upcoming “Naples” server-class chip. You’ll recall that Naples is a 32 core (64-thread) server CPU based on the Zen microarchitecture, which is purported to enable a 40 percent generational improvement in instructions per clock. Koduri said that customers AMD spoke with at SC16 were most excited about this merging of technology.

“Many times we are required to have multiple CPUs like dual or quad CPUs in order get a certain memory footprint or to get a certain number of GPUs connected to that. If we are able to get that done in a single socket, that’s going to decrease the cost of deployment by increasing performance,” said Vik Malyala, senior director of marketing at Supermicro, during a panel presentation at the AMD Tech Summit.

Supermicro is one of the server partners that is working with AMD to execute its heterogeneous hardware strategy. The Supermicro SYS 1028GQ-TRT box will sport three Radeon Instinct boards.

Inventec, AMD’s ODM partner, is building the following platforms:

The Naples server CPU is expected to debut in the second quarter of 2017. AMD said that demonstrations of Naples will be forthcoming as it gets closer to launch.

The AMD Tech Summit is a follow-on to the inaugural summit that debuted last December (2015). That first event was initiated by Raja Koduri as a team-building activity for the newly minted Radeon Technologies Group. The initial team of about 80, essentially hand-picked by Koduri to focus on graphics, met in Sonoma along with about 15 members of the press. The event was expanded this year to accommodate other AMD departments and nearly 100 media and analyst representatives.

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December 15, 2016

At the international IEDM 2016 conference earlier this month, Purdue University researchers revealed a number of technologies and concepts aimed at transforming tomorrow’s semiconductors. Read more… [hpcwire.com]

December 15, 2016

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… [hpcwire.com]

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more… [hpcwire.com]

December 13, 2016

Changes of personnel with changes of the U.S. Administration are de rigueur so it’s not yet clear what this one means, but Greg Simon, executive director of the White House Cancer Moonshot Task Force, will leave his post in January according a report by Precision Medicine World Conference News. Read more… [hpcwire.com]

December 13, 2016

Amazon Web Services yesterday launched a new initiative – AWS Research Cloud – aimed at “accelerating science and innovation” according to the cloud services giant. Read more… [hpcwire.com]

December 13, 2016

At the AMD Tech Summit in Sonoma, Calif., last week (Dec. 7-9), CEO Lisa Su unveiled the company’s vision to accelerate machine intelligence over the next five to ten years with an open and heterogeneous computing approach and a new suite of hardware and open-source software offerings. Read more… [hpcwire.com]

December 12, 2016

During SC16, Exascale Computing Project Director Paul Messina hinted at an accelerated timeline for reaching exascale in the US and now we have official confirmation from Dr. Messina that the US is contracting its exascale timeline by one year. Read more… [hpcwire.com]

December 8, 2016

Around the world, efforts are ramping up to cross the next major computing threshold with machines that are 50-100x more performant than today’s fastest number crunchers.  Read more… [hpcwire.com]

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more… [hpcwire.com]

December 13, 2016

At the AMD Tech Summit in Sonoma, Calif., last week (Dec. 7-9), CEO Lisa Su unveiled the company’s vision to accelerate machine intelligence over the next five to ten years with an open and heterogeneous computing approach and a new suite of hardware and open-source software offerings. Read more… [hpcwire.com]

December 12, 2016

During SC16, Exascale Computing Project Director Paul Messina hinted at an accelerated timeline for reaching exascale in the US and now we have official confirmation from Dr. Messina that the US is contracting its exascale timeline by one year. Read more… [hpcwire.com]

December 8, 2016

Around the world, efforts are ramping up to cross the next major computing threshold with machines that are 50-100x more performant than today’s fastest number crunchers.  Read more… [hpcwire.com]

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… [hpcwire.com]

December 5, 2016

Who is Dell EMC and why should you care? Glad you asked is Jim Ganthier’s quick response. Ganthier is SVP for validated solutions and high performance computing for the new (even bigger) technology giant Dell EMC following Dell’s acquisition of EMC in September. In this case, says Ganthier, the blending of the two companies is a 1+1 = 5 proposition. Not bad math if you can pull it off. Read more… [hpcwire.com]

December 1, 2016

Amazon Web Services now offers a way to move data into its cloud by the truckload. Read more… [hpcwire.com]

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… [hpcwire.com]

August 23, 2016

In 1994, two NASA employees connected 16 commodity workstations together using a standard Ethernet LAN and installed open-source message passing software that allowed their number-crunching scientific application to run on the whole “cluster” of machines as if it were a single entity. Read more… [hpcwire.com]

August 30, 2016

After offering OpenPower Summit attendees a limited preview in April, IBM is unveiling further details of its next-gen CPU, Power9, which the tech mainstay is counting on to regain market share ceded to rival Intel. Read more… [hpcwire.com]

September 30, 2016

Amazon Web Services has seeded its cloud with Nvidia Tesla K80 GPUs to meet the growing demand for accelerated computing across an increasingly-diverse range of workloads. The P2 instance family is a welcome addition for compute- and data-focused users who were growing frustrated with the performance limitations of Amazon's G2 instances, which are backed by three-year-old Nvidia GRID K520 graphics cards. Read more… [hpcwire.com]

September 7, 2016

The Department of Energy’s Exascale Computing Project (ECP) hit an important milestone today with the announcement of its first round of funding, moving the nation closer to its goal of reaching capable exascale computing by 2023. Read more… [hpcwire.com]

August 22, 2016

ARM and Fujitsu today announced a scalable vector extension (SVE) to the ARMv8-A architecture intended to enhance ARM capabilities in HPC workloads. Fujitsu is the lead silicon partner in the effort (so far) and will use ARM with SVE technology in its post K computer, Japan’s next flagship supercomputer planned for the 2020 timeframe. This is an important incremental step for ARM, which seeks to push more aggressively into mainstream and HPC server markets. Read more… [hpcwire.com]

August 15, 2016

Steadily advancing neuromorphic computing technology has created high expectations for this fundamentally different approach to computing. Read more… [hpcwire.com]

September 8, 2016

Not long after revealing more details about its next-gen Power9 chip due in 2017, IBM today rolled out three new Power8-based Linux servers and a new version of its Power8 chip featuring Nvidia’s NVLink interconnect. Read more… [hpcwire.com]

September 26, 2016

Vector instructions, once a powerful performance innovation of supercomputing in the 1970s and 1980s became an obsolete technology in the 1990s. But like the mythical phoenix bird, vector instructions have arisen from the ashes. Here is the history of a technology that went from new to old then back to new. Read more… [hpcwire.com]

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… [hpcwire.com]

August 18, 2016

At the Intel Developer Forum, held in San Francisco this week, Intel Senior Vice President and General Manager Diane Bryant announced the launch of Intel's Silicon Photonics product line and teased a brand-new Phi product, codenamed "Knights Mill," aimed at machine learning workloads. Read more… [hpcwire.com]

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… [hpcwire.com]

September 29, 2016

The freshly minted Dell EMC division of Dell Technologies is on a mission to take HPC mainstream with a strategy that hinges on engineered solutions, beginning with a focus on three industry verticals: manufacturing, research and life sciences. "Unlike traditional HPC where everybody bought parts, assembled parts and ran the workloads and did iterative engineering, we want folks to focus on time to innovation and let us worry about the infrastructure," said Jim Ganthier, senior vice president, validated solutions organization at Dell EMC Converged Platforms Solution Division. Read more… [hpcwire.com]

October 20, 2016

HPC container platform Singularity is just six months out from its 1.0 release but already is making inroads across the HPC research landscape. It's in use at Lawrence Berkeley National Laboratory (LBNL), where Singularity founder Gregory Kurtzer has worked in the High Performance Computing Services (HPCS) group for 16 years. Read more… [hpcwire.com]

March 21, 2016

Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical. Read more… [hpcwire.com]

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… [hpcwire.com]

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… [hpcwire.com]

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