Hewlett Packard Enterprise - One of two HPE Cray EX supercomputers to exceed an exaflop, Aurora is the second-fastest supercomputer in the world:

https://www.hpe.com/us/en/newsroom/press-release/2024/05/hewlett-packard-enterprise-delivers-second-exascale-supercomputer-aurora-to-us-department-of-energys-argonne-national-laboratory.html

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The Power of Alveo V80 for Data-Intensive Workloads

AMD Alveo V80

High memory bandwidth is just as important to optimal performance for large-scale data processing as sheer compute capability. The new AMD Alveo V80 compute accelerator optimises memory-bound applications with large data sets and FPGA hardware adaptability. The Alveo V80 accelerator card, which is currently being produced in large quantities, provides up to double the bandwidth and compute density of earlier generation cards. It also comes with an easier-to-use development process for FPGA designers that use the AMD Vivado Design Suite.

AMD Compute Accelerator Card, Alveo V80

Based on the 7nm Versal adaptable SoC architecture, the AMD Alveo V80 accelerator card is an HBM-enabled compute accelerator card intended for memory-intensive workloads such as data analytics, HPC, network security, sensor processing, computational storage, and fintech.

The new card has a full-height, ¾ length (FH¾L) form factor and is powered by an AMD Versal HBM adaptive SoC. To help overcome performance limitations, it has 2.6M LUTs of FPGA fabric, 10,848 DSP slices of compute, and 820 GB/ of memory bandwidth.

Featuring up to twice the logic density, twice the memory bandwidth, and four times the network bandwidth of its predecessor, the AMD Alveo U55C compute accelerator, the Alveo V80 maximises the number of cards, servers, and rack space while enabling robust compute clusters.

Dedicated, Network-Attached Accelerator for Large-Scale Data Sets and Memory-Heavy Tasks

The Alveo V80 card’s hardware adaptability enables wide use with a variety of unique applications. Since the card is a 4x200G network-attached accelerator, it can handle large amounts of incoming data in real-time, avoiding the PCIe communication issues that GPUs have.

The Alveo V80 accelerator is perfect for a variety of high-performance computing (HPC) applications, such as molecular dynamics, sensor processing, and genomic sequencing, since it can grow to hundreds of nodes across Ethernet for compute clusters. The FPGA hardware flexibility and integrated 400G cryptographic engines and 600G Ethernet hard blocks of the Alveo V80 accelerator make it suitable for AI-enabled anomaly detection and line-rate packet inspection in the context of network security.

Because it can combine query acceleration and compression on the same card, the accelerator is also perfect for computational storage and data analytics. This feature increases effective storage capacity while speeding up the time to insights. It is also a good fit for a number of FinTech applications, such as financial modelling and simulation, options pricing, and strategy backtesting.

Case Study: An Advancement in Astrophysics Computation

Australia’s national research organisation, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), is building the largest radio astronomy antenna array in the world. It presently consists of 420 Alveo U55C accelerator cards, which are used to process radio waves in order to study the early universe and investigate galaxy evolutions.

With the Alveo V80 accelerator, CSIRO hopes to handle additional signal processing duties from the telescope’s 131,000 antennas while cutting footprint, cost, and the number of cards required by up to 66%. The increase in compute capacity per card can result in a TCO reduction of up to 20%, including the possible savings on cards, servers, rack space, and power.

“AMD initially embraced the Alveo product line because of its capacity to handle enormous volumes of sensor data instantly,” stated CSIRO Research Engineer Grant Hampson, who works in the Space and Astronomy Division.AMD next-generation beamformer and correlator need lower TCO. The Alveo V80 accelerator offers a small, power-efficient solution in an affordable footprint, representing a technological step-function advancement over the previous generation Alveo U55C cards.Image Credit to AMD

Development Made Easy for FPGA Designers

With the Alveo Versal Example Design (AVED), which is already accessible on GitHub, traditional hardware engineers can fully utilise the Alveo V80 accelerator card. AVED is built on the well-known Vivado tool flow and streamlines hardware bring-up utilising conventional FPGA and RTL flows. Using a pre-built subsystem that is specifically targeted for the Alveo V80 accelerator card and implemented on the AMD Versal adaptive SoC, the sample design offers a productive starting point.

The Alveo V80 compute accelerator offers a quick route to production and streamlines system integration at the system level. Design teams can avoid PCB integration, inventory management, and product lifecycle management responsibilities by utilising a pre-validated deployment card.

AMD Alveo V80 availability

Alveo V80 is currently available from AMD and approved distributors and is being produced in large quantities.

Predicted on specifications as of April 2024 that are available to the general public in the AMD Alveo Product Selection Guide. (ALV-13).

Comparing an estimated implementation of 140 AMD Alveo V80 accelerator cards with a current implementation of 420 Alveo U55C accelerator cards, based on independent “Early Access” performance and cost analysis estimations by CSIRO in October 2023. The anticipated costs of power and cooling OPEX were factored into an estimated three-year Total Cost of Ownership. AMD has not independently verified any of the performance or cost-savings claims, which are all estimations from CSIRO. Numerous presumptions and variables affect performance and cost benefits, which might vary depending on system setup and other circumstances. The outcomes may not be normal and are unique to CSIRO.

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High-Performance Computing Market – Global Industry Analysis and Forecast (2023-2029)

A key factor driving market growth is HPC systems' ability to process enormous amounts of data quickly and accurately. Finance, medical, research, seismic exploration, and government and defence are among the industrial verticals where applications are experiencing delayed and inefficient data processing challenges. The fast-paced nature of the financial sector needs liveliness in order to process derivative values faster and more precisely. In the medical field, technologies like computed tomography (CT) scanning and magnetic resonance imaging (MRI) rely on complicated algorithms to produce speedy, reliable findings. They are able to process CT and MRI data rapidly and accurately with HPC. As a result, one of the key factors driving the growth of the HPC market is the growing need in many areas for quicker data processing with high accuracy.

"Unleashing Innovation: NVIDIA H100 GPUs and Quantum-2 InfiniBand on Microsoft Azure"

AMD PROCESSORS

ALL YOU NEED TO KNOW ABOUT AMD PROCESSORS. AMD (Advanced Micro Devices) is an American multinational semiconductor company that specializes in manufacturing microprocessors and other computer components. They are one of the largest suppliers of microprocessors globally and compete directly with Intel in the PC processor market. A microprocessor is the central processing unit (CPU) of a computer,…

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Aurora Supercomputer Sets a New Record for AI Tragic Speed!

Intel Aurora Supercomputer

Together with Argonne National Laboratory and Hewlett Packard Enterprise (HPE), Intel announced at ISC High Performance 2024 that the Aurora supercomputer has broken the exascale barrier at 1.012 exaflops and is now the fastest AI system in the world for AI for open science, achieving 10.6 AI exaflops. Additionally, Intel will discuss how open ecosystems are essential to the advancement of AI-accelerated high performance computing (HPC).

Why This Is Important:

From the beginning, Aurora was intended to be an AI-centric system that would enable scientists to use generative AI models to hasten scientific discoveries. Early AI-driven research at Argonne has advanced significantly. Among the many achievements are the mapping of the 80 billion neurons in the human brain, the improvement of high-energy particle physics by deep learning, and the acceleration of drug discovery and design using machine learning.

Analysis

The Aurora supercomputer has 166 racks, 10,624 compute blades, 21,248 Intel Xeon CPU Max Series processors, and 63,744 Intel Data Centre GPU Max Series units, making it one of the world’s largest GPU clusters. 84,992 HPE slingshot fabric endpoints make up Aurora’s largest open, Ethernet-based supercomputing connection on a single system.

The Aurora supercomputer crossed the exascale barrier at 1.012 exaflops using 9,234 nodes, or just 87% of the system, yet it came in second on the high-performance LINPACK (HPL) benchmark. Aurora supercomputer placed third on the HPCG benchmark at 5,612 TF/s with 39% of the machine. The goal of this benchmark is to evaluate more realistic situations that offer insights into memory access and communication patterns two crucial components of real-world HPC systems. It provides a full perspective of a system’s capabilities, complementing benchmarks such as LINPACK.

How AI is Optimized

The Intel Data Centre GPU Max Series is the brains behind the Aurora supercomputer. The core of the Max Series is the Intel X GPU architecture, which includes specialised hardware including matrix and vector computing blocks that are ideal for AI and HPC applications. Because of the unmatched computational performance provided by the Intel X architecture, the Aurora supercomputer won the high-performance LINPACK-mixed precision (HPL-MxP) benchmark, which best illustrates the significance of AI workloads in HPC.

