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Primeur live 2017-11-14

Exascale

Mellanox deployment collaboration with Lenovo will power Canada's largest supercomputer centre with leading performance, scalability for High Performance Computing applications ...

Middleware

Scalable clusters make HPC R&D easy as Raspberry Pi ...

NVIDIA chosen by every major computer maker and every major Cloud ...

WekaIO announces native support for Mellanox InfiniBand and Ethernet intelligent interconnect solutions ...

Bright Computing announces new product to help get enterprise data scientists up and running quickly with Deep Learning ...

OpenMP Architecture Review Board releases Technical Report that addresses top user requests ...

Diagnosing supercomputer problems ...

Hardware

Oak Ridge National Laboratory acquires Atos Quantum Learning Machine to support US Department of Energy research ...

Cavium and partners to showcase ThunderX2 Arm-based server platforms and FastLinQ Ethernet adapters for High Performance Computing at SC17 ...

HPE helps businesses capitalize on High Performance Computing and Artificial Intelligence applications with new high-density compute and storage ...

SciNet relies on Excelero for high-performance, peta-scale storage at new supercomputing facility ...

CoolIT Systems announces liquid cooled Intel Buchanan Pass server ...

Applications

Supercomputing speeds up Deep Learning training ...

INCITE grants of 5.95 billion hours awarded to 55 computational research projects ...

The Cloud

Penguin Computing announces Intel Xeon Scalable processor availability for Penguin Computing On-Demand HPC Cloud ...

Company news

Nallatech showcases next generation FPGA accelerators at Supercomputing 2017 ...

Cray supercomputer to assist Samsung's research on Artificial Intelligence and Deep Learning ...

Lenovo accelerates Artificial Intelligence initiatives to solve humanity's greatest challenges ...

DDN strengthens its HPC storage leadership with new solutions and next generation monitoring tools ...

New Dell EMC solutions bring machine and deep learning to mainstream enterprises ...

Scalable clusters make HPC R&D easy as Raspberry Pi

The BitScope Pi Cluster Modules system creates an affordable, scalable, highly parallel testbed for high-performance-computing system-software developers. The system comprises five rack-mounted BitScope Pi Cluster Modules consisting of 3,000 cores using Raspberry Pi ARM processor boards, fully integrated with network switching infrastructure. Credit: Bitscope.13 Nov 2017 Los Alamos - A quest to help the systems software community work on very large supercomputers without having to actually test on them has spawned an affordable, scalable system using thousands of inexpensive Raspberry Pi nodes. It brings a powerful high-performance-computing testbed to system-software developers, researchers, and others who lack machine time on the world's fastest supercomputers.

"It's not like you can keep a petascale machine around for R&D work in scalable systems software", stated Gary Grider, leader of the High Performance Computing Division at Los Alamos National Laboratory, home of the Trinity supercomputer. "The Raspberry Pi modules let developers figure out how to write this software and get it to work reliably without having a dedicated testbed of the same size, which would cost a quarter billion dollars and use 25 megawatts of electricity."

Gary Grider conceived the new solution to provide the systems software community with an inexpensive testbed of similar scale to the largest supercomputers being deployed. Designed and built by BitScope and distributed by SICORP, the Pi Cluster Modules enable developers to build, scale and test software before launching it on Trinity, Crossroads, and other large systems. The modules have other potential applications from education to the internet of things.

The BitScope system consists of five rack-mounted Pi Cluster Modules, each with 150 four-core nodes of Raspberry Pi ARM processor boards. They are fully integrated with network switching infrastructure. With a total of 750 CPUs or 3,000 cores working together, the system gives developers exclusive time on an inexpensive but highly parallelized platform for test and validation of scalable systems software technologies.

"Having worked with Raspberry Pi for quite some time, I've long thought it the ideal candidate to build low-cost Cloud and cluster computing solutions for research and education", stated Bruce Tulloch, CEO of BitScope. "When SICORP approached us with Gary's plans, we jumped at the opportunity to prove the concept."

The Raspberry Pi is an inexpensive, credit-card sized computer that can be connected to a keyboard and TV to do just about anything a typical desktop computer can do. It was developed by the Raspberry Pi Foundation in the United Kingdom to help spread computing in education and in developing countries. The price for a basic model starts at about $25 and consumes only a handful of watts of power.

Beyond HPC system-software development, additional applications for the Pi Cluster Modules include better simulation of large-scale sensor networks, with flexible I/O to connect the actual sensor devices; HPC network topology research, to improve production performance; and the internet of things.

Looking around for a solution to the challenges facing HPC systems software developers, Gary Grider said, he "suddenly realized the Raspberry Pi was an inexpensive computer using 2 to 3 watts that you could use to build a several-thousand-node system large enough to provide a low-cost, low-power testbed to enable this R&D". Yet he could not find a suitable densely packaged Raspberry Pi system on the market.

"It was just people building clusters with Tinker Toys and Legos", stated Gary Grider, a widely respected innovator in the HPC world. So he turned to SICORP of Albuquerque, New Mexico, to collaborate on a solution. Then they jointly worked with BitScope of Australia to develop easily scaled rack-mounted units.
Source: Los Alamos National Laboratory

Back to Table of contents

Primeur live 2017-11-14

Exascale

Mellanox deployment collaboration with Lenovo will power Canada's largest supercomputer centre with leading performance, scalability for High Performance Computing applications ...

Middleware

Scalable clusters make HPC R&D easy as Raspberry Pi ...

NVIDIA chosen by every major computer maker and every major Cloud ...

WekaIO announces native support for Mellanox InfiniBand and Ethernet intelligent interconnect solutions ...

Bright Computing announces new product to help get enterprise data scientists up and running quickly with Deep Learning ...

OpenMP Architecture Review Board releases Technical Report that addresses top user requests ...

Diagnosing supercomputer problems ...

Hardware

Oak Ridge National Laboratory acquires Atos Quantum Learning Machine to support US Department of Energy research ...

Cavium and partners to showcase ThunderX2 Arm-based server platforms and FastLinQ Ethernet adapters for High Performance Computing at SC17 ...

HPE helps businesses capitalize on High Performance Computing and Artificial Intelligence applications with new high-density compute and storage ...

SciNet relies on Excelero for high-performance, peta-scale storage at new supercomputing facility ...

CoolIT Systems announces liquid cooled Intel Buchanan Pass server ...

Applications

Supercomputing speeds up Deep Learning training ...

INCITE grants of 5.95 billion hours awarded to 55 computational research projects ...

The Cloud

Penguin Computing announces Intel Xeon Scalable processor availability for Penguin Computing On-Demand HPC Cloud ...

Company news

Nallatech showcases next generation FPGA accelerators at Supercomputing 2017 ...

Cray supercomputer to assist Samsung's research on Artificial Intelligence and Deep Learning ...

Lenovo accelerates Artificial Intelligence initiatives to solve humanity's greatest challenges ...

DDN strengthens its HPC storage leadership with new solutions and next generation monitoring tools ...

New Dell EMC solutions bring machine and deep learning to mainstream enterprises ...