Fujitsu Releases EXAMAG LLG Simulator V1

December 10, 2013

TOKYO, Dec. 10 — Fujitsu today announced the immediate release in Japan of FUJITSU Manufacturing Industry Solution EXAMAG LLG Simulator V1, the world’s first commercial magnetic simulation software package, which is compatible with massively parallel computing.

In addition to incorporating massively parallel computing techniques that have been refined over many years by Fujitsu Limited and Fujitsu Laboratories Limited, the new software combines micromagnetics with a finite-element method. This enables the analysis on a PC server of complexly structured magnetic materials with dozens of times more volume than could previously be analyzed.

Furthermore, this software can be used to develop new magnetic materials or to design magnetic devices, helping cut down on the number of physical prototypes needed, thereby contributing to reduced environmental impact.

Magnetic materials are widely used in magnetic devices, such as the magnetic heads of hard disk drives, memory devices, DC/DC converters, and wireless charging systems. Achieving optimal designs for these devices that meet demands for high functionality and efficiency by taking into consideration the properties of magnetic materials has become a significant challenge. For example, stability is just as critical as recording and play-back performance in the magnetic head of a hard drive, necessitating analysis of the magnetic characteristics of magnetic materials as well as the microstructure of the device.

Micromagnetics, which enables the analysis of the microstructure within magnetic materials, is the optimal way of performing such an analysis. This method, however, not only requires the magnetic materials to be divided into extremely small regions on the order of several atoms in length, it had, up until now, also required the use of an orthogonal grid, posing calculation limitations in the case of complex structures. As a result, this method could not be fully utilized.

To overcome these issues, in addition to implementing massively parallel computing functionality, the new software combines micromagnetics with a finite-element method, enabling it to handle magnetic materials with complex structures, and thereby making it possible to perform large-scale micromagnetic simulations.

Features of EXAMAG LLG Simulator V1

1. Implements massively parallel computing functionality

In micromagnetics calculations, to perform analyses that take into consideration the microstructure of magnetic materials requires that the area being calculated be divided into extremely small regions on the order of one nanometer in length. Due to this, the calculations require massive amounts of memory and a considerable amount of time to complete. To analyze the microstructure of magnetic materials, the new simulation software uses MPI parallel computing. As a result, the calculations can be performed at high speed, while enabling the effective use of memory across multiple x86 servers to achieve massive calculations involving over ten million grid nodes.

2. Micromagnetics calculations based on a finite-element method

Conventional micromagnetics calculations have used an orthogonal grid. As a result, there were limits on the level of precision that could be achieved in calculations on magnetic materials having complex structures. By using a finite-element method, this software can perform optimal calculations involving magnetic materials with structures that are difficult to express using an orthogonal grid, as well as calculations involving the microstructure of magnetic devices with complex shapes.

Pricing and Availability

Pricing and Availability
Software Name Pricing (Excluding Tax)* Availability
EXAMAG LLG Simulator V1 4-Parallel 3 million yen From December 10, 2013
EXAMAG LLG Simulator V1 8-Parallel 5.7 million yen
EXAMAG LLG Simulator V1 16-Parallel 8 million yen

*Pricing for annual license plus year-round support (maintenance). Currently available only in Japan.

Operating Environment

Hardware: FUJITSU Server PRIMERGY or other x86 servers (PC servers)
CPU: Intel Core 2 1.8-GHz or above
Memory: 4GB or above
OS: Red Hat Enterprise Linux 6.0 or above

About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 170,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.4 trillion yen (US$47 billion) for the fiscal year ended March 31, 2013. For more information, please see http://www.fujitsu.com.

—–

Source: Fujitsu

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!

China Plans 2019 Exascale Machine To Grow Sea Power

August 23, 2017

The glory of having the world's fastest supercomputer, as measured by the Linpack benchmark, has been China's for four years running, first with the 33-petaflops Tianhe-2 and currently with the 93-petaflops TaihuLight. T Read more…

By Tiffany Trader

Microsoft, Intel Unveil FPGA-driven Project Brainwave

August 23, 2017

We know about the seeming light-speed processing power of FPGAs and the natural fit they pose for data-dense AI workloads. But we also know that FPGAs present usability and programmability problems that flummox IT shops. Read more…

By Doug Black

Study Identifies Best Practices for Public-Private HPC Engagement

August 22, 2017

What's the best way for HPC centers in the public sphere to engage with private industry partners to boost the competitiveness of the companies and the larger communities? That question is at the heart of a new study pub Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Leveraging Deep Learning for Fraud Detection

Advancements in computing technologies and the expanding use of e-commerce platforms have dramatically increased the risk of fraud for financial services companies and their customers. Read more…

Google Launches Site to Share its NYC-based Algorithm Research

August 22, 2017

Much of Google’s algorithm development occurs in groups scattered throughout New York City. Yesterday, Google launched a single website - NYC Algorithms and Optimization Team page - to provide a deeper view into all of Read more…

By John Russell

China Plans 2019 Exascale Machine To Grow Sea Power

August 23, 2017

The glory of having the world's fastest supercomputer, as measured by the Linpack benchmark, has been China's for four years running, first with the 33-petaflop Read more…

By Tiffany Trader

Microsoft, Intel Unveil FPGA-driven Project Brainwave

August 23, 2017

We know about the seeming light-speed processing power of FPGAs and the natural fit they pose for data-dense AI workloads. But we also know that FPGAs present u Read more…

By Doug Black

Study Identifies Best Practices for Public-Private HPC Engagement

August 22, 2017

What's the best way for HPC centers in the public sphere to engage with private industry partners to boost the competitiveness of the companies and the larger c Read more…

By Tiffany Trader

Tech Giants Outline Battle Plans for Future HPC Market

August 21, 2017

Four companies engaged in a cage fight for leadership in the emerging HPC market of the 2020s are, despite deep differences in some areas, in violent agreement Read more…

By Doug Black

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 disclosed. 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

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’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

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

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

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

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

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

Leading Solution Providers

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

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

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

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

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

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