Canada Explores New Frontiers in Astroinformatics

By Nicole Hemsoth

January 17, 2011

In nearly every research discipline, the number of scientific instruments available to add to the stream of data input has been climbing. While this has spurred any number of software developments in recent years, without adequate hardware processing capabilities to handle the delgue, there can be no match for the possibilities that lie in the incoming data.

Accordingly, a number of research institutions are findings new ways to handle the data deluge, both in terms of reinventing grid-based paradigms and looking to cloud computing models to extend already stretched computational resources.

Astronomy is one of several areas that is suffering from the glut of data brought about by more streamlined, complex, and numerous instruments and not surprisingly, researchers are looking to grid and cloud models to handle the well of data.

Researchers Nicholas Ball and David Schade discussed the concept of astroinformatics in detail, stating that, “in the past two decades, astronomy has gone from being starved for data to being flooded by it. This onslaught has now reached the stage where the exploitation of these data has become a named discipline in its own right…This naming follows in analogy from the already established fields of bio- and geoinformatics, which contain their own journals and funding.”

Canada’s astronomy community is, like other nations with advanced astronomy research programs, looking for ways to approach their big data problem in an innovative way that combines elements of both grid and cloud computing. Their efforts could reshape current views of astroinformatics processing and help the country move toward its goals of becoming a global center for advancements in astronomical research. 

The Canadian Advanced Network for Astronomical Research (CANFAR) is behind an ongoing project in conjunction with CANARIE (a national research network organization) to create a cloud-based platform to support astronomy research. The effort is being led by researchers at the University of Victoria in British Columbia in conjunction with the Canadian Astronomy Data Centre (CADC) and with participation from 11 other Canadian universities.

The goal of the project is to “leverage customized virtual compute and storage clouds, providing astronomers with access to many datasets and resources previously constrained by their local hardware environment.”

The CANFAR platform will take advantage of CANARIE’s high-speed network and a number of open source and proprietary cloud and grid computing tools to allow the country’s astronomy researchers to better handle the vast datasets that are being generated by global observatories. It will also be propelled by the storage and compute capabilities from Compute Canada in addition to the expertise from the Herzberg Institute of Astrophysics and the National Research Council of Canada.

CANFAR is driven forward by a number of objectives to support its mission to create a “global machine” that will help researchers further their astronomy goals. The creators of the project stated, “All of the necessary components exist to support science but they don’t work well together in that mission. The type of service layer that is needed to support a high level of integration of these components for astronomy does not exist and needs to be invented, installed, and operated”

What CANFAR Can Do

The value proposition of CANFAR is that it will enable astronomers to process the data from astronomical surveys using a wide array of custom software packages and, of course, to widen the set of computational resources available for these purposes.

A report on the project described CANFAR as “an operational system for the delivery, processing, storage, analysis, and distribution of very large astronomical datasets” and as a project that pulls together a number of Canadian entities, including the Canadian National Research Network (CANARIE), Compute Canada’s extensive grid and storage capabilities, and the CADC data center to create a “unified storage and processing system.”

The report also describes the CANFAR project’s technical details, stating that it has “combined the best features of the grid and cloud processing models by providing a self-configuring virtual cluster deployed on multiple cloud clusters” that takes elements from grid-based services  as well as a number of cloud services, including “Condor, Nimbus or OpenNebula, Eucalyptus or Amazon EC2, Xen, VOSpace, UWS, SSO, CDP and GMS.”

The researchers behind the CANFAR project noted that when considering different virtualization options, they considered both Xen and KVM, but settled on Xen because of its wider popularity at the time and because it was the only one that facility operators had used on an experimental basis in the past.

On the scheduler front, there were complexities because the CANFAR virtual cluster needed a batch job processing system that would provide the functionality of a grid cluster, thus making both Grid Engine and Condor natural options. The team settled on Condor, however, because upon examination of the environment, they found that using Grid Engine would mean that they would have to modify the cluster configuration anytime a VM was added or removed.

The team selected Nimbus as the “glue between cloud clusters” which “examined the workload in the Condor queue and used resources from multiple cloud clusters to create a virtual cluster suitable for the current workload” and used the Nimbus toolkit as the primary cloud technology behind the cloud scheduler.

The team also developed support for openNebula, Eucalyptus and Ec2, but decided on Nimbus because it was open source and permitted the “cloud workload to be intermixed with conventional batch jobs unlike other systems. “ The research team behind CANFAR stated that they believed “that this flexibility makes the deployment more attractive to facility operators.”

With Linux as the operating system and an emphasis on interoperability and open source, CANFAR will be a proving ground for the use of these scheduling and cloud-based management tools on large datasets. In addition to other projects that make use of similar (although diverse in terms of packages used) interoperability and open source paradigms like NASA’s Nebula cloud, there will likely be a number of exciting proof of concept reports that will emerge over the course of the next year.

CANARIE’s vision for the project is that it will also “provide astronomers with novel and more immediate hands-on and interactive ways to process and share very large amounts of data emerging from space exploration.”

In addition to helping research better manage the incredible amounts of data filtering in from collection sites, the project’s goals are also tied to aiding collaboration opportunities among geographically dispersed scientists.

As the CANFAR team noted, “a schematic of contemporary astronomy research shows that the system is essentially a networked global array of infrastructure with scientists and telescopes as I/O devices.”

Slides describing some of the current research challenges and potential benefits as well as some of the context for the project can be found here.

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!

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

Answered Prayers for High Frequency Traders? Latency Cut to 20 Nanoseconds

January 23, 2017

“You can buy your way out of bandwidth problems. But latency is divine.”

This sentiment, from Intel Technical Computing Group CTO Mark Seager, seems as old as the Bible, a truth universally acknowledged. Read more…

By Doug Black

CMU’s Latest “Card Shark” – Libratus – is Beating the Poker Pros (Again)

January 20, 2017

It’s starting to look like Carnegie Mellon University has a gambling problem – can’t stay away from the poker table. Read more…

By John Russell

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

HPE Extreme Performance Solutions

Enhancing Patient Care with Next-Generation Sequencing

In the ever-evolving world of life sciences, speed, accuracy, and savings are more important than ever. Today’s scientists and healthcare professionals are leveraging high-performance computing (HPC) solutions to solve the world’s greatest health problems and accelerate the diagnoses and treatment of a variety of medical conditions. Read more…

Weekly Twitter Roundup (Jan. 19, 2017)

January 19, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

France’s CEA and Japan’s RIKEN to Partner on ARM and Exascale

January 19, 2017

France’s CEA and Japan’s RIKEN institute announced a multi-faceted five-year collaboration to advance HPC generally and prepare for exascale computing. Among the particulars are efforts to: build out the ARM ecosystem; work on code development and code sharing on the existing and future platforms; share expertise in specific application areas (material and seismic sciences for example); improve techniques for using numerical simulation with big data; and expand HPC workforce training. It seems to be a very full agenda. Read more…

By Nishi Katsuya and John Russell

ARM Waving: Attention, Deployments, and Development

January 18, 2017

It’s been a heady two weeks for the ARM HPC advocacy camp. At this week’s Mont-Blanc Project meeting held at the Barcelona Supercomputer Center, Cray announced plans to build an ARM-based supercomputer in the U.K. while Mont-Blanc selected Cavium’s ThunderX2 ARM chip for its third phase of development. Last week, France’s CEA and Japan’s Riken announced a deep collaboration aimed largely at fostering the ARM ecosystem. This activity follows a busy 2016 when SoftBank acquired ARM, OpenHPC announced ARM support, ARM released its SVE spec, Fujistu chose ARM for the post K machine, and ARM acquired HPC tool provider Allinea in December. Read more…

By John Russell

Women Coders from Russia, Italy, and Poland Top Study

January 17, 2017

According to a study posted on HackerRank today the best women coders as judged by performance on HackerRank challenges come from Russia, Italy, and Poland. 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

Answered Prayers for High Frequency Traders? Latency Cut to 20 Nanoseconds

January 23, 2017

“You can buy your way out of bandwidth problems. But latency is divine.”

