RWF Consulting LLC
Advancing Business Processes Worldwide


RWF Consulting LLC is an Irvine, California, USA and previously a P.R. China based firm that focused on international advanced processes and support for industry and academia.

Latest focus utilizing Quantum Entanglement to expedite: 

cancer diagnosis

Current product in development is RWF LLC Quantum Entanglement Expander (Trademark) Patent Pending

The current focus of RWF Consulting LLC is supporting the healthcare industry by promoting state of the art applications. 

RWF Consulting LLC is a Microsoft Partner, see current articles identifying approach to solving the problem of cancer:

Utilizing Quantum Entanglement to expedite Cancer diagnosis:

How Microsoft computer scientists and researchers are working to ‘solve‘ cancer:


In addition to the approaches identified above and computing processing approaches identified below, the Artificial Intelligence tools are being developed providing life-saving capabilities identified in this paper: 

These breakthroughs support physical biopsies.   RWF Consulting LLC is working toward  applying the Artificial Intelligence tools to liquid biopsies to address tumors that are not accessible .  Stay tuned.... 

Advanced processing approaches to computing may be the breakthrough needed to implement timely and cost-effective cancer analytics.  Cancer does not wait for health care professional to diagnose a treatment using current digital processing methods. New methods are needed to support .


RWF Consulting LLC is pursuing the below four advanced processing approaches to encourage the real time diagnosis and treatment of cancer patients using liquid biopsy.



1)       Quantum Computing

Researchers Finally Proved Quantum Computers are More Powerful Than Classical Computers


2)       Multi-Core System-on-Chip Massively-Parallel Computing Platform


3)       Exascale Computing


The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security.






Cray in Azure is the cloud without compromise — and it’s OK to be selfish.

It’s really yours and you can finally say you have your very own dedicated (reserve instance) Cray supercomputer running your (big ole) workloads with the system performance and scalability only provided by Cray.

You’re not buying time or sharing resources. You won’t have tedious job wait times. It’s very simply your Cray in Azure.

This means:

What happens in the cloud stays in the cloud.


Datacenter? You don’t need no stinkin’ datacenter.


And yes, supercomputing can really be easy.


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News Release

Cray and Microsoft Bring Supercomputing to Microsoft Azure

Customers Can Run HPC, AI, and Advanced Analytics Workloads at Supercomputing Scale Avoiding Datacenter Constraints

SEATTLE and REDMOND, Wash., Oct. 23, 2017 (GLOBE NEWSWIRE) -- Global supercomputer leader Cray Inc. (Nasdaq:CRAY) today announced an exclusive strategic alliance with Microsoft Corp. (Nasdaq:MSFT) that gives enterprises the tools to enable a new era of discovery and insight, while broadening the availability of supercomputing to new markets and new customers. Under the partnership agreement, Microsoft and Cray will jointly engage with customers to offer dedicated Cray supercomputing systems in Microsoft Azure datacenters to enable customers to run AI, advanced analytics, and modeling and simulation workloads at unprecedented scale, seamlessly connected to the Azure cloud.

Cray’s tightly coupled system architecture and Aries interconnect addresses the exponential demand for compute capability, real-time insights, and scalable performance needed by enterprises today. With this new partnership, Cray and Microsoft have made it easier for cloud customers to harness the power of supercomputing and multiply their problem-solving potential. Cray and Microsoft will also bring these advantages to a new set of customers who were previously unable to purchase or maintain an on-premise Cray system.

The availability of Cray supercomputers in Azure empowers researchers, analysts, and scientists with the ability to train AI deep learning models in fields such as medical imaging and autonomous vehicles in a fraction of the time. Pharmaceutical and biotech scientists driving precision medicine discovery can now perform whole genome sequencing, shortening the time from computation to cure. Automotive and aerospace product engineers can now conduct crash simulation, computational fluid dynamic simulations, or build digital twins for rapid and precise product development and optimized maintenance. Geophysicists in energy companies can accelerate oil field analysis and reduce exploration risk through superior seismic imaging fidelity and faster reservoir characterization. All performed in days and minutes, not months and weeks.

“Our partnership with Microsoft will introduce Cray supercomputers to a whole new class of customers that need the most advanced computing resources to expand their problem-solving capabilities, but want this new capability available to them in the cloud,” said Peter Ungaro, president and CEO of Cray. “Dedicated Cray supercomputers in Azure not only give customers all of the breadth of features and services from the leader in enterprise cloud, but also the advantages of running a wide array of workloads on a true supercomputer, the ability to scale applications to unprecedented levels, and the performance and capabilities previously only found in the largest on-premise supercomputing centers. The Cray and Microsoft partnership is expanding the accessibility of Cray supercomputers and gives customers the cloud-based supercomputing capabilities they need to increase their competitive advantage.”

“Using the enterprise-proven power of Microsoft Azure, customers are running their most strategic workloads in our cloud,” said Jason Zander, corporate vice president, Microsoft Azure, Microsoft Corp. “By working with Cray to provide dedicated supercomputers in Azure, we are offering customers uncompromising performance and scalability that enables a host of new previously unimaginable scenarios in the public cloud. More importantly, we’re moving customers into a new era by empowering them to use HPC and AI to drive breakthrough advances in science, engineering and health.”

As part of the partnership agreement, the Cray® XC™  and Cray CS™ supercomputers with attached Cray ClusterStor storage systems will be available for customer-specific provisioning in select Microsoft Azure datacenters, directly connected to the Microsoft Azure network. The Cray systems easily integrate with Azure Virtual Machines, Azure Data Lake storage, the Microsoft AI platform, and Azure Machine Learning services. Customers can also leverage the Cray Urika®-XC analytics software suite and CycleCloud for hybrid HPC management.

For more information on the Microsoft and Cray partnership, please visit the Microsoft Azure blog, and the Cray in Azure page on the Cray website at

About Cray Inc.
Global supercomputing leader Cray Inc. (Nasdaq:CRAY) provides innovative systems and solutions enabling scientists and engineers in industry, academia and government to meet existing and future simulation and analytics challenges. Leveraging more than 40 years of experience in developing and servicing the world’s most advanced supercomputers, Cray offers a comprehensive portfolio of supercomputers and big data storage and analytics solutions delivering unrivaled performance, efficiency and scalability. Cray’s Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to meet the market’s continued demand for realized performance. Go to for more information.

About Microsoft
Microsoft (Nasdaq “MSFT” @microsoft) is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.

Safe Harbor Statement
This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934 and Section 27A of the Securities Act of 1933, including, but not limited to, statements related to Cray’s and Microsoft’s ability to successfully sell cloud-based supercomputing services utilizing Cray systems and Cray’s ability to make supercomputing systems available to customers in the Microsoft Azure environment. These statements involve current expectations, forecasts of future events and other statements that are not historical facts. Inaccurate assumptions and known and unknown risks and uncertainties can affect the accuracy of forward-looking statements and cause actual results to differ materially from those anticipated by these forward-looking statements. Factors that could affect actual future events or results include, but are not limited to, the risk that Cray and Microsoft are not able to successfully sell cloud-based supercomputing services utilizing Cray systems as expected or at all, the risk that Cray is not able to deliver supercomputing systems and make them available in the Microsoft Azure environment in the timeframes required by customers, the risk that the Cray systems provisioned for customers in the Microsoft Azure environment do not perform as expected and such other risks as identified in the Company’s quarterly report on Form 10-Q for the quarter ended June 30, 2017, and from time to time in other reports filed by Cray with the U.S. Securities and Exchange Commission. You should not rely unduly on these forward-looking statements, which apply only as of the date of this release. Cray undertakes no duty to publicly announce or report revisions to these statements as new information becomes available that may change the Company’s expectations.

Cray, and the stylized CRAY mark are registered trademarks of Cray Inc. in the United States and other countries, and XC and CS are trademarks of Cray Inc. Other product and service names mentioned herein are the trademarks of their respective owners.

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Analog Computing

 Back to analog computing: Columbia researchers merge analog and digital computing on a single chip

Digital computers have had a remarkable run, giving rise to the modern computing and communications age and perhaps leading to a new one of artificial intelligence and the Internet of things. But speed bumps are starting to appear. As digital chips get smaller and hotter, limits to increases in future speed and performance come into view, and researchers are looking for alternative computing methods. In any case, the discrete step-by-step methodology of digital computing was never a good fit for dynamic or continuous problems—modeling plasmas or running neural networks—or for robots and other systems that react in real time to real-world inputs. A better approach may be analog computing, which directly solves the ordinary differential equations at the heart of continuous problems. Essentially mothballed since the 1970s for being inaccurate and hard to program, analog computing is being updated by Columbia researchers; by merging analog and digital on a single chip, they gain the advantages of analog and bypass its problems.



RWF Consulting LLC is pursuing the above advanced processing approaches to encourage the real time diagnosis and treatment of cancer patients using liquid biopsy.


A comment from Ralph W. Farrington:

Having experimented with Analog Computing before it disappeared and before being trained on digital computing I am intrigued with Analog and or Analog Hybrid computing being applied to the cancer problem.


Machine Learning applied via Analog and Analog Hybrid computing may be the breakthrough needed to implement timely and cost effective cancer analytics.  Cancer does not wait for health care professional to diagnose a treatment using current digital processing methods that the author states “ some of the more difficult problems of this size require an immense amount of power or solution times that can stretch into days or even weeks.”  He further states “The analog processing on a computer of the type my colleagues and I have developed typically takes about a millisecond. The solution of differential equations that involve only one derivative typically requires less than 0.1 microjoules of energy on our computer.”   See the IEEE Spectrum February 2018 article below:

Link to Current Healthcare approach of RWF Consulting LLC 

The Blue Ribbon Panel report (17 October 2016) of the Cancer MoonshotSM's ambitious goal

The Blue Ribbon Panel report describes 10 transformative research recommendations for achieving the Cancer MoonshotSM's ambitious goal of making a decade's worth of progress in cancer prevention, diagnosis, and treatment in just 5 years.

Over View Video:

Recommendations of the Blue Ribbon Panel:

Full Blue Ribbon Panel 2016 Report:

Recommended readings:

1)      IEEE Computer Society:

IEEE Computer Society digest Computing Edge, March 2017 issue entitled Big Data and Analytics

2)      IEEE Engineering in Medicine and Biology Society (EMBS):

IEEE Pulse magazine January/February 2017 issue 45th Anniversary of the War on Cancer


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