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Android Apps for the Intel Platform Learning Series : Introduction to Embedded Systems
Android Apps for the Intel Platform Learning Series : Intel Embedded Systems
In my… Read more
Imagine a fast and powerful 1 terabyte solid-state drive (SSD) that fits on your fingertip.
That’s enough storage capacity to hold more than 200,000 songs or more than 150 hours of high definition video! The day is coming when your tablet will have enough room to hold every song you can imagine, plus all your photos, videos and more. And it’s coming sooner than you think.
At Intel’s Investor Day yesterday, Rob Crooke, Intel vice president and general manager of the Non-Volatile Memory Solutions Group (NSG), unveiled Intel’s plans to begin production of 3D NAND for use in consumer and data center SSDs starting in the second half of 2015.
3D NAND is a sensational technological advancement allowing SSDs to store more data in less space, increase overall drive capacity, reduce power consumption and improve system-level performance at a lower cost to users. Intel achieves this by packing more storage density onto the SSD. It’s like taking a plot of land and building a high-rise apartment building as opposed to a single-family home. To show off the new 3D NAND, Rob presented from a computer featuring a prototype SSD utilizing the new technology.
Intel capitalized on its decades-long history of microchip manufacturing innovation to overcome the challenge of drilling 4 billion holes in a silicon chip. This means Intel is able to deliver unprecedented density at 256 Gbits per die, meaning we can deliver higher capacities at a lower cost. This enables us to continue to deliver on the promise of Moore’s Law by doubling storage capacity and enabling our CPUs to really show off their unique capabilities and tremendous performance. The potential 3D NAND brings to Intel SSDs is truly inspiring.
In data center applications having more storage closer to the CPU enables fast transactions, quick access to real-time data and short wait times for content. Intel’s 3D NAND delivers stunning performance and is very cost effective. Just one 4-inch server rack of Intel SSDs can deliver 11 million IOPS (input/output operations per second). For comparison, you would need a rack of hard disk drives measuring 500 feet tall to churn out the same performance. Beyond the savings in the cost of the drives, imagine the immense savings in power and cooling!
For consumers it means more storage where you need it: tablets and notebooks for photos, music and games; home theaters for hours of HD content delivered with almost no lag; and in vehicle infotainment systems to store maps, music and more. These benefits are just the tip of the iceberg.
Intel will continue its fruitful and long-term relationship with Micron and jointly held IM Flash Technologies (IMFT) to produce the new multi-level cell (MLC) flash chips with products available in the second half of 2015. For more information on Intel SSDs and non-volatile memory, visit http://www.intel.com/ssd.
Read more of Frank’s SSD related posts
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Our increasingly mobile lifestyles force us to rely heavily on our device’s batteries. We’re constantly seeking to get a little extra juice out of our laptops, phones, and tablets. Tablets, in particular, have become a prominent platform for both the home and office, and we rely on them to feature better battery life than many of our other devices. While some tablets boast 12+ hours of battery life, it’s important to understand that these devices are much more than just a battery — the rest of the device’s hardware specifications may have even more to do with battery life than the actual battery does.
For example, it’s a common misconception that so-called “power-efficient” processors may drain batteries slower, therefore giving you a device that can put in a full day of work. In many cases the opposite is true. Full-powered processors that perform computations quickly and efficiently can actually have less impact on a device’s battery by completing tasks and returning the device to a resting state faster.
Battery life is also dependent on many factors beyond processing speed. While primarily a concern for laptops and 2-in-1 devices, connected peripherals like external hard drives and speakers may leach battery life from your device, lowering the probability that you’ll make it through the day without a charge. Other factors that determine your device’s battery life include your operating system, number of running programs, and whether or not you’re running an animated wallpaper.
Operating System & Battery Life
Some operating systems are optimized to work in conjunction with your device’s processor to optimize battery life. Google and Microsoft coordinate with chip makers in order to ensure tablet processors are designed with a specific mobile operating system in mind. Additionally, your operating system may have power-saving features that allow you to control display brightness and other settings to decrease power consumption.
Wallpapers & Background Processes
Some of the biggest battery killers hide behind the scenes. While animated wallpapers can be a fun way to personalize your device, enabling them on your tablet can drain your battery faster than you want. The animations represent a persistent task that your processor has to run, which lowers power efficiency.
In addition to your wallpaper, the number of apps running in the background can significantly affect your battery life. To keep them in check, consider quitting any applications not in immediate use in order to give your processor and battery a rest.
These are only a few factors that determine your device’s battery life. To learn more, read the blog Breaking Down Battery Life. You can also get a comprehensive look at how your device distributes power, by checking out this white paper on evaluating battery life.
Frustration with electronic health record (EHR) systems notwithstanding, the data aggregation processes that have grown out of healthcare’s adoption of the electronic health record are now spawning analytical capabilities that were unthinkable just 15 years ago. By leveraging big data to track everything from patient recovery rates to hospital finances, healthcare organizations are capturing and storing data sets that are changing the way doctors, caregivers and payers tackle larger scale health issues.
It’s not just happening on the clinical side, either, where EHRs are extending real-time patient information to doctors and predictive analytics are helping physicians to better track and understand their patients’ medical conditions.
In Kentucky, for example, tech investments by the state’s largest provider systems are estimated at over $600 million, a number that doesn’t even reflect investments from two of the biggest local organizations, Baptist Health and University of Kentucky HealthCare. The data collected by these hospitals includes—and far exceeds—the EMR basics mandated under ARRA, according to an article in The Lane Report.
While the goal of improving quality of care is, of course, a key driver of such investments, so is the government mandate tying Medicare and Medicaid reimbursement to outcomes. According to a recent report from McKinsey & Company, more than 50 percent of doctors’ offices and almost 75 percent of hospitals nationwide are managing patient information electronically. So, it’s not surprising that big data is catching the attention of healthcare’s management teams.
By quantifying and analyzing an endless variety of metrics—including things like R&D, claims, costs, and insights gleaned from patients—the industry is refining its approach to both preventative care and treatment, and saving money in the process. A good example can be found in the analysis of data surrounding regression rates, which some hospitals are now using to stave off premature releases and, by extension, exorbitant penalties.
Others, such as Brigham and Women’s Hospital, already are applying algorithms to generate savings beyond readmissions, in areas that include: high-cost patients, triage, decompensation, adverse events, and treatment optimization.
While there’s room to debate the extent to which big data is improving patient outcomes—or the scope of savings attributable to big data initiatives given the associated system costs—the trend toward leveraging data for better outcomes and savings will only continue to grow as CIOs advance meaningful implementations of solutions, and major technology companies continue to expand the industry’s basket of options.
How is your healthcare organization applying big data to overcome challenges? Have the results proven worthwhile?
As a B2B journalist, John Farrell has covered healthcare IT since 1997 and is a sponsored correspondent for Intel Health & Life Sciences.
Read John’s other blog posts
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The post Intel Statement on President’s Executive Order on Immigration appeared first on Policy@Intel.
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SAP TechEd 2014 at Las Vegas was an exciting and enjoyable show, brimming with opportunities to learn about the latest innovations and advances in the SAP ecosystem. Intel had its own highlights, as I explain in this video overview of Intel’s key activities. These included the walk-on appearance of Shannon Poulin, vice president of Intel’s Data Center Group, during SAP President Steve Lucas’s executive keynote. Shannon did his best to upstage the shiny blue Ford Mustang that Steve gave away during the keynote, but that was a hard act to top. Curt Aubley, Intel Data Center Group’s vice president and CTO, took part in an executive summit with Nico Groh, SAP’s data center intelligence project owner, that addressed ongoing Intel and SAP engineering efforts to optimize SAP HANA* power and performance management on Intel® architecture.
I was at the conference filming man-on-the-street interviews with some of Intel’s visiting executives. I had a great conversation with Pauline Nist, general manager of Intel’s Enterprise Software Strategy, on the subject of Cloud: Public, Private, and Hybrid for the Enterprise, and the future of the in-memory data center. I also spoke to Curt Aubley about How Intel is Influencing the Ecosystem Data Center and how sensors and telemetry can provide real-time diagnostics on the health of your data center.
In the Intel booth, we also had the fun of launching our latest animation, Intel and SAP: The Perfect Team for Your Real-Time Business, a light-hearted look at the rich, long-standing alliance between SAP and Intel. In the video, the joint SAP HANA and Intel® Xeon® processor platform has the power of a space rocket—a bit of an exaggeration, perhaps. But SAP HANA is a mighty powerful in-memory database, designed from the ground up for Intel Xeon processors. Dozens of Intel engineers were involved in the development of SAP HANA, working directly with SAP to optimize SAP HANA for Intel architectures.
It’s not too late to catch some of the action from our booth! We filmed a number of our Intel Tech Talks, so click on these links to watch industry experts discussing the latest news and advances in the overlapping orbits of SAP and Intel.
Follow me at @TimIntel and search #TechTim to get the latest on analytics and data center news and trends.
Let’s talk about Fellow travelers at SC14 – companies that Intel is committed to collaborating with in the HPC community. In addition to the end-user demos in the corporate booth, Intel took the opportunity to highlight a few more companies in the channel booth and on the Fellow Traveler tour.
Intel is hosting three different Fellow Traveler tours on Discovery, Innovation, and Vision. A tour guide leads a small group of SC14 attendees through the show floor to visit eight company booths (with a few call outs to additional Fellow Travelers along the way). Yes, you wear an audio headset to hear your tour guide. And yes, you follow a flag around the show floor. On our 30 minute journey around the floor, my Discovery tour visited (official stops are bolded):
Intel Booth – Fellow Traveler Tours depart from the front right counter
After turning in my headset, I decided to check out the Intel Channel Pavilion next to Intel’s corporate booth. The Channel Pavilion has multiple kiosks (so many that they switched halfway through the show), each showcasing a demo with Intel Xeon and/or Xeon Phi processors, and highlighting a number of products and technologies. Here’s a quick rundown:
The Intel Channel Pavilion
Once completing the booth tours, I decided to head back to the Intel Parallel Computing Theater to listen to a few more presentations on how companies and organizations are putting these systems into action.
Joseph Lombardo, from the National Supercomputing Center for Energy and the Environment stopped by the theater to talk about the new data center they’ve recently put into action, as well as their use of a data center from Switch Communications. The NSCEE has a couple of challenges – massive computing needs (storage and compute power); time sensitive projects (those with governmental and environmental significance) and numerous and complex workloads. In their Alzheimer’s research, the NSCEE compares the genomes of Alzheimer’s patients with those of normal genomes. They worked with Altair and Intel on a system that reduces their runtime from 8 hours to 3 hours, while improving system manageability and extensibility.
Joseph Lombardo from the NSCEE
Then I listed in to Michael Klemm from Intel talking about offloading Python to the Intel Xeon Phi coprocessor. Python is a quick and high productivity language (packages include: iPython, Numpy/SciPy, and Pandas) that can help compose scientific applications. Michael talked through design principles for the pyMIC offload infrastructure: Simple usage, slim API, fast code and keep control in a programmer’s hand.
Michael Klemm from Intel
Wolfgang Gentzsch from UberCloud covered HPC for the Masses via cloud computing. Currently more than 90% of an engineer or scientist’s in-house HPC is completed via workstations and 5% via servers. Less than 1% is completed using HPC Clouds, which offers a ripe opportunity if challenges like security/privacy/trust, control of data (where and how is your data running), software licensing, and the transfer of heavy data can be resolved. There are some hefty benefits – pay per use, easily scaling resources up or down, low risk with a specific cloud provider – that may start to entice more users shortly. UberCloud has 19 providers and 50 products currently in their marketplace.
Wolfgang Gentzsch from UberCloud
The Large Hadron Collider is probably tops on my list of places to see before I die, so I was excited to see Niko Neufeld from LHCb CERN talk about their data acquisition/storage challenge. I know, yet another big data problem. But the LHC generates one petabyte of data EVERY DAY. Nikko talked through how they’re able to use some sophisticated filtering (via ASICS and FPGA) to get that down to storing 30PB a year, but that’s still an enormous challenge. The team at CERN is interested in looking at the Intel OmniPath Architecture to help them move data faster, and then integrating Intel Xeon + FPGA with Intel Xeon and Intel Xeon Phi processors to help them shave off the amount of data stored even more.
Niko Neufeld from LHCb CERN
And finally, the PUCC held matches 4 and 5 today, the last of the initial matches and the first of the playoffs. In the last regular match, Taji took on the Examen and, in a stunning last-second “make” run, the Examen took it by a score of 4763 to 2900. In the afternoon match, the Brilliant Dummies took on the Gaussian Elimination Squad (defending champs). It was a hard fought battle – for many of the questions both teams had answered before the multiple choice possibilities were shown to the audience. In the end, the Brilliant Dummies were able to eliminate the defending champions by a score of 5082 to 2082. Congratulations to the Brilliant Dummies, we’ll see you in the final on Thursday.
We’ll see the Brilliant Dummies in the PUCC finals on Thursday
Thursday, November 20, 2014
Dateline: New Orleans, LA, USA
This morning at 11:00AM (Central time, New Orleans, LA), the second semi-final match of the 2014 Parallel Universe Computing Challenge will take place at the Intel Parallel Theater (Booth 1315) as the Coding Illini team from NCSA and UIUC, faces off against the EXAMEN from Europe. Coding Illini earned its spot in is semi-final match by beating the team from Latin America (SC3), and the EXAMEN earned their semi-final slot by beating team Taiji from China.
The winner of this morning’s semi-final match will go on to play the Brilliant Dummies from Korea in the final competition match this afternoon at 1:30PM, live on stage from Intel’s Parallel Universe Theater.
The teams are playing for the grand prize of $26,000 to be donated to a charitable organization of their choice.
Don’t miss the excitement:
Packed crowd watching the PUCC
Clinicians are on the front lines when it comes to using healthcare technology. To get a doctor’s perspective on health IT, we caught up with Dr. Sandhya Pruthi, medical director for patient experience, breast diagnostic clinic, at Mayo Clinic Rochester, for her thoughts on telemedicine and the work she has been undertaking with remote patients in Alaska.
Pruthi: I have a very personal interest in virtual care. I have been providing telemedicine care to women in Anchorage, Alaska, right here from my telemedicine clinic in Rochester, Minnesota. I have referrals from providers in Anchorage who ask me to meet their patients using virtual telemedicine. We call it our virtual breast clinic, and we’ve been offering the service twice a month for the past three years.
Pruthi: We know that in some remote parts of the country, it’s hard to get access to experts. What I’ve been able to provide remotely is medical counseling for women who are considered high risk for breast cancer. I remotely counsel them on breast cancer prevention and answer questions about genetic testing for breast cancer when there is a very strong family history. The beauty is that I get to see them and they get to see me, rather than just writing out a note to their provider and saying, “Here’s what I would recommend that the patient do.”
Pruthi: We did a survey and asked patients about their experience and whether they felt that they received the care they were expecting when they came to a virtual clinic. The result was 100 percent satisfaction by the patients. We also surveyed the providers and asked if their needs were met through the referral process. The results were that providers said they were very pleased and would recommend the service again to their patients.
Pruthi: The next level that I would love to see is the ability to go to the remote villages in the state of Alaska, where people have an even harder time coming to a medical center. I’d also like to be able to have a pre-visit with patients who may need to come in for treatment so we can better coordinate their care before they arrive.
Pruthi: Thinking about how we can improve the patient experience. I really feel that for a patient who is dealing with an illness, the medical experience should wow them. It should be worthwhile to the patient and it should follow them on their entire journey—when they make their appointment, when they meet with their physician, when they have tests done in the lab, when they undergo procedures. Every step plays a role in how they feel when they go home. That’s what we call patient-centered care.
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Apparently there’s a whole world that exists beyond the SC14 showcase floor…the technical sessions. Intel staffers have been presenting papers (on Lattice Quantum Chromodynamics and Recycled Error Bits), participating in panels (HPC Productivity or Performance) and delivering workshops (covering OpenMP and OpenCL) over the past few days, with a plethora still to come.
To get a flavor for the sessions, I sat in on the ACM Gordon Bell finalist presentation: Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. It’s one of five papers in the running for the Gordon Bell award and was presented at the conference by Michael Bader from TUM. The team included scientists from TUM, LMU Munich, Leibniz Supercomputing Center, TACC, National University of Defense Technology, and Intel. Their paper details optimization of the seismic software SeisSol via Intel Xeon Phi coprocessor platforms, achieving impressive earthquake model complexity of the propagation of seismic waves. The hope is that we can use optimized software and supercomputing to understand the wave movement of earthquakes, eventually anticipating real-world consequences to help adequately prepare for and minimize after effects. The Gordon Bell prize will be announced on Thursday, so good luck to the team!
Michael Bader from TUM
From there I headed back to the Intel booth to see how the demos are helping to solve additional real-world problems. First up was the GEOS-5/University of Tennessee team, which deployed a workstation with two Intel Xeon processors E5 v3 and two Intel Xeon Phi coprocessors to run the VisIT app for visual compute analysis and rendering. GEOS-5 simulates climate variability on a wide range of time scales, from near-term to multi-century, helping scientists comprehend atmospheric transport patterns that affect climate change. A real climate model (on a workstation!) which could be used to predict something like the spread and concentration of radiation around the world.