This sentiment, from Intel Technical Computing Group CTO Mark Seager, seems as old as the Bible, a truth universally acknowledged. Read more…

By Doug Black

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

France’s CEA and Japan’s RIKEN to Partner on ARM and Exascale

January 19, 2017

France’s CEA and Japan’s RIKEN institute announced a multi-faceted five-year collaboration to advance HPC generally and prepare for exascale computing. Among the particulars are efforts to: build out the ARM ecosystem; work on code development and code sharing on the existing and future platforms; share expertise in specific application areas (material and seismic sciences for example); improve techniques for using numerical simulation with big data; and expand HPC workforce training. It seems to be a very full agenda. Read more…

By Nishi Katsuya and John Russell

ARM Waving: Attention, Deployments, and Development

January 18, 2017

It’s been a heady two weeks for the ARM HPC advocacy camp. At this week’s Mont-Blanc Project meeting held at the Barcelona Supercomputer Center, Cray announced plans to build an ARM-based supercomputer in the U.K. while Mont-Blanc selected Cavium’s ThunderX2 ARM chip for its third phase of development. Last week, France’s CEA and Japan’s Riken announced a deep collaboration aimed largely at fostering the ARM ecosystem. This activity follows a busy 2016 when SoftBank acquired ARM, OpenHPC announced ARM support, ARM released its SVE spec, Fujistu chose ARM for the post K machine, and ARM acquired HPC tool provider Allinea in December. Read more…

By John Russell

Spurred by Global Ambitions, Inspur in Joint HPC Deal with DDN

January 17, 2017

Inspur, the fast-growth cloud computing and server vendor from China that has several systems on the current Top500 list, and DDN, a leader in high-end storage, have announced a joint sales and marketing agreement to produce solutions based on DDN storage platforms integrated with servers, networking, software and services from Inspur. Read more…

By Doug Black

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

UberCloud Cites Progress in HPC Cloud Computing

January 10, 2017

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s the harvest of four years of UberCloud HPC Experiments. Read more…

By Wolfgang Gentzsch and Burak Yenier

AWS Beats Azure to K80 General Availability

September 30, 2016

Amazon Web Services has seeded its cloud with Nvidia Tesla K80 GPUs to meet the growing demand for accelerated computing across an increasingly-diverse range of workloads. The P2 instance family is a welcome addition for compute- and data-focused users who were growing frustrated with the performance limitations of Amazon's G2 instances, which are backed by three-year-old Nvidia GRID K520 graphics cards. Read more…

By Tiffany Trader

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

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Vectors: How the Old Became New Again in Supercomputing

September 26, 2016

Vector instructions, once a powerful performance innovation of supercomputing in the 1970s and 1980s became an obsolete technology in the 1990s. But like the mythical phoenix bird, vector instructions have arisen from the ashes. Here is the history of a technology that went from new to old then back to new. Read more…

By Lynd Stringer

Container App ‘Singularity’ Eases Scientific Computing

October 20, 2016

HPC container platform Singularity is just six months out from its 1.0 release but already is making inroads across the HPC research landscape. It's in use at Lawrence Berkeley National Laboratory (LBNL), where Singularity founder Gregory Kurtzer has worked in the High Performance Computing Services (HPCS) group for 16 years. Read more…

By Tiffany Trader

Dell EMC Engineers Strategy to Democratize HPC

September 29, 2016

The freshly minted Dell EMC division of Dell Technologies is on a mission to take HPC mainstream with a strategy that hinges on engineered solutions, beginning with a focus on three industry verticals: manufacturing, research and life sciences. "Unlike traditional HPC where everybody bought parts, assembled parts and ran the workloads and did iterative engineering, we want folks to focus on time to innovation and let us worry about the infrastructure," said Jim Ganthier, senior vice president, validated solutions organization at Dell EMC Converged Platforms Solution Division. Read more…

By Tiffany Trader

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

Leading Solution Providers

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

Beyond von Neumann, Neuromorphic Computing Steadily Advances

March 21, 2016

Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical. Read more…

By John Russell

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

The Exascale Computing Project Awards $39.8M to 22 Projects

September 7, 2016

The Department of Energy’s Exascale Computing Project (ECP) hit an important milestone today with the announcement of its first round of funding, moving the nation closer to its goal of reaching capable exascale computing by 2023. Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

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