HPC Systems Inc. Expands the Science Cloud Offering with the Latest Arm-based HPC

November 13, 2018

DALLAS, Nov. 13 — HPC Systems Inc., launched Science Cloud with Arm HPC. With this ARM-based Science Cloud, our customers including the scientists and engineers in many fields can have an alternative platform choice for their researches and applications that can be more efficient, better performance per watt and per dollar, and reduced TCO.

In big data analytics, machine Learning (ML), deep learning, and artificial intelligence (AI), as well as scientific computing, high performance computers with high-density processors are becoming more common, exceeding the power consumption of 2kW in one compute node. Additionally, the demand for cloud computing services in scientific computing across physics, chemistry, drug discovery, and engineering has increased in recent years.

In the United States, Europe, China, and Japan, the Exascale Computing Project is underway targeting 2021–2024 for its next generation supercomputer. In Japan, the Post-K next-generation supercomputer, which aims for the world’s highest level of versatility and is based on the Armv8-A architecture, the application execution performance can outperform the K Computer up to 100 times, and a power consumption of 30-40 MW compared with 12.7 MW for the K computer.

HPC Systems, in cooperation with Arm, Marvell, and HiSilicon, carefully verified hardware operations, including the InfiniBand interconnect with the Armv8-A architecture, to ensure compatibility for a broad range of HPC applications. With verification and validation efforts including performance bench-marking on various discipline applications, such as simulation applications GAMESS, Gromacs, LAMMPS, OpenFOAM and more, the users can easily execute codes and data onto our Science Cloud platforms without any difficulty. HPC Systems now offers their Science Cloud with Arm HPC platform to the global market, and will announce availability at the Supercomputing Conference, which will be held from November 12th  15th 2018 in Dallas, Texas. We will continue to upgrade the hardware and middleware platform as well as optimize numerous applications and port them to our Science Cloud with Arm HPC.

“The HPC market is rapidly evolving and expanding with the continued adoption of the Arm architectures,” said Brent Gorda, senior director of HPC, Infrastructure Line of Business, Arm. “The Science Cloud with Arm HPC is a step forward in enabling optimized compute capabilities, based on the Armv8-A architecture, and delivering powerful and efficient solutions for HPC.”

“HPC Systems has demonstrated excellence in developing and deploying high performance and scientific solutions to leading customers in some of the most demanding compute segments,” said Larry Wikelius, Vice President Ecosystem and Partner Enabling at Marvell Semiconductor, Inc. “Marvell’s ThunderX2 64-bit Arm V8 processor delivers the compute and memory performance that is fundamental to the Science Cloud with Arm HPC offering and we welcome HPC Systems to the growing Arm server ecosystem.”

“IDC Frontier Inc. welcomes the launch of HPC Systems’ Science Cloud with Arm HPC. The HPC environment specialized in leading Scientific Computing and IDC Frontier combining robust and reliable facilities and strong security, I am confident that the combination with the data center is the best for computational science solutions. IDC Frontier will continue to contribute to solving problems in research and development of universities, government agencies and companies along with HPC Systems.” said Katsuhisa Suzuki, President & CEO of IDC Frontier Inc.

Main features of Science Cloud with Arm HPC:

CPU CPU Model Marvell ThunderX2 HiSilicon Hi1616
ISA Armv8.1 64bit Armv8-A 64bit
# Core 28 32
# Core/ Node 56 64
Clocks 2.0GHz 2.4GHz
# CPU 2 2
# Memory Channel/ Node 16 8
Memory Memory Type DDR4-2666 DDR4-2133
DIMM Sizes 16GB 16GB
# DIMM 8 16
Total Size 128GB 256GB
Storage SATA3 480GB SSD x2 (Soft RAID1) SATA3 300GB HDDx1
OS CentOS, Ubuntu CentOS, Ubuntu, Red Hat Enterprise Linux
NIC Dual 10 Gigabit Ethernet, Mellanox MT27700 ConnectX-4 Mellanox, MT27800 ConnectX-5 Dual 10 Gigabit Ethernet, Mellanox MT27800 ConnectX-5
Hardware Price/ Month JPY150,000/node JPY150,000/node
Ready-for-Setup Applications

GROMACS / LAMMPS / GAMESS / OpenFOAM / VMD etc. *1.

Compiler

Arm Compiler for HPC / GCC*2.

Numerical Libraries

Arm Performance Libraries*2.

MPI Library

Open MPI*2.

Application Price/ Month *3.

JPY100,000

Options
Application Build
Arm Allinea Studio, Others

Please contact for more detail
We support other system configuration such as memory HDD, SSD sizes by request.
*1. Please contact us for available applications. In some cases, it may be necessary for user to register and acquire a license in advance.
*2. Compilers and libraries are subject to register and acquire a license in advance.
*3. Price per Application.

About Marvell ThunderX2

The ThunderX2 family includes over 40 different SKUs for both scale up and scale out applications, ranging from top bin 32 core 2.5GHz parts to 16-core 1.6GHz parts, mapping directly across Intel’s Xeon Skylake server CPUs from highest end Platinum to low end SKUs. The ThunderX2 family offers 2-4X better performance per dollar compared to Xeon Skylake family of processors. The ThunderX2 family is fully compliant with Armv8-A architecture specifications as well as the Arm Server Base System Architecture and Arm Server Base Boot Requirements standards. The ThunderX2 SoC family is supported by a comprehensive software ecosystem, ranging from platform level systems management and firmware to commercial Operating Systems, Development Environments and Applications.

About HiSilicon Hi1616 Processor

HiSilicon second generation Arm processor is HiSilicon’s latest CPU that implements Arm’s high-end Cortex-A 72 microarchitecture. It supports Armv8-A 64-bit instruction set and 128-bit NEON SIMD extension instruction set. While installing 32 large number of cores, the operating frequency has been improved from 2.1 GHz to 2.4 GHz compared with the previous generation, contributing to high performance. In addition, the L2 · L3 cache is comparatively large as 2MB/core, which is designed to be effective for speeding up applications that have lots of continuous access to the cache, such as fluid dynamics and quantum chemistry.

About HPC Systems Inc.

Established in July 2006, HPC Systems Inc. (www.hpc.co.jp) develops, manufactures, and sells high-performance computers that perform scientific and technological calculations conducted by research and development institutions in the public and private sectors. HPC Systems provides optimal cluster and parallel file systems, integration, tuning acceleration services, HPC cloud services, computational chemistry solutions, and research and development support.


Source: HPC Systems Inc.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire