Run Anywhere Big Data and HPC Workloads

By Tryggvi Lárusson, CTO & Co-founder, GreenQloud

February 9, 2015

A classical problem in software development is how you manage your software applications dependencies. This extends all the way from the time you program your application to the time you run or deploy it. The typical application is almost always dependent on specific versions of libraries, compilers or the OS level package management system.

Organizations deploying big data and HPC workloads are looking for solutions that can be designed and developed once, then deployed anywhere, on any scale, and on any technology available without any manual tweaking or installation steps.

To work with strictly regulated datasets mixed and spread across different implementations and environments (such as in the financial, government and healthcare sectors), applications need to be independent from the particular infrastructure and technologies of either public and private clouds, and able to utilize both.

Data processing workloads benefit from abundant and cheap public compute resources, but HPC projects more commonly need to navigate regulations that require operations to be isolated to local and private infrastructures.

If we’re to draw a picture of the geographical locations of the biggest cloud players on the market, we can recognize that the locations are quite few. This means that a big part of the cloud’s Internet traffic is going to and coming from a handful of locations, that are almost all concentrated in the western countries of the world.

The Internet of Things however has brought forward the rise of increasingly mobile, location-agnostic technologies, and is seeing rapid adoption in locations where their benefits can most prominently be realized: areas and countries that lack traditional, well-established infrastructure for ICT. In other words, non-western countries.

Most recently, cloud adoption has focused on public and private cloud deployment models, based on the now accepted mainstream forms of cloud computing. The next phase of this process however is the paradigm of the hybrid cloud, and the need to decentralize our applications to a greater extent than with the more centralized forms of public or private cloud deployments to which we are accustomed. This new paradigm of cloud will make it just as easy to provision or set up a cloud infrastructure as a regular white box Linux machine with the help of technologies building on containerization such as Docker and CoreOS.

This kind decentralized approach isn’t new. SETI (the ‘Search for Extraterrestrial Intelligence’ project) started amassing huge amounts of data sets in the 1980s, but lacked the resources and technology for processing it. In response, they developed an application during the 1990s that was freely downloadable for the public, and utilized the users’ private “infrastructure” (the unused computing power of desktop computers) as data processing nodes for the project.

Of course technology has come a long way since then.

CoreOS and Docker are perfect companions in implementing this kind of distributed and interoperable hybrid architecture. Hadoop is an example of a solution that can be well containerized into a system like this to facilitate deployment and automate installation. Containers are capable of reducing the overhead that makes traditional virtual machines an unsuitable solution for HPC. The simplified architecture of CoreOS and structure of Docker containers complete each other into well-tuned application delivery system, with an underlying distributed storage solutions, like Hadoop’s distributed file system, HDFS.

In addition to the core technologies of containerization, there are exciting projects that show great promise and align really well with distributed solutions. Kubernetes is capable of managing clusters of Linux containers as a single system, and Apache Mesos provides a distributed kernel in order to abstract compute resources to build fault-tolerant and elastic distributed systems.

With less overhead, access to bare metal provisioning, and a complete set of technologies to complement applications in a distributed, scalable environment, next-generation hybrid clouds will become a desired environment for HPC looking at resource efficiency as a crucial benefit.

Even though these projects are still really young, they show tremendous promise in being able to deliver this in a very simple and elegant manner. They’re able to run in both private and public cloud environments, and to scale into both to maximize performance and efficiency.

This trend is driving a consolidation of different kind of IT workloads, such as big data and HPC applications to a next generation distributed cloud architecture. Finally the end result that this technology can deliver is a vast, global, interconnected “cloud of clouds,” and the ability to seamlessly deploy applications capitalizing on containerization, globally.

Hailing from an open source world, and largely developed (and utilized) in research environments – not unlike the beginnings of the UNIX/Linux history – these new technologies enable a much more leveled playing field and open market. Easy access to standardized, commodity software components will make it just as easy to set up a cloud infrastructure as a regular white box Linux machine.

In addition, because of technologies that are both commodity and standardized across the industry, HPC and big data crunching applications will be able to be deployed with the click of a button or from a simple command in a wide variety of infrastructures ranging from virtual machines to bare metal, from private to public cloud deployments or specialized local clusters. HPC developers and businesses will be able to create containerized, packaged applications that can run on any scale – maximizing the efficiency of available resources.

About Tryggvi Lárusson, Co-Founder & Chief Technology Officer

Tryggvi is an expert in the architecture of enterprise web applications, specializing in storage and network systems for hardware and virtualized environments. At GreenQloud, he’s focused on enabling the convergence of cloud application development and systems operations. Prior to founding GreenQloud, Tryggvi was the Co-founder, Chief Technical Officer and Chairman of Idega Software, providing web solutions for eGovernment. He studied Software Engineering of Distributed Systems at the Royal Institute of Technology in Sweden, and Computer and Electrical Engineering at the University of Iceland.

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!

When in Rome: AMD Announces New Epyc CPU for HPC, Server and Cloud Wins

September 18, 2019

Where else but Rome could AMD hold the official Europe launch party for its second generation of Epyc microprocessors, codenamed Rome. Today, AMD did just that announcing key server wins, important cloud provider wins Read more…

By John Russell

Dell’s AMD-Powered Server Line Targets High-End Jobs

September 17, 2019

Dell Technologies rolled out five new servers this week based on AMD’s latest Epyc processor that are geared toward data-driven workloads running on increasingly popular multi-cloud platforms as well as in the HPC data Read more…

By George Leopold

Cerebras to Supply DOE with Wafer-Scale AI Supercomputing Technology

September 17, 2019

Cerebras Systems, which debuted its wafer-scale AI silicon at Hot Chips last month, has entered into a multi-year partnership with Argonne National Laboratory and Lawrence Livermore National Laboratory as part of a larger collaboration with the U.S. Department of Energy... Read more…

By Tiffany Trader

AWS Solution Channel

A Guide to Discovering the Best AWS Instances and Configurations for Your HPC Workload

The flexibility and heterogeneity of HPC cloud services provide a welcome contrast to the constraints of on-premises HPC. Every HPC configuration is potentially accessible to any given workload in a well-resourced cloud HPC deployment, with vast scalability to spin up as much compute as that workload demands in any given moment. Read more…

HPE Extreme Performance Solutions

Intel FPGAs: More Than Just an Accelerator Card

FPGA (Field Programmable Gate Array) acceleration cards are not new, as they’ve been commercially available since 1984. Typically, the emphasis around FPGAs has centered on the fact that they’re programmable accelerators, and that they can truly offer workload specific hardware acceleration solutions without requiring custom silicon. Read more…

IBM Accelerated Insights

Rumors of My Death Are Still Exaggerated: The Mainframe

[Connect with Spectrum users and learn new skills in the IBM Spectrum LSF User Community.]

As of 2017, 92 of the world’s top 100 banks used mainframes. Read more…

Better Scientific Software: Turn Your Passion into Cash

September 13, 2019

Do you know your way around scientific software and programming? You think you can contribute to the community by making scientific software better? If so, then the Better Scientific Software (BSSW) organization wants yo Read more…

By Dan Olds

When in Rome: AMD Announces New Epyc CPU for HPC, Server and Cloud Wins

September 18, 2019

Where else but Rome could AMD hold the official Europe launch party for its second generation of Epyc microprocessors, codenamed Rome. Today, AMD did just that Read more…

By John Russell

Cerebras to Supply DOE with Wafer-Scale AI Supercomputing Technology

September 17, 2019

Cerebras Systems, which debuted its wafer-scale AI silicon at Hot Chips last month, has entered into a multi-year partnership with Argonne National Laboratory and Lawrence Livermore National Laboratory as part of a larger collaboration with the U.S. Department of Energy... Read more…

By Tiffany Trader

IDAS: ‘Automagic’ HPC With Training Wheels

September 12, 2019

High-performance computing (HPC) for research is notorious for having steep barriers to entry. For this reason, high-tech disciplines were early adopters, have Read more…

By Elizabeth Leake

Univa Brings Cloud Automation to Slurm Users with Navops Launch 2.0

September 11, 2019

Univa, the company behind Grid Engine, announced today its HPC cloud-automation platform NavOps Launch will support the popular open-source workload scheduler Slurm. With the release of NavOps Launch 2.0, “Slurm users will have access to the same cloud automation capabilities... Read more…

By Tiffany Trader

When Dense Matrix Representations Beat Sparse

September 9, 2019

In our world filled with unintended consequences, it turns out that saving memory space to help deal with GPU limitations, knowing it introduces performance pen Read more…

By James Reinders

Eyes on the Prize: TACC’s Frontera Quickly Ramps up Science Agenda

September 9, 2019

Announced a year ago and officially launched a week ago, the Texas Advanced Computing Center’s Frontera – now the fastest academic supercomputer (~25 petefl Read more…

By John Russell

Quantum Roundup: IBM Goes to School, Delft Tackles Networking, Rigetti Updates

September 5, 2019

IBM today announced a new open source quantum ‘textbook’, a series of quantum education videos, and plans to expand its nascent quantum hackathon program. L Read more…

By John Russell

DARPA Looks to Propel Parallelism

September 4, 2019

As Moore’s law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat. Read more…

By George Leopold

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

DARPA Looks to Propel Parallelism

September 4, 2019

As Moore’s law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat. Read more…

By George Leopold

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its Read more…

By Tiffany Trader

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Top500 Purely Petaflops; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafl Read more…

By Tiffany Trader

A Behind-the-Scenes Look at the Hardware That Powered the Black Hole Image

June 24, 2019

Two months ago, the first-ever image of a black hole took the internet by storm. A team of scientists took years to produce and verify the striking image – an Read more…

By Oliver Peckham

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

Chinese Company Sugon Placed on US ‘Entity List’ After Strong Showing at International Supercomputing Conference

June 26, 2019

After more than a decade of advancing its supercomputing prowess, operating the world’s most powerful supercomputer from June 2013 to June 2018, China is keep Read more…

By Tiffany Trader

Qualcomm Invests in RISC-V Startup SiFive

June 7, 2019

Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…

By George Leopold

Intel Confirms Retreat on Omni-Path

August 1, 2019

Intel Corp.’s plans to make a big splash in the network fabric market for linking HPC and other workloads has apparently belly-flopped. The chipmaker confirmed to us the outlines of an earlier report by the website CRN that it has jettisoned plans for a second-generation version of its Omni-Path interconnect... Read more…

By Staff report

Intel Debuts Pohoiki Beach, Its 8M Neuron Neuromorphic Development System

July 17, 2019

Neuromorphic computing has received less fanfare of late than quantum computing whose mystery has captured public attention and which seems to have generated mo Read more…

By John Russell

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