Indiana University to Deploy Petascale Cluster

October 9, 2012

INDIANAPOLIS, Oct. 9 – Indiana University has announced that it would replace its Big Red supercomputer with the fastest university-owned supercomputer in the nation. Named Big Red II, the new system will be capable of operating at a peak rate of one petaFLOPS, or one thousand trillion floating-point operations per second — 25 times faster than the original Big Red first acquired in 2006.

The university plans to install the massive new system in its state-of-the-art data center on the Bloomington campus in spring 2013.

There is hardly an area of research these days that does not use the enormous computational power and ability to process huge amounts of data. In the life sciences it is used in areas as diverse as brain modeling, computational genomics, molecular modeling, drug design, bioinformatics and pandemic modeling, while in the physical sciences and engineering they are used to probe the fundamental limits of the universe — from the very small, such as in the search for the Higgs boson and beyond, and at the largest scale, as in understanding the creation of the universe, dark matter and dark energy.

They are used to design planes and cars, and to model climate change, and their effect also is being felt in the social sciences and the humanities. IU researchers use supercomputers in nearly all these fields.

“IU’s new Cray supercomputer will ensure we stay at the forefront of the use of high-speed and data-intensive computation in some of the most vital and complex research in the world, and the decision to acquire the fastest
university-owned supercomputer is the latest evidence of how important the highest speed computation is to our researchers and scientists,” IU President Michael A. McRobbie said. “It has enabled them to obtain extensive funding for their research that they would not otherwise have been able to get and has enabled them to continue to stay at the leading edge of their disciplines.

“Big Red II will accelerate discovery and allow new research by hundreds of IU scientists and scholars right across the university including in medicine, biology, physics, chemistry, astronomy, network science, sustainability science, global climate research, public health and, of course, informatics and computer science. It will also play a major role in the recruitment of new faculty in these and other areas who will make use of Big Red II and its huge data processing capabilities.”

“We are excited and honored that Indiana University has selected a Cray supercomputer to become the next Big Red system,” said Peter Ungaro, president and CEO of Cray Inc. “The university is widely known as a leader in the academic circles of high-performance computing, and we look forward to collaborating with IU and providing their researchers, scientists and students with the unique performance and capability found only in a Cray.”

“Having been involved in the evolution of IU’s advanced computing environment for more than a decade, I have seen first-hand how advanced computing has become increasingly critical to medical research and innovation, and watched as IU’s computational resources have been deployed in ways that are more and more valuable to IU medical research,” said Dr. D. Craig Brater, university vice president and dean of the IU School of Medicine. “Big Red II will be a critical and strategic aid to accelerating new medical breakthroughs and enabling research that will improve human health.”

The original Big Red, which was the fastest university-owned machine of its kind when it was installed in 2006, is now considered old by supercomputer standards. In fact, when it is retired in early 2013, it will have outlasted the typical operating lifespan for a supercomputer by more than two years.

“Big Red II is the next step in executing IU’s strategic IT plans in support of the university,” said Brad Wheeler, IU vice president for information technology and CIO. “In just over a decade, the investment in the Pervasive Technologies Institute by the Lilly Endowment, the School of Informatics and IU’s investments in supercomputing have made the state far more competitive for research funding. Using the original Big Red, IU researchers have secured more than $253 million in grant funding, and we foresee a similar positive impact being made by Big Red II. Through the I-Light network, these supercomputers are available to all faculty and students on all IU campuses.”

Big Red II will have more than 21,000 computer processor cores, compared to Big Red, which has about 4,100. Big Red II will use IU’s disk storage system from Data Direct Networks, which uses the high-performance Lustre file system. IU, Cray and Data Direct Networks will also work together specifically to expand and enhance Big Red II’s capacity for the movement, management and analysis of massive data sets.

Since joining IU’s advanced computing lineup, Big Red has run more than 3 million computing jobs, using more than 125 million hours of computer processor time. Its speed has enabled research in medicine, biology, bioinformatics, chemistry, astronomy, physics, geography, climate studies, informatics, network science, sociology and public health.

Source: Indiana University

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!

GigaIO Gets $14.7M in Series B Funding to Expand Its Composable Fabric Technology to Customers

September 16, 2021

Just before the COVID-19 pandemic began in March 2020, GigaIO introduced its Universal Composable Fabric technology, which allows enterprises to bring together any HPC and AI resources and integrate them with networking, Read more…

What’s New in HPC Research: Solar Power, ExaWorks, Optane & More

September 16, 2021

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

Cerebras Brings Its Wafer-Scale Engine AI System to the Cloud

September 16, 2021

Five months ago, when Cerebras Systems debuted its second-generation wafer-scale silicon system (CS-2), co-founder and CEO Andrew Feldman hinted of the company’s coming cloud plans, and now those plans have come to fruition. Today, Cerebras and Cirrascale Cloud Services are launching... Read more…

AI Hardware Summit: Panel on Memory Looks Forward

September 15, 2021

What will system memory look like in five years? Good question. While Monday's panel, Designing AI Super-Chips at the Speed of Memory, at the AI Hardware Summit, tackled several topics, the panelists also took a brief glimpse into the future. Unlike compute, storage and networking, which... Read more…

ECMWF Opens Bologna Datacenter in Preparation for Atos Supercomputer

September 14, 2021

In January 2020, the European Centre for Medium-Range Weather Forecasts (ECMWF) – a juggernaut in the weather forecasting scene – signed a four-year, $89-million contract with European tech firm Atos to quintuple its supercomputing capacity. With the deal approaching the two-year mark, ECMWF... Read more…