Predicting Climate Change with GEOS-5
Next up, the Ayasdi demo on precision medicine – a data analytics platform running on the Intel Xeon processor E5 V3 and a cluster with Intel True Scale Fabric that is looking for similarities in data, rather than using specific queries as searches. The demo shows how the shape of data can be employed to find unknown insights in large and complex data sets, something like “usually three hours after this type of surgery there is a fluctuation in vitals across patients.” The goal is to combine new mathematical approaches (TDA) with big data to identify biomarkers, drug targets, and potential adverse effects to support more successful patient treatment.
Ayasdi Precision Medicine Demo
Since I’m usually on a plane every couple of weeks, I was excited to talk to the Onera team on how they’re using the elsA simulation software to streamline aerospace engineering. The simulation capabilities of elsA enable reductions in ground-based and in-flight testing requirements. The Onera team optimized elsA to run in a highly scalable environment of an Intel Xeon and Xeon Phi processor based cluster with Intel True Scale fabric and SSDs, allowing for large scale modeling of elsA.
Aerospace Design Demo from Onera
Up last, I headed over to the team at the Texas Advanced Computing Center to talk about their demo combining ray tracing (OSPRay) and computing power (Intel Xeon processor E5 v3) to run computational fluid dynamics simulations and assemble flow data from every pore in the rock in Florida’s Biscayne Bay. Understanding how the aquifer transports water and contaminants is critical to providing safe resources, but eventually the researchers hope to move the flow simulation to the human brain.
TACC Demo in Action
One of the areas in the Intel booth I’d yet to visit was the Community Hub, an area to socialize and collaborate on ideas that can help drive discoveries faster. Inside the Hub, Intel and various third parties are on-hand to collaborate and discuss technology directions, best known methods, future use cases, etc. of a wide variety of technologies and topics. Hopefully attendees will create, improve or expand their social network with respect to peers engaged in similar optimization and algorithm development.
One of the community discussions with the highest interest on Tuesday was led by Debra Goldfarb, the Senior Director of Strategy and Pathfinding Technical Computing at Intel. The Hub was packed for a session on encouraging Women in Science and Technology – the stats are pretty dismal and Intel is committed to changing that. The group brainstormed reasons for the gap and how we can begin to address it. A couple of resources for those interested in the topic: www.intel.com/girlsintech and www.womeninhpc.org.uk. Intel also attended in the “Women in HPC: Mentorship and Leadership” BOF and will participate in “Woman in HPC” panel on Friday.
Above and below: Women in Science and Technology Community Hub discussion lead by Debra Goldfarb
Women in HPC BOF
Community Hub discussions coming up on Wednesday include Fortran & Vectorization, OpenMP, MKL, Data Intensive HPC, Life Sciences and HPC, and HPC and the Oil and Gas industry.
At the other end of the booth, the Intel Parallel Universe Theater was hopping all day. I checked out a presentation from Eldon Walker of the Lerner Research Institute at the Cleveland Clinic who discussed their 1.2 petabyte mirrored storage system (DC and server room) and their 270 terabytes of Lustre storage which enables DNA sequence analysis, finite element analysis, natural language processing, image processing and computational fluid dynamics. Dr. Eng Lim Goh from SGI presented the company’s energy efficient supercomputers, innovative cooling systems, and SGI MineSet for machine learning. And Tim Cutts from Wellcome Sanger Trust made it through some audio and visual issues to present his topic on working with genomics and the Lustre file system and how they solved a couple of tricky issues (denial of service issue via samtools and performance issues with concurrent file access).
Eldon Walker, Lerner Research Institute
Dr. Eng Lim Goh, SGI
Tim Cutts, Wellcome Trust Sanger
And lastly, for those following along with the Intel Parallel Universe Computing Challenge – in match two, The Brilliant Dummies from Korea defeated the Linear Scalers from Argonne by a score of 5790 to 3588. And in match three, SC3 (Latin America) fell to the Coding Illini (NCSA and UIUC) with a score of 2359 to 5359, which means both the Brilliant Dummies and Coding Illini move on in the Challenge. Match 4 and 5 will be up on Wednesday. See you in booth 1315!
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