CANARIE Invests in Software Projects

February 12, 2014

OTTAWA, Ontario, Feb. 12 — CANARIE, a vital component of Canada’s digital infrastructure supporting research, education and innovation, today announced a further $4M in investment to create nine software projects, selected from its Research Software Call for Proposals issued in June, 2013. These new software tools will enable researchers to access, process, manipulate, visualize, and share immense volumes of digital data and accelerate the progression of this data from collection to discovery and ultimately, to breakthroughs that enrich the lives of Canadians.

CANARIE has changed the paradigm for research software development by supporting two types of projects: New research platforms, called Network-enabled Platforms (NEPs), serve specific functions for research within a specific domain. These NEPs benefit from an existing toolkit of software services, called Research Platform Interfaces (RPIs), developed by other researchers in previous rounds of CANARIE funding. Developers of new NEPs may incorporate previously-created RPIs and add new ones to the suite, resulting in significant process and cost efficiencies through a powerful cycle of software development and reuse. CANARIE’s full suite of powerful RPIs is available at no cost to scientific research community at https://science.canarie.ca.

This current round of funding extends $27M in investments made during CANARIE’s 2007-2012 mandate, which supported 20 new research software platforms. Illustrating the powerful efficiencies of this collaborative model, the new projects will re-use 12 RPIs from the previous round of investments and contribute 21 new ones to this pool of resources. CANARIE is pleased to announce the following new projects, in disciplines ranging from astrophysics to genetics and disaster management:

  • HEP Data-Intensive Distributed Cloud Computing; led by Dr. Randall Sobie, Department of Physics and Astronomy, University of Victoria – A software platform that expands cloud computing functionality for the globally-distributed facilities supporting the ATLAS high energy physics (HEP) experiments at CERN’s Large Hadron Collider.
  • Web-Enabled Awareness Research Network (WARN); led by Mr. Benoît Pirenne, Ocean Networks Canada – A software platform that implements very fast detection of on-land and off-shore sensor data to provide key information about impending disasters such as earthquakes and tsunamis.
  • SKA Global Science Data Delivery Platform; led by Professor Russ Taylor, Department of Physics and Astronomy, University of Calgary – A software platform that evolves the collaborative global platform for the distribution, delivery and access to astronomical data from the Square Kilometre Array project.
  • M+M: Movement + Meaning Middleware; led by Dr. Thecla Schiphorst, School of Interactive Arts and Technology, Simon Fraser University – A novel software platform that represents and visualizes sensor- based human movement for use in entertainment, gaming and quality of life applications.- Software-as-a-Service for Big Data Analytics; led by Dr. Chris Pritchet, Department of Physics and Astronomy, University of Victoria – A software platform for a 7-country/14-institution collaboration to explore the universe and simulate the origin of stars. A second platform will support advanced image processing from the New Mexico Very Large Array of radio telescopes.
  • Research and Education Activities in Laboratory Mechatronics (REALM); led by Dr. Michael Bauer, Department of Computer Science, University of Western Ontario – A software platform that enables a wide array of researchers to observe, control, and collect data from remote experiments, including the use of remote access of robotic devices.
  • Genetics and Genomics Analysis Platform (GenAP); led by Dr. Guillaume Bourque, Department of Human Genetics, McGill University – A new software platform that facilitates the distribution and analysis of genetic and genomics data for the life science research community, including a web portal to facilitate data access, visualization, and analysis through distributed high performance computing (HPC) centres.
  • CBRAIN for High Performance Computing (CHPC); led by Dr. Alan Evans, Montreal Neurological Institute, McGill University – A service that leverages the previously-funded “Canadian Brain Research And Informatics Network” platform to provide the research community with web-based access to powerful supercomputers across Canada and around the world.
  • Map-updating Web Service Based on Landsat-8 Imagery for the National Hydrographic Network; led by Dr. Langis Gagnon, Centre de Recherche Informatique de Montréal (CRIM) – A new software service that processes satellite images for semi-automatic updating of lakes and large streams with Landsat-8 imagery.

“These new tools address a significant gap in software for scientific research. We’re proud to invest in the development of these software platforms that access and process the digital data produced from groundbreaking research taking place throughout Canada,” said Mark Wolff, CANARIE’s Chief Technology Officer. “Not only do many of these new services leverage the investments that CANARIE has made in previous rounds of its Research Software funding, but they also contribute new, world-class software tools that will continue to benefit the global scientific community.”

CANARIE’s Research Advisory Committee, made up of research leaders from across the country and across a range of research disciplines, provided CANARIE with valuable guidance and advice in the selection of the projects. An upcoming announcement will feature the list of successful NEP projects from CANARIE’s second call for proposals that took place in September, 2013.

About CANARIE

CANARIE designs and delivers digital infrastructure, and drives its adoption for Canada’s research, education and innovation communities. CANARIE keeps Canada at the forefront of digital research and innovation, fundamental to a vibrant digital economy.

CANARIE’s roots are in advanced networking, and CANARIE continues to evolve the national ultra-high-speed backbone network that enables data-intensive, leading-edge research and big science across Canada and around the world. One million researchers, scientists and students at over 1,100 Canadian institutions, including universities, colleges, research institutes, hospitals, and government laboratories have access to the CANARIE Network.

CANARIE also leads the development of research software tools that enable researchers to more quickly and easily access research data, tools, and peers. In support of Canada’s high-tech entrepreneurs, CANARIE offers cloud-computing services to help them accelerate product development and gain a competitive edge in the marketplace.

—–

Source: CANARIE

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!

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capabilities to the cloud. Terms of the acquisition were not Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system into space aboard the SpaceX Dragon Spacecraft to explore if Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based system on the STREAM benchmark and on a test case running ANS Read more…

By John Russell

HPE Extreme Performance Solutions

Accelerating Genomics Research with a New Breakthrough Architecture

The field of genomics is revolutionizing our understanding of human biology, rapidly accelerating the discovery and treatment of genetic diseases, and dramatically improving human health. Read more…

Livermore Computing, Reddit Asked Them Anything

August 10, 2017

In case you missed it, the staff of Livermore Computing (LC) at the Lawrence Livermore National Laboratory (LLNL) recently fielded some questions from the internet, part of Reddit's Science Ask Me Anything (AMA) series. Read more…

By Tiffany Trader

Microsoft Bolsters Azure With Cloud HPC Deal

August 15, 2017

Microsoft has acquired cloud computing software vendor Cycle Computing in a move designed to bring orchestration tools along with high-end computing access capa Read more…

By George Leopold

HPE Ships Supercomputer to Space Station, Final Destination Mars

August 14, 2017

With a manned mission to Mars on the horizon, the demand for space-based supercomputing is at hand. Today HPE and NASA sent the first off-the-shelf HPC system i Read more…

By Tiffany Trader

AMD EPYC Video Takes Aim at Intel’s Broadwell

August 14, 2017

Let the benchmarking begin. Last week, AMD posted a YouTube video in which one of its EPYC-based systems outperformed a ‘comparable’ Intel Broadwell-based s Read more…

By John Russell

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

By John Russell

IBM Raises the Bar for Distributed Deep Learning

August 8, 2017

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scal Read more…

By Tiffany Trader

IBM Storage Breakthrough Paves Way for 330TB Tape Cartridges

August 3, 2017

IBM announced yesterday a new record for magnetic tape storage that it says will keep tape storage density on a Moore's law-like path far into the next decade. Read more…

By Tiffany Trader

AMD Stuffs a Petaflops of Machine Intelligence into 20-Node Rack

August 1, 2017

With its Radeon “Vega” Instinct datacenter GPUs and EPYC “Naples” server chips entering the market this summer, AMD has positioned itself for a two-head Read more…

By Tiffany Trader

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Leading Solution Providers

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

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