AWS Solution Channel

Supporting Climate Model Simulations to Accelerate Climate Science

The Amazon Sustainability Data Initiative (ASDI), AWS is donating cloud resources, technical support, and access to scalable infrastructure and fast networking providing high performance computing (HPC) solutions to support simulations of near-term climate using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 2 (CESM2) and its Whole Atmosphere Community Climate Model (WACCM). Read more…

Quantum Computer Market Headed to $830M in 2024

September 13, 2021

What is one to make of the quantum computing market? Energized (lots of funding) but still chaotic and advancing in unpredictable ways (e.g. competing qubit technologies), the quantum computing landscape is transforming Read more…

Cerebras Brings Its Wafer-Scale Engine AI System to the Cloud

September 16, 2021

Five months ago, when Cerebras Systems debuted its second-generation wafer-scale silicon system (CS-2), co-founder and CEO Andrew Feldman hinted of the company’s coming cloud plans, and now those plans have come to fruition. Today, Cerebras and Cirrascale Cloud Services are launching... Read more…

AI Hardware Summit: Panel on Memory Looks Forward

September 15, 2021

What will system memory look like in five years? Good question. While Monday's panel, Designing AI Super-Chips at the Speed of Memory, at the AI Hardware Summit, tackled several topics, the panelists also took a brief glimpse into the future. Unlike compute, storage and networking, which... Read more…

ECMWF Opens Bologna Datacenter in Preparation for Atos Supercomputer

September 14, 2021

In January 2020, the European Centre for Medium-Range Weather Forecasts (ECMWF) – a juggernaut in the weather forecasting scene – signed a four-year, $89-million contract with European tech firm Atos to quintuple its supercomputing capacity. With the deal approaching the two-year mark, ECMWF... Read more…

Quantum Computer Market Headed to $830M in 2024

September 13, 2021

What is one to make of the quantum computing market? Energized (lots of funding) but still chaotic and advancing in unpredictable ways (e.g. competing qubit tec Read more…

Amazon, NCAR, SilverLining Team for Unprecedented Cloud Climate Simulations

September 10, 2021

Earth’s climate is, to put it mildly, not in a good place. In the wake of a damning report from the Intergovernmental Panel on Climate Change (IPCC), scientis Read more…

After Roadblocks and Renewals, EuroHPC Targets a Bigger, Quantum Future

September 9, 2021

The EuroHPC Joint Undertaking (JU) was formalized in 2018, beginning a new era of European supercomputing that began to bear fruit this year with the launch of several of the first EuroHPC systems. The undertaking, however, has not been without its speed bumps, and the Union faces an uphill... Read more…

How Argonne Is Preparing for Exascale in 2022

September 8, 2021

Additional details came to light on Argonne National Laboratory’s preparation for the 2022 Aurora exascale-class supercomputer, during the HPC User Forum, held virtually this week on account of pandemic. Exascale Computing Project director Doug Kothe reviewed some of the 'early exascale hardware' at Argonne, Oak Ridge and NERSC (Perlmutter), while Ti Leggett, Deputy Project Director & Deputy Director... Read more…

IBM Introduces its First Power10-based Server, the Power E1080; Targets Hybrid Cloud

September 8, 2021

IBM today introduced the Power E1080 server, its first system powered by a Power10 IBM microprocessor. The new system reinforces IBM’s emphasis on hybrid cloud markets and the new chip beefs up its inference capabilities. IBM – like other CPU makers – is hoping to make inferencing a core capability... Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer called Dojo to process truly vast amounts of video data. It’s a beast! … A truly useful exaflop at de facto FP32.” Read more…

Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer

May 27, 2021

A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…

Google Launches TPU v4 AI Chips

May 20, 2021

Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more…

Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip

August 27, 2021

Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…

Enter Dojo: Tesla Reveals Design for Modular Supercomputer & D1 Chip

August 20, 2021

Two months ago, Tesla revealed a massive GPU cluster that it said was “roughly the number five supercomputer in the world,” and which was just a precursor to Tesla’s real supercomputing moonshot: the long-rumored, little-detailed Dojo system. “We’ve been scaling our neural network training compute dramatically over the last few years,” said Milan Kovac, Tesla’s director of autopilot engineering. Read more…

CentOS Replacement Rocky Linux Is Now in GA and Under Independent Control

June 21, 2021

The Rocky Enterprise Software Foundation (RESF) is announcing the general availability of Rocky Linux, release 8.4, designed as a drop-in replacement for the soon-to-be discontinued CentOS. The GA release is launching six-and-a-half months after Red Hat deprecated its support for the widely popular, free CentOS server operating system. The Rocky Linux development effort... Read more…

Intel Completes LLVM Adoption; Will End Updates to Classic C/C++ Compilers in Future

August 10, 2021

Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more…

Iran Gains HPC Capabilities with Launch of ‘Simorgh’ Supercomputer

May 18, 2021

Iran is said to be developing domestic supercomputing technology to advance the processing of scientific, economic, political and military data, and to strengthen the nation’s position in the age of AI and big data. On Sunday, Iran unveiled the Simorgh supercomputer, which will deliver.... Read more…

Leading Solution Providers

Contributors

AMD-Xilinx Deal Gains UK, EU Approvals — China’s Decision Still Pending

July 1, 2021

AMD’s planned acquisition of FPGA maker Xilinx is now in the hands of Chinese regulators after needed antitrust approvals for the $35 billion deal were receiv Read more…

Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel

August 25, 2021

The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

HPE Wins $2B GreenLake HPC-as-a-Service Deal with NSA

September 1, 2021

In the heated, oft-contentious, government IT space, HPE has won a massive $2 billion contract to provide HPC and AI services to the United States’ National Security Agency (NSA). Following on the heels of the now-canceled $10 billion JEDI contract (reissued as JWCC) and a $10 billion... Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008

July 14, 2021

After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire