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nVidia Releases CUDA

July 10, 2014 by  
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Nvidia has released CUDA – its code that lets developers run their code on GPUs – to server vendors in order to get 64-bit ARM cores into the high performance computing (HPC) market.

The firm said today that ARM64 server processors, which are designed for microservers and web servers because of their energy efficiency, can now process HPC workloads when paired with GPU accelerators using the Nvidia CUDA 6.5 parallel programming framework, which supports 64-bit ARM processors.

“Nvidia’s GPUs provide ARM64 server vendors with the muscle to tackle HPC workloads, enabling them to build high-performance systems that maximise the ARM architecture’s power efficiency and system configurability,” the firm said.

The first GPU-accelerated ARM64 software development servers will be available in July from Cirrascale and E4 Computer Engineering, with production systems expected to ship later this year. The Eurotech Group also plans to ship production systems later this year.

Cirrascale’s system will be the RM1905D, a high density two-in-one 1U server with two Tesla K20 GPU accelerators, which the firm claims provides high performance and low total cost of ownership for private cloud, public cloud, HPC and enterprise applications.

E4′s EK003 is a production-ready, low-power 3U dual-motherboard server appliance with two Tesla K20 GPU accelerators designed for seismic, signal and image processing, video analytics, track analysis, web applications and Mapreduce processing.

Eurotech’s system is an “ultra-high density”, energy efficient and modular Aurora HPC server configuration, based on proprietary Brick Technology and featuring direct hot liquid cooling.

Featuring Applied Micro X-Gene ARM64 CPUs and Nvidia Tesla K20 GPU accelerators, the new ARM64 servers will provide customers with an expanded range of efficient, high-performance computing options to drive compute-intensive HPC and enterprise data centre workloads, Nvidia said.

Nvidia added, “Users will immediately be able to take advantage of hundreds of existing CUDA-accelerated scientific and engineering HPC applications by simply recompiling them to ARM64 systems.”

ARM said that it is working with Nvidia to “explore how we can unite GPU acceleration with novel technologies” and drive “new levels of scientific discovery and innovation”.

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ARM To Focus On 64-bit SoC

May 15, 2014 by  
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ARM announced its first 64-bit cores a while ago and SoC makers have already rolled out several 64-bit designs. However, apart from Apple nobody has consumer oriented 64-bit ARM devices on the market just yet. They are slowly starting to show up and ARM says the transition to 64-bit parts is accelerating. However, the first wave of 64-bit ARM parts is not going after the high-end market.

Is 64-bit support on entry-level SoCs just a gimmick?

This trend raises a rather obvious question – are low end ARMv8 parts just a marketing gimmick, or do they really offer a significant performance gain? There is no straight answer at this point. It will depend on Google and chipmakers themselves, as well as phonemakers.

Qualcomm announced its first 64-bit part late last year. The Snapdragon 410 won’t turn many heads. It is going after $150 phones and it is based on Cortex A53 cores. It also has LTE, which makes it rather interesting.

MediaTek is taking a similar approach. Its quad-core MT6732 and octa-core MT6752 parts are Cortex A53 designs, too. Both sport LTE connectivity.

Qualcomm and MediaTek appear to be going after the same market – $100 to $150 phones with LTE and quad-core 64-bit stickers on the box. Marketers should like the idea, as they’re getting a few good buzzwords for entry-level gear.

However, we still don’t know much about their real-world performance. Don’t expect anything spectacular. The Cortex A53 is basically the 64-bit successor to the frugal Cortex A7. The A53 has a bit more cache, 40-bit physical addresses and it ends up a bit faster than the A7, but not by much. ARM says the A7 delivers 1.9DMIPS/MHz per core, while the A53 churns out 2.3DMIPS/MHz. That puts it in the ballpark of the good old Cortex A9. The first consumer oriented quad-core Cortex A9 part was Nvidia’s Tegra 3, so in theory a Cortex A53 quad-core could be as fast as a Tegra 3 clock-for-clock, but at 28nm we should see somewhat higher clocks, along with better graphics.

That’s not bad for $100 to $150 devices. LTE support is just the icing on the cake. Keep in mind that the Cortex A7 is ARM’s most efficient 32-bit core, hence we expect nothing less from the Cortex A53.

The Cortex A57 conundrum

Speaking to CNET’s Brooke Crothers, ARM executive vice president of corporate strategy Tom Lantzsch said the company was surprised by strong demand for 64-bit designs.

“Certainly, we’ve had big uptick in demand for mobile 64-bit products. We’ve seen this with our [Cortex] A53, a high-performance 64-bit mobile processor,” Lantzch told CNET.

He said ARM has been surprised by the pace of 64-bit adoption, with mobile parts coming from Qualcomm, MediaTek and Marvell. He said he hopes to see 64-bit phones by Christmas, although we suspect the first entry-level products will appear much sooner.

Lantzsch points out that even 32-bit code will run more efficiently on 64-bit ARMv8 parts. As software support improves, the performance gains will become more evident.

But where does this leave the Cortex A57? It is supposed to replace the Cortex A15, which had a few teething problems. Like the A15 it is a relatively big core. The A15 was simply too big and impractical on the 32nm node. On 28nm it’s better, but not perfect.  It is still a huge core and its market success has been limited.

As a result, it’s highly unlikely that we will see any 28nm Cortex A57 parts. Qualcomm’s upcoming Snapdragon 810 is the first consumer oriented A57 SoC. It is a 20nm design and it is coming later this year, just in time for Christmas as ARM puts it. However, although the Snapdragon 810 will be ready by the end of the year, the first phones based on the new chip are expected to ship in early 2015.

While we will be able to buy 64-bit Android (and possibly Windows Phone) devices before Christmas, most if not all of them will be based on the A53. That’s not necessarily a bad thing. Consumers won’t have to spend $500 to get a 64-bit ARM device, so the user base could start growing long before high-end parts start shipping, thus forcing developers and Google to speed up 64-bit development.

If rumors are to be believed, Google is doing just that and it is not shying away from small 64-bit cores. The search giant is reportedly developing a $100 Nexus phone for emerging markets. It is said to be based on MediaTek’s MT6732 clocked at 1.5GHz. Sounds interesting, provided the rumour turns out to be true.

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Can Qualcomm Move Forward?

May 14, 2014 by  
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Qualcomm has posted its smallest quarterly revenue increase since 2010, which saw its share price plummeting five percent in after hours trading.

Qualcomm reported its second quarter earnings on Wednesday for the three months to 30 March, and its revenue rose to $6.37bn during the period, up four percent from a year ago, with net profit up five percent to $1.97bn.

However, that was the smallest year over year percentage increase since the June quarter of 2010, when revenue declined by two percent, and was far lower than the quarterly growth rates of over 20 percent that Qualcomm investors have seen previously.

“We delivered another solid quarter, driven by demand for our leading multimode 3G/LTE chipset solutions and record licensing revenues,” said Qualcomm CEO Steve Mollenkopf in the earnings report, not mentioning that earnings reflected a much lower increase than seen in recent quarters.

“Looking forward, we are pleased to be raising our earnings per share guidance for the fiscal year. We continue to see increasing demand for our industry-leading chipsets and strong growth in calendar year 2014 of 3G/4G smartphones around the world.”

Qualcomm also forecast sales of between $6.2bn and $6.8bn for the April to June quarter, with the low end of that estimate representing a decline of one percent from a year ago.

It’s probable that while growing smartphone penetration in emerging markets is helping to keep the firm’s unit sales high, it’s also having an negative effect on Qualcomm’s average selling price (ASP) levels of mobile chipsets and devices.

Following Qualcomm’s earnings report, analysts said that the dip in revenue was attributable to a decline in sales in China as the country’s biggest network, China Mobile, prepares to launch a faster network with 4G, or LTE, technology, and customers are anticipating the launch before buying new smartphones.

Qualcomm now expects to make a profit of between $5 and $5.25 per share, five cents above its earlier projection, the firm said.

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Box Launches HTML 5 Tool

April 17, 2014 by  
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Box has updated developer usage plans and opened access to a document viewing tool as it looks to build momentum ahead of its IPO.

Box has made its HTML5 document viewing tool called Box View available for developers to incorporate into their companies’ products and services.

It was unveiled in beta mode last September at the firm’s annual Boxworks conference and is designed to help firms ensure that documents in any format can be viewed online. The tool is based on technology Box acquired in its acquisition of Crocodoc.

Box product manager Sean Rose explained in a blog post, “Box View is an API that converts Office and PDF documents to easily embeddable HTML5, enabling developers to create beautiful experiences around content. Gone are the days of forcing users to deal with broken and inconsistent experiences across platforms.

“With just a few simple API calls, developers can create an elegant and consistent content experience across all platforms.”

Box cited some customers that are already using this service, such as UberConference, Xero and Shake to ensure that they can send information to partners, customers and contractors quickly and easily.

Furthermore, the firm has based the pricing model for the tool on a per-use basis, rather than a traditional per-user basis.

For users of the service as a Box-branded platform – so it displays the Box logo, rather than the customer’s own logo – it’s free for 1,000 document uploads per month. After that it’s priced at 2.5 cents per document.

Custom use of the tool so the customer’s own logo is displayed costs $250 per month for 2,500 uploads. Each document after that costs five cents per upload, but enterprise users can thrash out a deal with Box for any service they expect to handle over 10,000 document uploads a month.

“Most developers will never have to pay anything for Box View, and, for those that do, Box View pricing is built to scale alongside your app’s user base,” added Rose.

As part of this encouragement to developers to incorporate Box into its tools the firm has also unveiled new pricing models around its APIs, to again focus on usage levels rather than user numbers.

Integrating with Box in general is free for developers, and up to 25,000 interactions with the Box Content API is free too. For 25,000 or more API interactions the cost is $500 per month. Any more than this and custom deals are available.

Box VP of Platform Chris Yeh explained that this move was designed “specifically for businesses that want to leverage the APIs at scale” to help keep pace with the growth the firm is seeing.

“More than 35,000 developers are building on Box. Every month, our platform sees one billion third-party API calls, and the Box OneCloud ecosystem just reached 1,000 app integration partners,” Yeh said.

The updates come at a busy time for Box after it filed to go public earlier this week in a listing worth $250m, as it looks to build on its early success in the enterprise market.

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nVidia Goes For Raspberry Pi

April 14, 2014 by  
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nVidia has unveiled what it claims is “the world’s first mobile supercomputer”, a development kit powered by a Tegra K1 chip.

Dubbed the Jetson TK1, the kit is built for embedded systems to aid the development of computers attempting to simulate human recognition of physical objects, such as robots and self-driving cars.

Speaking at the GPU Technology Conference (GTC) on Tuesday, Nvidia co-founder and CEO Jen Hsun Huang described it as “the world’s tiniest little supercomputer”, noting that it’s capable of running anything the Geforce GTX Titan Z graphics card can run, but at a slower pace.

With a total performance of 326 GFLOPS, the Jetson TK1 should be more powerful than the Raspberry Pi board, which delivers just 24 GFLOPS, but will retail for much more, costing $192 in the US – a number that matches the number of cores in the Tegra K1 processor that Nvidia launched at CES in Las Vegas in January.

Described by the company as a “super chip” that can bridge the gap between mobile computing and supercomputing, the Nvidia Tegra K1, which replaces the Tegra 4, is based on the firm’s Kepler GPU architecture.

The firm boasted at CES that the chip will be capable of bringing next-generation PC gaming to mobile devices, and Nvidia claimed that it will be able to match the PS4 and Xbox One consoles’ graphics performance.

Designed from the ground up for CUDA, which now has more than 100,000 developers, the Jetson TK1 Developer Kit includes the programming tools required by software developers to develop and deploy compute-intensive systems quickly, Nvidia claimed.

“The Jetson TK1 also comes with this new SDK called Vision Works. Stacked onto CUDA, it comes with a whole bunch of primitives whether it’s recognising corners or detecting edges, or it could be classifying objects. Parameters are loaded into this Vision Works primitives system and all of a sudden it recognises objects,” Huang said.

“On top of it, there’s simple pipe lines we’ve created for you in sample code so that it helps you get started on what a structure for motion algorithm, object detection, object tracking algorithms would look like and on top of that you could develop your own application.”

Nvidia also expects the Jetson TK1 to be able to operate in the sub-10 Watt market for applications that previously consumed 100 Watts or more.

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nVidia Outs CUDA 6

March 19, 2014 by  
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Nvidia has made the latest GPU programming language CUDA 6 Release Candidate available for developers to download for free.

The release arrives with several new features and improvements to make parallel programming “better, faster and easier” for developers creating next generation scientific, engineering, enterprise and other applications.

Nvidia has aggressively promoted its CUDA programming language as a way for developers to exploit the floating point performance of its GPUs. Available now, the CUDA 6 Release Candidate brings a major new update in unified memory access, which lets CUDA applications access CPU and GPU memory without the need to manually copy data from one to the other.

“This is a major time saver that simplifies the programming process, and makes it easier for programmers to add GPU acceleration in a wider range of applications,” Nvidia said in a blog post on Thursday.

There’s also the addition of “drop-in libraries”, which Nvidia said will accelerate applications by up to eight times.

“The new drop-in libraries can automatically accelerate your BLAS and FFTW calculations by simply replacing the existing CPU-only BLAS or FFTW library with the new, GPU-accelerated equivalent,” the chip designer added.

Multi-GPU Scaling has also been added to the CUDA 6 programming language, introducing re-designed BLAS and FFT GPU libraries that automatically scale performance across up to eight GPUs in a single node. Nvidia said this provides over nine teraflops of double-precision performance per node, supporting larger workloads of up to 512GB in size, more than it’s supported before.

“In addition to the new features, the CUDA 6 platform offers a full suite of programming tools, GPU-accelerated math libraries, documentation and programming guides,” Nvidia said.

The previous CUDA 5.5 Release Candidate was issued last June, and added support for ARM based processors.

Aside from ARM support, Nvidia also improved Hyper-Q support in CUDA 5.5, which allowed developers to use MPI workload prioritisation. The firm also touted improved performance analysis and improved performance for cross-compilation on x86 processors.

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Intel Outs New Xeon Chipset

March 4, 2014 by  
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Intel has released details about its new Xeon E7 v2 chipset. The Xeon processor E7 8800/4800/2800 v2 product family is designed to support up to 32-socket servers with configurations of up to 15 processing cores and up to 1.5 terabytes of memory per socket.

The chip is designed for the big data end of the Internet of Things movement, which the processor maker projected will grow to consist of at least 30 billion devices by 2020. Beyond two times better performance power, Intel is promising a few other upgrades with the next generation of this data-focused chipset, including triple the memory capacity, four times the I/O bandwidth and the potential to reduce total cost of ownership by up to 80 percent.

The 15-core variants with the largest thermal envelope (155W) run at 2.8GHz with 37.5MB of cache and 8 GT/s QuickPath connectivity. The lowest-power models in the list have 105W TDPs and run at 2.3GHz with 24MB of cache and 7.2 GT/s of QuickPath bandwidth. There was also talk of 40W, 1.4GHz models at ISSCC but they have not been announced yet.

Intel has signed on nearly two dozen hardware partners to support the platform, including Asus, Cisco, Dell, EMC, and Lenovo. On the software end, Microsoft, SAP, Teradata, Splunk, and Pivotal also already support the new Xeon family. IBM and Oracle are among the few that support Xeon E7 v2 on both sides of the spectrum.

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Samsung Joins OpenPower

February 24, 2014 by  
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Samsung has joined Google, Mellanox, Nvidia and other tech companies as part of IBM’s OpenPower Consortium. The OpenPower Consortium is working toward giving developers access to an expanded and open set of server technologies to improve data centre hardware using chip designs based on the IBM Power architecture.

Last summer, IBM announced the formation of the consortium, following its decision to license the Power architecture. The OpenPower Foundation, the actual entity behind the consortium, opened up the Power architecture technology, including specs, firmware and software under a license. Firmware is offered as open source. Originally, OpenPower was the brand of a range of System p servers from IBM that utilized the Power5 CPU. Samsung’s products currently utilize both x86 and ARM-based processors.

The intention of the consortium is to develop advanced servers, networking, storage and GPU-acceleration technology for new products. The four priority technical areas for development are system software, application software, open server development platform and hardware architecture. Along with its announcement of Samsung’s membership, the organization said that Gordon MacKean, Google’s engineering director of the platforms group, will now become chairman of the group. Nvidia has said it will use its graphics processors on Power-based hardware, and Tyan will be releasing a Power-based server, the first one outside IBM.

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Did Intel Kill Bay Trail?

February 21, 2014 by  
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Intel has decided that some of its budget Bay Trail parts have been out evolved and flung them into a tar pit. According to CPU World the parts first appeared in September. Intel released budget Bay Trail systems on a chip for mobile and desktop markets, under Celeron and Pentium brands.

They were manufactured on 22nm technology, and featured such enhancements as greater number of CPU cores, higher clock speeds, beefed up graphics unit, not to mention an out-of-order microarchitecture, that improved per-clock CPU performance by up to 30 per cent faster compared to their predecessors. With this performance goodness it is a little surprising the Intel has decided that all the all Bay Trail SoCs will be discontinued in a matter of a few months. Details of the planned discontinuation were published this week by Intel in several Product Change Notification documents.

The Desktop Pentium J2850, along with mobile Celeron N2810 and Pentium N3510 are already End of Lifed and its last orders will be in two weeks, on February 11. The chips will ship until April 25, 2014. Also retired are mobile Celeron N2806, N2815, N2820, N2920, and Pentium N3520. Their EOL date is April 11, 2014, and they will ship until May 30, 2014. On August 22, 2014, Intel is going to discontinue Celeron J1750, J1850, N2805 and N2910. The “J” models are desktop processors, and the “N” are mobile ones. There is no word on Z-series Bay Trail-T parts, none appear to be EOL’d at this  time.

Furthermore, on the same date Intel will retire Core i7-3940XM Extreme Edition, and boxed and tray versions of Core i7-3840QM and i7-3740QM CPUs. The last shipment date for the Celerons and Core i7s is February 6, 2015.

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nVidia Pays Up

January 10, 2014 by  
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Nvidia has agreed to pay any Canadian who had the misfortune to buy a certain laptop computer made by Apple, Compaq, Dell, HP, or Sony between November 2005 and February 2010. Apparently these models contained a dodgy graphics card which was not fixed for five years.

Under a settlement approved by the court Nvidia will pay $1,900,000 into a fund for anyone who might have bought a faulty card. The Settlement Agreement provides partial cash reimbursement of the purchase price and you have to submit a claim by February 25, 2014. You will know if your Nvidia card was faulty because your machine would have a distorted or scrambled video, or no video on the screen even when the computer is on. There would be random characters, lines or garbled images – a bit like watching one of the Twilight series. There will be intermittent video issues or a failure to detect wireless adaptor or wireless networks.

The amount of compensation will be determined by the Claims Administrator who will apply a compensation grid and settlement administration guidelines. Cash compensation will also be provided for total loss of use based on the age of the computer; temporary loss of use having regard to the nature and duration of the loss of use; and reimbursement for out-of-pocket expenses caused by Qualifying Symptoms to an Affected Computer.

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