ARM Bolsters HPC Position Through Acquisition

ARM Bolsters HPC Position Through Acquisition

By Unknown   02:53   No comments:

LONDON--ARM (Cambridge, UK) has announced that it has acquired Allinea Software (San Jose, CA), a leading provider of software tools for high performance computing (HPC); ARM says that this extends its range of development tools to HPC, machine learning and data analytics markets.

Allinea Software specializes in development and performance analysis tools to maximize the efficiency of software for HPC systems, and claims that 20 of the world’s top 25 supercomputers use its tools, with key customers including the US Department of Energy, NASA, a range of supercomputing national labs and universities, and private companies using HPC systems for scientific computation.

Allinea’s tools provide developers with the ability to deal with systems with hundreds, thousands (and hundreds of thousands) of cores. The product suite includes the developer tool suite Allinea Forge, which incorporates an application debugger called Allinea DDT and a performance analyzer called Allinea MAP, and an analysis tool for system owners, users and administrators called Allinea Performance Reports.

“As systems and servers grow in complexity, developers in HPC are facing new challenges that require advanced tools designed to enable them to continue to innovate,” said Javier Orensanz, general manager, development solutions group, ARM. “Allinea’s ability to debug and analyze many-node systems is unique, and with this acquisition we are ensuring that this capability remains available to the whole ARM ecosystem, and to the other CPU architectures prevalent in HPC, as well as in future applications such as artificial intelligence, machine learning and advanced data analytics.”

This acquisition continues ARM’s growth strategy in HPC and builds on the recent Fujitsu’s 64-bit ARMv8-A powered Post K supercomputer, and the launch of the ARMv8-A Scalable Vector Extension. It follows the announcement that ARMv8-A will be the first alternative architecture with OpenHPC support, and the release of ARM Performance Libraries, which provide software development and portability to ARMv8-A server platforms. ARM says that Allinea’s expertise will give partners access to a comprehensive software tools suite that address increasingly complex system challenges.

“Writing and deploying software that exploits the ever increasing computing power of clusters and supercomputers is a demanding challenge - it needs to run fast, and run right, and that’s exactly what our suite of tools is designed to enable,” said David Lecomber, CEO, Allinea.

“As part of ARM, we’ll continue to work with the HPC community, our customers and our partners to advance the development of our cross-platform technology, and take advantage of product synergies between ARM’s compilers, libraries and advisory tools and our existing and future debugging and analysis tools. Our combined expertise and understanding of the challenges this market faces will deliver new solutions to this growing ecosystem.”

Allinea will be integrated into the ARM business with all functions and Allinea’s Warwick and Eastleigh (UK) locations retained.

 

Read More

ARM acquisition bolsters its position in high-performance computing

ARM acquisition bolsters its position in high-performance computing

By Unknown   01:33   No comments:

ARM (Cambridge, UK) has announced that it has acquired Allinea Software (San Jose, CA), a leading provider of software tools for high performance computing (HPC); ARM says that this extends its range of development tools to HPC, machine learning and data analytics markets.

Allinea Software specializes in development and performance analysis tools to maximize the efficiency of software for HPC systems, and claims that 20 of the world’s top 25 supercomputers use its tools, with key customers including the US Department of Energy, NASA, a range of supercomputing national labs and universities, and private companies using HPC systems for scientific computation.

Allinea’s tools provide developers with the ability to deal with systems with hundreds, thousands (and hundreds of thousands) of cores. The product suite includes the developer tool suite Allinea Forge, which incorporates an application debugger called Allinea DDT and a performance analyzer called Allinea MAP, and an analysis tool for system owners, users and administrators called Allinea Performance Reports.

“As systems and servers grow in complexity, developers in HPC are facing new challenges that require advanced tools designed to enable them to continue to innovate,” said Javier Orensanz, general manager, development solutions group, ARM. “Allinea’s ability to debug and analyze many-node systems is unique, and with this acquisition we are ensuring that this capability remains available to the whole ARM ecosystem, and to the other CPU architectures prevalent in HPC, as well as in future applications such as artificial intelligence, machine learning and advanced data analytics.”

This acquisition continues ARM’s growth strategy in HPC and builds on the recent Fujitsu’s 64-bit ARMv8-A powered Post K supercomputer, and the launch of the ARMv8-A Scalable Vector Extension. It follows the announcement that ARMv8-A will be the first alternative architecture with OpenHPC support, and the release of ARM Performance Libraries, which provide software development and portability to ARMv8-A server platforms. ARM says that Allinea’s expertise will give partners access to a comprehensive software tools suite that address increasingly complex system challenges.

“Writing and deploying software that exploits the ever increasing computing power of clusters and supercomputers is a demanding challenge - it needs to run fast, and run right, and that’s exactly what our suite of tools is designed to enable,” said David Lecomber, CEO, Allinea.

“As part of ARM, we’ll continue to work with the HPC community, our customers and our partners to advance the development of our cross-platform technology, and take advantage of product synergies between ARM’s compilers, libraries and advisory tools and our existing and future debugging and analysis tools. Our combined expertise and understanding of the challenges this market faces will deliver new solutions to this growing ecosystem.”

Allinea will be integrated into the ARM business with all functions and Allinea’s Warwick and Eastleigh (UK) locations retained.


 

Read More

Intel's new PC, IoT chief brings fresh ideas to the veteran chip maker

Intel's new PC, IoT chief brings fresh ideas to the veteran chip maker

By Unknown   23:53   No comments:

Intel's second-in-command Venkata Renduchintala is feeling at home with his new company after he switched over from Qualcomm

 Venkata Renduchintala is president of Intel's Client and Internet of Things (IoT) businesses and Systems Architecture Group.

Intel is now more than just a PC company. At industry events, the company's keynotes feature drones flying around, robots walking on stage and musicians creating tunes from wearables. The chip maker is helping BMW build an autonomous car, will sell modems to Apple, and is leading the development of next-generation 5G cellular networks. For all these new markets, it will provide chip and data-center technologies.

The transformation is happening partly under the leadership of Venkata Renduchintala, president of the Client and Internet of Things (IoT) Businesses and Systems Architecture Group at Intel. As Intel's second-in-command, he helped cut struggling products like mobile CPUs and sharpened the company's focus on IoT, servers, and connectivity.

Hired from rival Qualcomm late last year, he's an outsider trying to rid Intel of its historical resistance to change. He's also bringing fresh ideas and wholesale changes to  Intel, which promises to bring a new dynamic to the Silicon Valley institution.

IDG News Service spoke with him on a range of topics including VR headsets, IoT, autonomous cars, competitors and the decision to cut products. This is an edited version of the discussion.

IDGNS: How have you settled into your new job? What drew you to Intel?

It's been a really interesting process of acclimation. It's a great mixture of feeling, like an organization where I think my experience and my interests can really help the journey [CEO] Brian [Krzanich] wants to undertake with the company. The scale at which Intel can play is probably going to be very difficult for others to match if you look across, client, networking and the data center groups. The goal is to be able to think as one Intel.

IDGNS: There have been questions on how you would fit into Intel, which has a closed culture and history of promoting executives internally. Many people hired from external companies haven't worked out.

One thing that's really important to understand is that Intel is a company of tremendous heritage. I'm not coming in to fix anything. I'm coming in hopefully to add another dimension and an important ingredient to the management team that Brian has at his disposal. It requires me to respect what Intel has been able to achieve and the caliber of the management team and the brands assimilated. I don't think Brian hired me to maintain the status quo. I think what he wanted was a strong ingredient of outside-in thinking complementing the original thoughts. I'm feeling very comfortable now in being able to feel like I've got a good bunch of colleagues who know where I'm coming from; we can speak straight to each other and we can actually have really good discussions of meritocracy.

IDGNS: You had to make some decisions on cutting products Intel has worked on for years as the company's priorities were reset. How tough was it?

