Coke Reed & the Data Vortex: A Brief History

By Reed Devany

January 15, 2018

My grandfather, Coke Reed, often says that little to no mathematics actually happens within the confines of a mathematics department or faculty lounge. Many of the greatest discoveries and advancements in science are born in a musty coffee house or over a pint at a local pub. For him, the Data Vortex journey began at a Hardee’s hamburger joint in Auburn, Alabama.

In the 1970s, Coke had taken it upon himself to solve Problem #110 of the Scottish Book, a collection of unsolved mathematical conjectures. Forty years prior, future Manhattan Project scientist Stanislaw Ulam posited on fixed points of flows defined on n-dimensional Euclidean space. His conjecture had gone unproven and its attached prize, a bottle of wine, left unclaimed. Coke’s interest in the problem stemmed from his work on dynamical systems with John W. Neuberger and was driven by a desire to solve the last Scottish Book problem with a prize attached to it and whose author was still alive. While eating lunch alone in 1976 the solution to Problem #110 came to Coke – a moment of clarity at a most unexpected time. A novel way to understand particle movement in a system suddenly formalized. Coke submitted the solution to Ulam who awarded him and his coauthor, Krystyna Kuperberg, each a bottle of the promised prize wine. The solution was published in Fundamenta Mathematicae in 1981.

In the thirty years that followed, Coke worked at institutions that gave him access to Seymour Cray’s early machines and granted witness to a rapid rise in computing capabilities. This growing field offered him a new outlet to wet his intellectual appetite as he observed challenges in fine-grained computation. Existing systems were ill-suited to handle the more challenging problems in mathematics and science. He started to consider how the mathematical solution for particle movement in Problem #110 could be modified to describe data movement in a computer – a challenge which would consume him for many years. By the time Coke arrived at the University of Colorado Boulder in the early 1990s, he had adopted the study of such Eastern philosophies as Taoism. He embraced the importance of clearing one’s mind and finding wisdom in all things through a path of self-discovery. These beliefs were entrenched in his professional life as a mathematical thinker and educator. For instance, Coke’s calculus classes used Robert Pirsig’s Zen and the Art of Motorcycle Maintenance in place of traditional suggested texts. In the spirit of these teachings and of Albert Einstein who once prescribed “look deep into nature, and then you will understand everything better,” Coke went up to Rocky Mountain National Park one early Spring day in 1994. In the mountains, just as he saw the solution to Ulam’s problem over a hamburger and fries, the Data Vortex, a dynamical system of three-dimensional Euclidean space, came to him – a true mathematical discovery.

It is difficult to describe what occurs within the human brain prior to a moment of grand revelation. As my grandfather describes it, one second the mind is focused on something entirely unrelated, sometimes nothing at all, the next, a solution to some long-considered problem appears, rearing its head from filed away sub consciousness. History is presented in a way that makes us believe that these “eureka moments” mark the grand finale of discovery when in fact they are only the beginning. With the support of his family, Coke has authored over thirty patents and has assembled a team of incredibly bright and adventurous engineers and software experts that have made his concept of a scalable, fine-grained, low-latency, congestion free network system a technological reality. Over the past six years, our company, Data Vortex Technologies, has implemented the Data Vortex (www.datavortex.com/network) onto FPGA chips, delivering systems to government and university customers. Our initial users were brave and took bold steps to get their hands on this revolutionary technology, willing to face new challenges and leave the comfort zone of traditional HPC. Data Vortex systems have produced noticeable performance improvements on a wide array of problems and pave the way for advancements in new sciences.

As the industry continues to grow, the ability to differentiate between disciplines becomes more difficult. The areas of big scientific research, big data analysis, mathematics, and telecommunications swirl closer together and it is evident that significant changes are required. Younger generations of thinkers and designers no longer pigeonhole themselves within a single field or career. The Data Vortex network is built upon Coke’s philosophy of diverse, novel, and inquiry-based thought and is well poised to meet global challenges. As the world awaits the next great paradigm shift it is time we embrace the technologies and solutions with the capacity to make that happen.

About the Author: Reed Devany is the Communications Manager for Data Vortex Technologies and the third generation of his family to work for the company.

 

 

Figure 1: Coke Reed and the Solution to Problem #110
Figure 2: The Data Vortex Network
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!

Top Ten Ways AI Affects HPC in 2019

March 26, 2019

AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization plans for the future, AI workloads are on our minds — how Read more…

By James Reinders

GTC 2019: Chief Scientist Bill Dally Provides Glimpse into Nvidia Research Engine

March 22, 2019

Amid the frenzy of GTC this week – Nvidia’s annual conference showcasing all things GPU (and now AI) – William Dally, chief scientist and SVP of research, provided a brief but insightful portrait of Nvidia’s rese Read more…

By John Russell

ORNL Helps Identify Challenges of Extremely Heterogeneous Architectures

March 21, 2019

Exponential growth in classical computing over the last two decades has produced hardware and software that support lightning-fast processing speeds, but advancements are topping out as computing architectures reach thei Read more…

By Laurie Varma

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

powercloud_blog.jpgFor decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Insurance: Where’s the Risk?

Insurers are facing extreme competitive challenges in their core businesses. Property and Casualty (P&C) and Life and Health (L&H) firms alike are highly impacted by the ongoing globalization, increasing regulation, and digital transformation of their client bases. Read more…

Interview with 2019 Person to Watch Jim Keller

March 21, 2019

On the heels of Intel's reaffirmation that it will deliver the first U.S. exascale computer in 2021, which will feature the company's new Intel Xe architecture, we bring you our interview with our 2019 Person to Watch Jim Keller, head of the Silicon Engineering Group at Intel. Read more…

By HPCwire Editorial Team

Top Ten Ways AI Affects HPC in 2019

March 26, 2019

AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization Read more…

By James Reinders

GTC 2019: Chief Scientist Bill Dally Provides Glimpse into Nvidia Research Engine

March 22, 2019

Amid the frenzy of GTC this week – Nvidia’s annual conference showcasing all things GPU (and now AI) – William Dally, chief scientist and SVP of research, Read more…

By John Russell

At GTC: Nvidia Expands Scope of Its AI and Datacenter Ecosystem

March 19, 2019

In the high-stakes race to provide the AI life-cycle solution of choice, three of the biggest horses in the field are IBM, Intel and Nvidia. While the latter is only a fraction of the size of its two bigger rivals, and has been in business for only a fraction of the time, Nvidia continues to impress with an expanding array of new GPU-based hardware, software, robotics, partnerships and... Read more…

By Doug Black

Nvidia Debuts Clara AI Toolkit with Pre-Trained Models for Radiology Use

March 19, 2019

AI’s push into healthcare got a boost yesterday with Nvidia’s release of the Clara Deploy AI toolkit which includes 13 pre-trained models for use in radiolo Read more…

By John Russell

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

Oil and Gas Supercloud Clears Out Remaining Knights Landing Inventory: All 38,000 Wafers

March 13, 2019

The McCloud HPC service being built by Australia’s DownUnder GeoSolutions (DUG) outside Houston is set to become the largest oil and gas cloud in the world th Read more…

By Tiffany Trader

Quick Take: Trump’s 2020 Budget Spares DoE-funded HPC but Slams NSF and NIH

March 12, 2019

U.S. President Donald Trump’s 2020 budget request, released yesterday, proposes deep cuts in many science programs but seems to spare HPC funding by the Depar Read more…

By John Russell

Quantum Computing Will Never Work

November 27, 2018

Amid the gush of money and enthusiastic predictions being thrown at quantum computing comes a proposed cold shower in the form of an essay by physicist Mikhail Read more…

By John Russell

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

ClusterVision in Bankruptcy, Fate Uncertain

February 13, 2019

ClusterVision, European HPC specialists that have built and installed over 20 Top500-ranked systems in their nearly 17-year history, appear to be in the midst o Read more…

By Tiffany Trader

Intel Reportedly in $6B Bid for Mellanox

January 30, 2019

The latest rumors and reports around an acquisition of Mellanox focus on Intel, which has reportedly offered a $6 billion bid for the high performance interconn Read more…

By Doug Black

Looking for Light Reading? NSF-backed ‘Comic Books’ Tackle Quantum Computing

January 28, 2019

Still baffled by quantum computing? How about turning to comic books (graphic novels for the well-read among you) for some clarity and a little humor on QC. The Read more…

By John Russell

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Contract Signed for New Finnish Supercomputer

December 13, 2018

After the official contract signing yesterday, configuration details were made public for the new BullSequana system that the Finnish IT Center for Science (CSC Read more…

By Tiffany Trader

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC

February 5, 2019

ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…

By John Russell

IBM Quantum Update: Q System One Launch, New Collaborators, and QC Center Plans

January 10, 2019

IBM made three significant quantum computing announcements at CES this week. One was introduction of IBM Q System One; it’s really the integration of IBM’s Read more…

By John Russell

IBM Bets $2B Seeking 1000X AI Hardware Performance Boost

February 7, 2019

For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…

By Doug Black

The Deep500 – Researchers Tackle an HPC Benchmark for Deep Learning

January 7, 2019

How do you know if an HPC system, particularly a larger-scale system, is well-suited for deep learning workloads? Today, that’s not an easy question to answer Read more…

By John Russell

HPC Reflections and (Mostly Hopeful) Predictions

December 19, 2018

So much ‘spaghetti’ gets tossed on walls by the technology community (vendors and researchers) to see what sticks that it is often difficult to peer through Read more…

By John Russell

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Move Over Lustre & Spectrum Scale – Here Comes BeeGFS?

November 26, 2018

Is BeeGFS – the parallel file system with European roots – on a path to compete with Lustre and Spectrum Scale worldwide in HPC environments? Frank Herold Read more…

By John Russell

France to Deploy AI-Focused Supercomputer: Jean Zay

January 22, 2019

HPE announced today that it won the contract to build a supercomputer that will drive France’s AI and HPC efforts. The computer will be part of GENCI, the Fre Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This