ARM Accelerates Mathematical Computation on 64-Bit ARM-Based HPC Systems

November 12, 2015

CAMBRIDGE, England, Nov. 12 — Further strengthening its commitment to high performance computing (HPC) servers, ARM announced new math libraries that are precision-tuned for 64-bit ARM v8-A processors. ARM Performance Libraries are foundational math routines designed to enable the maximum performance of computational software running on ARM-based HPC (High-performance computing) servers and systems. ARM math libraries take advantage of each silicon partner’s specific microarchitecture innovations and features within their SoCs based on the ARMv8-A architecture to ensure peak system performance. The HPC community will have an opportunity to see the first public demonstrations of ARM Performance Libraries at the upcoming SC15 conference.

“ARM Performance Libraries are another key milestone in the advancement of the ARM server and HPC ecosystem,” said Hobson Bullman, general manager, developer systems group, ARM. “The HPC community are early adopters of ARM-based servers and the introduction of optimized math routines build a foundation for enabling scientific computing on 64-bit ARM based compute platforms. ARM Performance Libraries hit the mark for both software performance and a consistent library interface to enable ease of software development and portability to ARMv8-A server platforms.”

ARM Performance Libraries optimized for Partner silicon

ARM enables load-optimized silicon and server platforms that are radically expanding the realm of what is possible for the HPC community. To ensure end-customers see compelling results from differentiation enabled by the ARMv8-A architecture, ARM works with its silicon partners to enhance performance tuning for any 64-bit ARM SoC. This approach uniquely takes advantage of innovations and design choices such as memory hierarchy and pipeline configuration which can directly influence the throughput of computational operations.

Numerical Algorithms Group (NAG) at the core of ARM Performance Libraries

The NAG Library and associated validation suite is the world’s largest commercially available collection of numerical and statistical algorithms. The NAG Library represents a tried and tested baseline from which to build variants designed for the ARMv8-A architecture. Building on NAG’s industry-tested BLAS, LAPACK and FFT math routines enables ARM to bring mature, accurate and validated core libraries to market quickly. ARM Performance Libraries are multithreaded, optimized for Advanced SIMD and built using the industry’s latest compilers, enabling peak throughput on 64-bit ARM SoC designs.

“Utilizing NAG’s Linear Algebra and FFT algorithms at its core, ARM Performance Libraries are the perfect building block for higher-level scientific computing applications,” said Mike Dewar, CTO, NAG. “The hardware-specific performance tuning enabled by ARM Performance Libraries, combined with NAG’s stringent requirements for robustness and mathematical correctness, will yield the fastest and most accurate computational mathematics routines for the ARM ecosystem.”

“Cavium is pleased to partner with ARM and NAG to deliver the optimized libraries that are required for the most demanding HPC and Big Data Analytics software applications,” said Larry Wikelius, director, ecosystems and partner enablement, Cavium. “ThunderX, Cavium’s 48-core ARMv8-A based Workload Optimized Processor with dual-socket support is the ideal platform for delivering best-in-class performance for high performance computing applications utilizing the ARM Performance Library. Cavium and ARM continue to aggressively drive the ARMv8-A server ecosystem with industry-leading system and software partners that are delivering key solutions to the HPC, enterprise and hyper-scale server market.”

Enabling Open Source for ARM HPC

To accelerate porting of software to platforms based on the ARMv8-A architecture, including 64-bit ARM Cortex processor-based servers, ARM Performance Libraries offer tested binary distributions of popular open source applications for HPC including ATLAS, OpenMPI, NumPy and TAU. All changes required to port these open source applications to ARM will be fed back to the open source repositories to enable HPC community development and collaboration.

Commercially licensed

ARM Performance Libraries are available for commercial licensing and supported by ARM, providing a non-restrictive, fully supported, royalty free and maintained development platform. The pre-built, open source packages will be delivered under their respective license.

About ARM

Celebrating the 25th anniversary of its founding at the 2015 ARM TechCon, ARM is at the heart of the world’s most advanced digital products. Our technology enables the creation of new markets and transformation of industries and society. We design scalable, energy efficient-processors and related technologies to deliver the intelligence in applications ranging from sensors to servers, including smartphones, tablets, enterprise infrastructure and the Internet of Things.

Source: ARM

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!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o 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…

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…

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…

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…

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…

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... 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