CINECA, E4 Announce the Successful Conclusion of Phase I Evaluation of Arm Clusters

June 17, 2019

Casalecchio sul Reno and Scandiano, Italy, June 17 – CINECA (www.cineca.it) and E4 Computer Engineering SpA (www.e4company.com) today announced the successful conclusion of the Phase I study targeted to assess the suitability of the 64-bit Armv8 based ecosystem for the CINECA HPC workload. The two-phase study aims at preparing and enabling the transition towards exascale of the flagship codes and workflows used by the material science community, in line with the membership of CINECA in MaX, one of the nine ‘European Centres of Excellence for HPC applications’.

In High Performance Computing (HPC), there is a continued need for higher computational performance. On the other hand, energy is increasingly becoming one of the most expensive resources and it substantially contributes to the total cost of running a large supercomputing facility.

The current generation of 64-bit Arm-8 based processors is a significant step towards with respect to increased double-precision floating-point performance and overall power consumption, making them competitive with stateof-the-art server performance. Aimed at supporting scientific research and engineering simulations and at assessing the suitability of 64-bit Armv8 based processors and 64-bit Armv8 based ecosystem for the specific HPC workload of its users, CINECA initiated a pilot project in 2018 envisioning a two-phase study. Phase I was targeted at exploring the portability and ease of optimization of the packages currently constituting the CINECA workload. Phase II, which is planned to initiate in fall 2019, will target the actual optimization of the flagship codes and workflows used by the material science community and other packages to assess the overall performance features of these packages in terms of Time to Solution and Energy to Solution.

To support the project, E4 developed for CINECA the HPC cluster CARMEN (CINECA Arm ENablement), based on 8 dual socket Marvell ThunderX2 nodes connected via the EDR Infiniband High Speed switch. The cluster has been installed at CINECA in October 2018 and access provided to the developers and users to check the ease of the porting of the applications and the quality of the programming support tools natively provided by the system software and utilities.

Marvell ThunderX2 is the second generation of the company’s Armv8 based server processors supporting dual socket configurations and optimized to deliver the highest computational performance along with balanced IO connectivity, memory bandwidth and capacity. The Marvell ThunderX2 processor family is fully compliant with Arm®v8–A architecture specifications and is optimized to drive high computational performance by delivering outstanding bandwidth and memory capacity. This, in combination with the low power consumption, energy efficiency and optimized architectural features of the Armv8 architecture, creates an environment that is well suited to run computationally intensive HPC workloads.

Phase I (November 2018/April 2019) has shown that the most significant users’ packages constituting the CINECA workload (OpenFOAM, VASP, QuantumEspresso, GROMACS, Lattice Boltzman and many others) were ported seamlessly to CARMEN and did not require any significant investment in term of code refactoring and man-hours. Using only compilers’ options and system libraries, the packages selected for Phase I run seamlessly on CARMEN. While no specific optimization of the packages was performed, the system’s SW tools enabled to pinpoint the areas where to apply optimizations and this information will be of paramount important for Phase II.

Phase II is planned to initiate in fall 2019 and its target is the actual optimization of the packages, including the model-based projections of the performance, power consumption and energy-efficiency of a high end, exascale-class HPC cluster. A particular focus will be reserved to preparing and enabling the transition to exascale of the flagship codes and workflows used by the material science community, in line with the membership of CINECA in MaX, one of the nine ‘European Centres of Excellence for HPC applications’

“We are encouraged that CARMEN has shown positive results during Phase I at CINECA, also in perspective of the objectives of the EuroHPC JU and of the European Process Initiative (EPI).” Commented Dr. Carlo Cavazzoni, head of R&D of HPC department of CINECA. “It is extremely positive that the packages used by CINECA’s scientific and engineering community simply required to be recompiled without any source code modifications. CARMEN demonstrated the potential to scale at higher levels, possibly achieving exascale-class performance within a reasonable power budget. Complementing and leveraging the results of Phase I, CINECA and E4 plan to focus the efforts of Phase II on optimizing the Time to Solution and Energy to Solution for a number of selected packages, preparing and enabling the transition to exascale of the flagship codes and workflows of MaX, and involving a larger number of applications and users.”

“E4 Computer Engineering is always at the leading edge of the technology curve, and is honored to have supported CINECA in the analysis of a promising architecture”. Added Cosimo Damiano Gianfreda, CTO of E4. “E4 has designed its first Arm-based cluster in 2012 and is currently updating its line of product based on 64-bit Armv8 processors to add the next gen of the ThunderX family. The invaluable data gathered in Phase I are enabling E4 to define the specs of its products applying a co-design approach targeted to achieve the optimal configuration for any demanding scientific and industrial requirements. The outcome of Phase II is also contributing to the objectives of the Open Edge and HPC Initiative (www.openedgehpcinitiative.org), of which E4 is founding partner.”


Source: E4 Computer Engineering

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!

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are many interesting stories, and only a few ever become headli Read more…

Quantum Tech Sector Hiring Stays Soft

June 13, 2024

New job announcements in the quantum tech sector declined again last month, according to an Quantum Economic Development Consortium (QED-C) report issued last week. “Globally, the number of new, public postings for Qu Read more…

Labs Keep Supercomputers Alive for Ten Years as Vendors Pull Support Early

June 12, 2024

Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. A typical supercomputer lifecycle is about five to six years Read more…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently king of accelerated computing) wins again, sweeping all nine Read more…

Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT

June 11, 2024

The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research computing centers, national labs, federal agencies, and univ Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst firm TechInsights. Nvidia's GPU shipments in 2023 grew by more Read more…

Under The Wire: Nearly HPC News (June 13, 2024)

June 13, 2024

As managing editor of the major global HPC news source, the term "news fire hose" is often mentioned. The analogy is quite correct. In any given week, there are Read more…

Labs Keep Supercomputers Alive for Ten Years as Vendors Pull Support Early

June 12, 2024

Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. Read more…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently Read more…

Highlights from GlobusWorld 2024: The Conference for Reimagining Research IT

June 11, 2024

The Globus user conference, now in its 22nd year, brought together over 180 researchers, system administrators, developers, and IT leaders from 55 top research Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

ASC24 Expert Perspective: Dongarra, Hoefler, Yong Lin

June 7, 2024

One of the great things about being at an ASC (Asia Supercomputer Community) cluster competition is getting the chance to interview various industry experts and Read more…

HPC and Climate: Coastal Hurricanes Around the World Are Intensifying Faster

June 6, 2024

Hurricanes are among the world's most destructive natural hazards. Their environment shapes their ability to deliver damage; conditions like warm ocean waters, Read more…

ASC24: The Battle, The Apps, and The Competitors

June 5, 2024

The ASC24 (Asia Supercomputer Community) Student Cluster Competition was one for the ages. More than 350 university teams worked for months in the preliminary competition to earn one of the 25 final competition slots. The winning teams... Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. 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…

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…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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…

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…

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…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Leading Solution Providers

Contributors

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…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh 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…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire