That's why leading companies employ high performance computing (HPC) to develop breakthrough products, shorten design cycles and lower costs. HPC aggregates the computing power of many processors – directed by specialized software to work in parallel – for completion of large calculations in a practical timeframe. HPC powers dynamic inventions and innovations in almost every enterprise – from drug discovery and medical devices, aerospace and transportation, to manufacturing and consumer goods.
As a world leader in high-end science and technology, Lawrence Livermore National Laboratory (LLNL) uses its advanced HPC assets to deliver critical, high-impact results for the nation’s security. A decade ahead of most private sector capabilities, our state-of-the-art computing and world-class brain trust regularly fuse science, software and computing into headline solutions. Working with LLNL, companies gain a partner uniquely equipped to provide end-to-end solutions and a strategic push forward. You get computational R&D experts on your side for modeling and simulation, virtual prototyping and testing, advanced manufacturing, data analysis and more.
Whether you are a large company looking to streamline its production process or a startup seeking to convert a product idea into a major technology, we can show you the way to outcompute and outcompete.
A growing consensus among companies worldwide points to HPC as an accelerator for technological innovation. HPC has moved from a tool retained by national security laboratories like LLNL to a vital resource for solving complex challenges and gaining, or maintaining, a competitive edge.
BENEFITS TO INDUSTRY INCLUDE:
A 3-year study by the International Data Corporation (IDC) investigated how HPC investments improve scientific innovation and economic success.
The results showed substantial returns for investments in HPC, along with huge gains in job creation, product improvement and research breakthrough.
The 2016 study examined the impact of HPC investment in the form of ROI, growth and jobs. The survey of companies showed, among other results, that HPC-driven solutions returned 673 times the revenue per dollar spent and 44 times the profit. The bottom line is that companies who invest in HPC see exceptional returns.
Medicine, energy, aviation and manufacturing are but a few fields where advanced HPC capabilities have offered giant leaps forward. The complexity, resolution and scale at which we’re able to conduct simulations have provided insight, understanding and solutions into seemingly intractable problems.
Machine learning has led to an unprecedented understanding of highly dimensional, unstructured data. Our expertise in statistics, analysis and visual-ization, coupled with the computational resources needed for large volume data processing provides a depth and clarity of insight previously unachieved.
Rapid and iterative examination of workflow and process design identifies failure points faster, leading to more thorough exploration of possible options. Our computing power and decades of expertise optimizing codes, processes and parameters ensures robust solutions for confident decision making.
Working with the HPCIC means no learning curve. Companies have access to the nation’s leading high performance computing resources at LLNL to accelerate their research and development, solve high-impact business problems and gain competitive advantages.
LLNL's HPC for Manufacturing program works with selected partner companies to solve challenges using HPC modeling, simulation and data analysis. Outcomes range from improved product quality to acceleration or elimination of product testing.
LLNL engineers work with external clients to apply validated multi-physics modeling to understand complex devices and physical processes. Recent examples range from direct printing of carbon composites to improving fuel efficiency.
LLNL researchers are using HPC to design architectures and algorithms for the next-generation electrical grid. The placement and integration of new wind farms is optimized through HPC simulation and modeling of atmospheric flows.
LLNL's GEOS HPC platform has enabled a growing focus to understand and improve the environmental footprint of subsurface energy activities, including geothermal, CO2 sequestration and unconventional oil and gas.
HPC modeling and simulations help LLNL researchers accelerate drug development and toxicity studies. Predictive computational biology allows for better understanding of cancer mechanisms and exploration of personalized medical and drug treatments.
LLNL researches and develops game-changing tools to enhance security in a highly interconnected world. Machine learning and cognitive systems contribute to a distributed approach for real-time situational awareness needed for the next generation of intelligence applications.
LLNL develops cutting-edge applications to predict the properties and accelerate the design of novel materials. Examples include material properties for more efficient energy storage technologies and designing new materials for high performance components.
Combining expert knowledge with data and modeling, LLNL gives decision makers the tools required to turn large, highly complex and multimodal data sets into information that can be used to make actionable decisions, deploy resources and make informed tradeoffs.
As a result of that push to expand capabilities, the HPC resources at LLNL and other national laboratories are more than a decade ahead of many private companies. It’s not only our supercomputers that offer better performance, but also the support systems, software, and expertise we develop in trying to fully utilize these computational resources.
THE LIVERMORE VALLEY OPEN CAMPUS
Many of the Laboratory’s accomplishments result from strategic partnerships with private industries and academic institutions. Realizing the value of these collaborations and seeking to broaden the reach of these partnerships, the Department of Energy authorized Lawrence Livermore and Sandia national laboratories to develop a collaboration space outside the two laboratories’ fenced perimeters.
In 2011, the Livermore Valley Open Campus (LVOC) was established with the opening of the HPCIC. The primary goal of the open campus is to act as an innovation hub for unclassified research and development activities. Having this resource is invaluable, as it allows the HPCIC to cultivate HPC-based collaboration and knowledge exchange in a business-friendly environment. Since its inception, the HPCIC has received over 44,000 visitors and hosted more than 4,700 events. Looking ahead, the LVOC is growing rapidly: there are plans to expand the HPCIC facilities and a new Additive Manufacturing lab is currently under construction.
Private industries may hesitate to adopt HPC systems because of the investment required. Supercomputers are not ‘plug-and-play’ devices. To fully exploit a machine’s capabilities, companies need the expertise to design codes that run efficiently on massively parallel systems. Due to the high-stakes nature of our mission, computational scientists at LLNL not only have extensive experience working with HPC systems, but we’ve developed a rigorous process for validating the accuracy of our models. Confidence in the validity of our simulations allows us to rely on the results while pushing the boundaries of the technology. By collaborating through the HPCIC, private sector businesses can leverage this knowledge, experience and computing resources to pursue new technologies and manufacturing capabilities.
The HPCIC fosters long-term strategic partnerships in research areas that will provide mutually beneficial value. Collaborative teams include experts from all types of organizations, whether a private company, academic institution, or research laboratory. Previous partnerships have included simulations for optimizing a “smart” electrical grid system, predicting the availability of renewable energy sources, examining laser–plasma interactions and discovering new drugs and treatment options to improve human health.
The engagement process begins with discussion between the HPCIC and potential partners to ensure projects match LLNL strengths and industry needs. Partnerships are then structured under a formal arrangement, such as a Cooperative Research and Development Agreement (CRADA) or DOE’s Strategic Partnership Projects (SPP). Team members then work together for the project’s duration, focusing their expertise toward finding innovative solutions to complex challenges. Work culminates in an actionable solution or evolves into a new project to explore potential outcomes or possibilities uncovered in the initial scope of work.
The Hartree Centre and the Lawrence Livermore National Laboratory (LLNL) are launching a new webinar series intended to spur collaboration with industry through discussions on computational science, high performance computing (HPC) and data science. Join us in watching these webinars: Hartree–Livermore joint webinar on Computational Science