The parallel processing power of the X architecture excels at handling the complex matrix-vector operations that are a necessary part of neural network AI computing. Deep learning models rely heavily on matrix operations, which these compute cores are essential for speeding up. In addition to the rich collection of performance libraries, optimised AI frameworks, and Intel’s suite of software tools, which includes the Intel oneAPI DPC++/C++ Compiler, the X architecture supports an open ecosystem for developers that is distinguished by adaptability and scalability across a range of devices and form factors.

Enhancing Accelerated Computing with Open Software and Capacity

He will stress the value of oneAPI, which provides a consistent programming model for a variety of architectures. OneAPI, which is based on open standards, gives developers the freedom to write code that works flawlessly across a variety of hardware platforms without requiring significant changes or vendor lock-in. In order to overcome proprietary lock-in, Arm, Google, Intel, Qualcomm, and others are working towards this objective through the Linux Foundation’s Unified Acceleration Foundation (UXL), which is creating an open environment for all accelerators and unified heterogeneous compute on open standards. The UXL Foundation is expanding its coalition by adding new members.

As this is going on, Intel Tiber Developer Cloud is growing its compute capacity by adding new, cutting-edge hardware platforms and new service features that enable developers and businesses to assess the newest Intel architecture, innovate and optimise workloads and models of artificial intelligence rapidly, and then implement AI models at scale. Large-scale Intel Gaudi 2-based and Intel Data Centre GPU Max Series-based clusters, as well as previews of Intel Xeon 6 E-core and P-core systems for certain customers, are among the new hardware offerings. Intel Kubernetes Service for multiuser accounts and cloud-native AI training and inference workloads is one of the new features.

Next Up

Intel’s objective to enhance HPC and AI is demonstrated by the new supercomputers that are being implemented with Intel Xeon CPU Max Series and Intel Data Centre GPU Max Series technologies. The Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA) CRESCO 8 system will help advance fusion energy; the Texas Advanced Computing Centre (TACC) is fully operational and will enable data analysis in biology to supersonic turbulence flows and atomistic simulations on a wide range of materials; and the United Kingdom Atomic Energy Authority (UKAEA) will solve memory-bound problems that underpin the design of future fusion powerplants. These systems include the Euro-Mediterranean Centre on Climate Change (CMCC) Cassandra climate change modelling system.

The outcome of the mixed-precision AI benchmark will serve as the basis for Intel’s Falcon Shores next-generation GPU for AI and HPC. Falcon Shores will make use of Intel Gaudi’s greatest features along with the next-generation Intel X architecture. A single programming interface is made possible by this integration.

In comparison to the previous generation, early performance results on the Intel Xeon 6 with P-cores and Multiplexer Combined Ranks (MCR) memory at 8800 megatransfers per second (MT/s) deliver up to 2.3x performance improvement for real-world HPC applications, such as Nucleus for European Modelling of the Ocean (NEMO). This solidifies the chip’s position as the host CPU of choice for HPC solutions.

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Powering Productivity: The Versatility of Workstations

Workstations stand at the forefront of productivity and innovation, providing professionals across various industries with the computational prowess and specialized tools needed to tackle complex tasks and unleash their creativity.

Equipped with advanced processors, high-resolution displays, and cutting-edge graphics cards, workstations offer unparalleled performance for demanding applications such as graphic design, engineering simulations, and video editing. These powerhouse machines are meticulously engineered to handle intensive workloads with precision and speed, enabling users to multitask seamlessly and deliver superior results. Moreover, workstations boast features like ECC memory, professional-grade GPUs, and ISV-certified software support, ensuring stability, reliability, and compatibility for mission-critical workflows. Whether in design studios, research laboratories, or financial institutions, workstations empower professionals to push the boundaries of innovation and achieve breakthroughs in their respective fields. As organizations strive for operational excellence and competitive advantage, workstations emerge as indispensable tools for maximizing productivity, fostering creativity, and driving business success in the digital age. #Workstations #Productivity #Innovation #ProfessionalWorkflows #Technology #Creativity #BusinessSuccess #HighPerformanceComputing #DigitalTransformation #GraphicsProcessingUnit #MissionCritical #Efficiency #ISVCertification #Precision #Reliability #SpecializedTools