Final Obama Budget Lauds Innovation, Unlocks NSCI Funding

By Tiffany Trader

February 10, 2016

On Tuesday, President Obama released his fiscal year 2017 budget, the final budget of his administration. Broadly focused on America’s economic prosperity and national security goals, the $4.1 trillion spending plan for fiscal year 2017 emphasizes a great number of grand challenges that require robust investments in research and development (R&D); innovation; and STEM education.

The science, technology, innovation, and STEM education components of the President’s FY 2017 Budget are laid out in a fact sheet and budget briefing presentation put together by the Office of Science and Technology Policy (OSTP) in partnership with the Office of Management and Budget (OMB). Per those documents, the administration is seeking $152 billion for R&D overall, a $6 billion or 4 percent increase from 2016 enacted levels. The R&D allocation provides $72.8 billion for basic and applied research (the “R” in R&D), a $4 billion or 6 percent increase from 2016 enacted levels, and $76.7 billion for development, a $2.2 billion or 3 percent increase. $4 billion of the overall $152 billion investment in R&D is new mandatory funding.

A further breakdown showing defense and non defense sums is shown in the slide below, taken from a presentation authored by John P. Holdren, assistant to the President for Science and Technology, director, White House Office of Science & Technology Policy.

R&D in the President's 2017 Budget slide 1000x

 

The mandatory funding element is there to offset sequestration deficits, which, according to the authors of the budget, are “hindering the ability to make needed investments that are critical to building durable economic growth in the future and maintaining America’s edge as the leader in innovation and cutting-edge science.” While mandatory funding is intended to close this gap in support of job growth and economic health, concerns are emerging over the risk of flat or declining budgets if Congress fails to approve the strategy. As reported in Science, Jennifer Zeitzer, director of legislative relations for the Federation of American Societies for Experimental Biology, calls it “a pretty big gamble.”

Here is a snapshot of how the $152.3 billion was allocated:

• $7.96 billion for the National Science Foundation (NSF) — an increase of 6.7 percent over FY 2016.
• $5.67 billion for the Department of Energy (DOE) Office of Science — an increase of 6.1 percent over FY 2016.
• $826 million for the National Institute of Standards and Technology (NIST) laboratories.
• $19.0 billion for NASA.
• $33.1 billion for NIH.
• $700 million for USDA’s Agriculture and Food Research Initiative.
• $1.2 billion for the U.S. Geological Survey.
• $6.0 billion for NOAA.

For HPC-watchers, who have no doubt been following the progression of the National Strategic Computing Initiative (NSCI) since it was announced by executive order on July 29, 2015, there are finally some funding numbers to report. The new budget invests $285 million (on the DOE side) and another $33 million (for the NSF ledger) to support the exascale-focused effort. The DOE contributions to NSCI include the Exascale Computing Initiative (ECI) and the Exascale Computing Project (ECP).

The OSTP summary of R&D investments highlights the importance of “accelerating innovation for industries of the future.” Specific technologies and industries cited include robotics, cyber-physical systems, big data, the Materials Genome Initiative, the National Nanotechnology Initiative, and engineering biology. Space research is another big priority, and R&D spending plans include $1.2 billion for the Commercial Crew program, $827 million for Space Technology, and $324 million for Advanced Exploration Systems “to increase the capabilities of NASA, other government, and commercial space activities.” The budget also sets out $318 million for civilian R&D in support of innovative cybersecurity technologies.

Throughout the full 182-page budget, the administration makes numerous references highlighting the pressing need for R&D investment to facilitate innovation in transportation, healthcare, security and the environment. Climate change, in particular, was signaled out as an issue of utmost priority.

“The challenge of climate change will define the contours of this century more dramatically than any other. Last year was the hottest on record, surpassing the record set just a year before,” states the President. “Climate change is already causing damage, including longer, more severe droughts and dangerous floods, disruptions to our food and water supply, and threats to our health, our economy, and our security.”

Health-focused innovation is another major element of this year’s budget with significant investment allocated to life sciences, biology, and neuroscience efforts. These include the following:

• The National Cancer Moonshot begins this year with $195 million in new NIH cancer activities. The 2017 Budget proposes $755 million for new cancer-related research activities in NIH and FDA.
• The 2017 Budget provides $309 million for the Precision Medicine Initiative with funding from HHS agencies.
• The BRAIN Initiative will continue with a Federal commitment of $195 million from NIH, and a total Federal investment of nearly $450 million.
• $700 million for U.S. Department of Agriculture competitively-awarded extramural research grants in the Agriculture and Food Research Initiative.

Very much related to all of these ambitious research programs, the budget emphasizes the role that STEM (science, technology, engineering, and math) skills play as an engine for innovation and a path to job security. With $4 billion in funding for states and $100 million directly for districts, the Computer Science for All initiative is a three-year effort to increase access to K-12 computer science and other rigorous STEM coursework. The program calls for the training for 250,000 teachers, provides for infrastructure upgrades, and includes an online component. NSF and the Corporation for National and Community Service are starting the effort this year. Federal STEM education programs were allocated $3 billion, maintaining the 2016 enacted funding level.

“The budget that we’re releasing today reflects my priorities and the priorities that I believe will help advance security and prosperity in America for many years to come,” President Obama told reporters at the White House. “It drives down the deficit. It includes smart savings on healthcare, immigration, tax reform, and it strengthens our national security by increasing defense spending and advancing our national leadership through diplomacy and through development.”

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!

TACC Helps ROSIE Bioscience Gateway Expand its Impact

April 26, 2017

Biomolecule structure prediction has long been challenging not least because the relevant software and workflows often require high-end HPC systems that many bioscience researchers lack easy access to. Read more…

By John Russell

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

IBM, Nvidia, Stone Ridge Claim Gas & Oil Simulation Record

April 25, 2017

IBM, Nvidia, and Stone Ridge Technology today reported setting the performance record for a “billion cell” oil and gas reservoir simulation. Read more…

By John Russell

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Remote Visualization Optimizing Life Sciences Operations and Care Delivery

As patients continually demand a better quality of care and increasingly complex workloads challenge healthcare organizations to innovate, investing in the right technologies is key to ensuring growth and success. Read more…

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

Musk’s Latest Startup Eyes Brain-Computer Links

April 21, 2017

Elon Musk, the auto and space entrepreneur and severe critic of artificial intelligence, is forming a new venture that reportedly will seek to develop an interface between the human brain and computers. Read more…

By George Leopold

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Hyperion (IDC) Paints a Bullish Picture of HPC Future

April 20, 2017

Hyperion Research – formerly IDC’s HPC group – yesterday painted a fascinating and complicated portrait of the HPC community’s health and prospects at the HPC User Forum held in Albuquerque, NM. HPC sales are up and growing ($22 billion, all HPC segments, 2016). Read more…

By John Russell

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" processors. The infrastructure is based on the 68-core Intel Knights Landing processor with integrated Omni-Path fabric (the 7250F Xeon Phi). Read more…

By Tiffany Trader

CERN openlab Explores New CPU/FPGA Processing Solutions

April 14, 2017

Through a CERN openlab project known as the ‘High-Throughput Computing Collaboration,’ researchers are investigating the use of various Intel technologies in data filtering and data acquisition systems. Read more…

By Linda Barney

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of “quantum supremacy,” researchers are stretching the limits of today’s most advanced supercomputers. Read more…

By Tiffany Trader

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference phase of neural networks (NN). Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

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

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

Leading Solution Providers

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

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

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

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. 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

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

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

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

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