When you come into a company you have a degree of objectivity that isn't tainted by your attachments to the genesis of certain projects. For me it was a fairly structured, objective discussion where you make decisions in a transparent and open manner. As long as you can walk people through your thinking, you can take what was very controversial and make it very logical. I'm passionate about technology but I'm also passionate about profitability and how the two are married in a seamlessly reinforcing way.

IDGNS: What's the reasoning behind cutting mobile processors to focus on modems?

First of all, we rationalized what we were spending our R&D on. We had a couple of mobile SoC products that I don't think were worthy to continue to conclusion. That doesn't mean to say we're no longer doing mobile platforms. On the mobile platform side, my commitment is to talk less and do more. When we have something to say we'll talk about it.

On the modem side, it's a fundamental technology and this is where I think it comes down to being as indelible for us as our competence in CPU or GPU. We've set ourselves up with a very interesting road-map, but more importantly, we've established a degree of credibility, relevance and importance as a key technology partner with a number of key players in the industry that I think is really important.

IDGNS: What are your top priorities and goals?

I have three uber-level goals. One is to continue to drive our client computing business to a position of stable profitability in the face of a slowly declining [market]. I think we're doing well in that area. The second is to grow and scale our IoT business from something that's very interesting to something that's really substantial in the longer term. The IoT business for us is a microcosm of the entire company coming together -- we're creating a type of all-for-one, one-for-all mentality. The third is to maintain a degree of vibrancy in the technology leadership of our entire systems architecture organization. It's developing all the core technologies that really moves the competitive needle forward.

IDGNS: Intel's untethered mixed-reality headset called Project Alloy was big news at IDF. What are the expectations from Alloy and how are things going?

The whole point of having tetherless VR is a big deal. Everything we're doing in Alloy we're going to open-source. We can take VR and evolve it from the very rudimentary definitions today of [VR] in a smart phone that you clip into some kind of visor. You can move it to a capable, embedded PC that's driving two to three teraflops of computing and generate a really immersive experience. That was really it -- taking ideas out from the lab, productizing them, solving all those problems of integration, figuring out how RealSense and depth camera fits into all of that, figuring out how to do merged reality,  and saying "now go scale the ecosystem."

IDGNS: Is the VR headset the new PC?

I think it's another very interesting growth opportunity for the PC. I think it can generate a specific class of products in its own right. It will generate different segmentation points and probably a custom piece of silicon built on the PC platform that amplify the use case. So we're very excited about the whole VR space.

IDGNS: Intel hasn't given up on Moore's Law, though many believe it is reaching its end. How is Intel preparing for a future when manufacturing reaches atomic scale, and how will chips look beyond Kaby Lake?

Nobody inside Intel is coming anywhere near the kind-of-like fatalistic conclusions about where Moore's Law is. Intel has had a stellar track record in delivering node generation like clockwork. Maybe we've moved from a two-year to a two-and-a-half-year cadence, but we already see light at the end of the tunnel. We will continue to drive process technology and nobody is calling timeout on anything. We're working hard on 7-nanometer, we're talking about pathfinding for 5-nanometer. All of that is in the throes. We made a great announcement on Kaby Lake -- that's using an evolution of 14-nanometer transistor geometry that gave a substantially improved user experience compared to Skylake. We're going to continue to do more of that as we continue to drive process leadership.

IDGNS: Are you happy with your current chip line-up -- Kaby Lake for PCs, and Atom for IoT?

We have a competent portfolio of products. I'm in no way shape or form concluding they are complete and aren't going to be benefited from augmentation. For me I think it's really wanting to understand the use cases a lot more. I don't see an IoT strategy for Intel being one where everything is delivered by Intel. It's integrating a number of different technologies that could be indigenous to Intel, or could be created by other companies, but managed in a way where people could look at Intel as somebody providing the overarching framework of integration.

IDGNS: IoT is a big part of Intel's future. What's the strategy for that market?

That's a significant business. I think we're just starting. As you see the advent of autonomous driving vehicles, you see robots and drones start to ship in scale: those are very high value opportunities for us. We characterize our IoT interests into three verticals: industrial, transportation and retail -- all of them have an end-to-end dimension where we're providing a client environment, the networking infrastructure and the data analytics platform that drives all of that through industry partnerships.

IDGNS: Would in any way the ARM foundry deal help Intel achieve its goals in IoT and other areas? Would you be open to the idea of taking an ARM CPU license, as an example?

Open to? Yes. My view is fairly straightforward -- that Intel's IoT plan has to not only be able to harmoniously integrate Intel-based microprocessors and MCUs, it has to be able to aggregate and harmoniously integrate a plethora of different types of MCUs, whether it be ARM-based, MIPS-based, or proprietary MCUs. All of them have the ability to monitor, sense data that they want to get on to an information highway of some kind. Our ability to [support] many different client environments is going to be a necessity in any vertical IoT strategy we have. There are many areas in the ARM ecosystem where Intel can pragmatically play in for its own benefit. I'm a big believer in paying respect to established ecosystems.

IDGNS: Self-driving cars are a big deal for Intel. Could you talk about projects in the pipeline?

Our goal is to provide the type of computing power that dwarfs anything that exists in a car today, but basically make it mainstream. What we're doing on our Xeon Phi processor for machine learning and deep learning, what we're doing in computer vision and also supplemented by radar and lidar. Being able to aggregate that data, generate intelligence, make decisions on it with assistance from machine and deep learning algorithms -- that's all happening as we speak.

IDGNS: How do you see the autonomous car market evolving?

I see the first explosive area to be in the urban transportation environment where  services like Uber and Lyft will evolve and develop. There's going to be a lot of experimentation and path-finding to do in addition to technology creation. We're probably talking about a decade away. Stamina to invest is going to be really important;  those that have the stamina to stay the course are going to win big.

IDGNS: Nvidia is approaching the automotive markets aggressively with its GPUs, how will you compete?

I have a great deal of respect for Nvidia. But every time I think of Nvidia, I think about Californian wine where they can make great wine but it contains only one grape -- great Cabernet Sauvignon or a great Chardonnay. I love French wines and French wines are blends where you need to be great at growing Cabernet, great at growing Merlot, great at growing Cabernet Franc. The art is in the mixture. That's the benefit Intel has. We have GPU, we have CPU, we have custom silicon, we have embedded storage, we have FPGA. Nvidia's going to basically say "I've got GPUs and I've got GPUs and I've got GPUs." Great strategy, but it doesn't give anywhere near the extensibility, flexibility and scalability that Intel is able to offer.

IDGNS: How will 5G influence changes in the way devices are made and work?

5G is as much about the transformation of the network and the infrastructure as it is the client environment. [There is] going to be an even greater demand from mobile broadband bandwidth, people are going to want tens of gigabytes per second, if not hundreds of gigabytes per second. We're going to see much greater pervasiveness of client devices. If you talk about autonomous vehicles or delivering health services over a mobile network, you need to be able to make life or death decisions based on that. The network has to transform and the data center becomes a much higher order entity that's focused on massive data analytics that orchestrates that entire network.

Read More

IBM and NVIDIA Move to Corner the Enterprise Market for AI

IBM and NVIDIA Move to Corner the Enterprise Market for AI

By Unknown   23:13   No comments:

A number of coming technologies will undoubtedly change the world as we know it. Two came to light last week while I was trying, and failing, to enjoy an infrequent vacation. One is a power storage technology that has high capacity and doesn’t catch fire or explode like lithium ion batteries. The other, and far more important, is artificial intelligence (AI), which has the potential to change our lives for the better or worse, but dramatically either way.

An alliance between two of the most powerful companies in this race, IBM and NVIDIA, was announced last week around a small, intelligent, rack-mounted server called the Power System S822LC. This was part of a three-server launch last week and I think the implications are really interesting. NVIDIA is naturally very excited about this.

Let’s explore why this partnership between two powerhouses could be really interesting.

Think

The word that IBM has connected with itself for much of my life is “Think,” and when it announced Watson, it put itself on a path to make that connection a reality. But Watson, as powerful as it is, is an intellectual baby when it comes to where the industry wants to go. Intelligent machines -- computers that can learn, adapt, and then make decisions based on data -- represent the future of computing and, some argue, the future of the human race.

TheChallenges of Cloud Integration - Download Now

This makes for an impressive potential world impact and the firm, or firms, that get this right first will likely own the next age of computing. IBM, with Watson, got the initial lead, but Watson is expensive to buy and expensive to train.

That’s why this isn’t a one-company effort. It can’t be; it will require a team.

NVIDIA 

Now, while IBM was working on large-scale AI, NVIDIA has been working on packaged intelligence as a technology. Its Drive PX, CX, and DGX-1 platforms are designed to make cars intelligent. However, DGX-1 goes well beyond this in that it forms the basis for the learning that other platforms can use in production. In short, you train the DGX-1 and it trains, at scale, everything else it feeds. This is close, in concept, to being able to manufacture things (initially cars) that come off the line with all of the knowledge they need to operate. If we were talking people, this would be like having a kid that starts out at birth knowing everything you know.

Now we just need to put the parts together.

IBM + NVIDIA

If we combine the two companies, we get the potential for not only a system that is far less expensive to buy but one that is far less expensive to train. The result may potentially be a system that is far smarter than Watson, far more capable than the DGX-1, and able to move both companies to the next tier.

OpenPOWER

The market is currently largely x86, and Intel dominates. Only one non-x86 platform has the potential to address this AI opportunity near term, and that is OpenPOWER, largely because it is backed by IBM and, unlike ARM, it is in production for servers of this class. It is also a technology shared by a variety of vendors, making it more attractive to customers like Google, which is aggressive with AI and particularly favors open systems.

When you combine IBM, NVIDIA and OpenPOWER, you get something unique and potentially very powerful in this race to intelligent computing.

Wrapping Up: Power of the Partnership

In the end, the eventual success of this effort will likely be directly attributable to how well IBM and NVIDIA partner over time. A similar partnership between IBM, Intel and Microsoft created the PC market. If IBM and NVIDIA can do better (that earlier partnership fell apart), then the potential for both firms to own this next technology wave is unmatched. If not, then we’ll just have another story about big firms failing to meet their potential.

For now, IBM and NVIDIA have the inside track, but it’s early in the race. While this new line of servers is a great start, as both companies know, it matters far less who leads a race at the beginning than who leads a race at the end.

Rob Enderle is President and Principal Analyst of the Enderle Group, a forward-looking emerging technology advisory firm.  With over 30 years’ experience in emerging technologies, he has provided regional and global companies with guidance in how to better target customer needs; create new business opportunities; anticipate technology changes; select vendors and products; and present their products in the best possible light. Rob covers the technology industry broadly. Before founding the Enderle Group, Rob was the Senior Research Fellow for Forrester Research and the Giga Information Group, and held senior positions at IBM and ROLM. Follow Rob on Twitter @enderle, on Facebook and on Google+.

Read More

ARM enters the supercomputer race

ARM enters the supercomputer race

By Unknown   04:20   No comments:

ARM’s newsroom site says nothing about it – yet. However, according to PC World, ARM’s first supercomputer chip will find its way into a machine based in Japan. The Post-K computer, to be developed by Fujitsu, and should be 50 – 100 times faster than its predecessor, the K Computer.

At peak performance, the K Computer delivers 10.5 petaflops (one quadrillion floating point operations per second (FLOPS). PC World says the new processor will be based on the 64-bit ARM-v8A architecture. It will have vector processing extensions called Scalabe Vector Extension.

ARM has made a name for itself creating mobile chips, and with its products being featured in Apple’s iPhone, it is a pretty powerful company. However, it was acquired by Japanese company Softbank, for $32 billion (£24.5bn). With this cash, ARM will be looking to strengthen its position in both servers and IoT (internet of things) industries.

What we should expect in the near(er) future is for these supercomputers to reach one exaflop. All hotshots (Intel, Nvidia, IBM), have been pushing to reach that goal some time now. Some media are also saying that ARM’s chips could be a more power-efficient alternative, knowing that large-scale supercomputers draw megawatts of power.

Read More