Flexibility and Performance for the Convergence of HPC and AI Workloads

May 27, 2019

The future of HPC and AI are intertwined and place significant demands on a platform. Addressing these holistically is far from simple – processor, memory subsystem (memory, persistence, capacity, bandwidth, cost), interconnect (bandwidth, cost, reliability), software tools, and applications (frameworks, eco-system, optimization/tuning) are all important.

To find the best solution for our intertwined HPC and AI needs, the task is to see the forest despite the trees. That means we should look at the overall platform benefits as a whole versus the benefits of each technology. With exascale on the horizon, the blending of HPC and AI algorithms, and ever-increasing data sets, having an overall robust platform is more important than ever.

Two recent examples strengthen the case for the intertwining of HPC and AI. Recent research at CERN has shown than AI-based models may be able to significantly boost simulation performance. In another example, Deep Neural Networks (DNN) with medical images that place high demands on memory capacity and performance have been shown to benefit when processors are used to power the DNN. In both examples, vector processing (Intel® AVX-512, including Intel® DL Boost) and memory subsystem (capacity, bandwidth) are critical to the high performance of HPC and AI workloads.

The opportunity to address the world’s biggest problems has never been greater. High performance processors remain the critical element in building a platform to meet the diverse needs of the HPC and AI convergence.

Intel recently introduced the 2nd Generation Intel® Xeon® Scalable processor along with a compelling platform story that addresses HPC and AI demands. Benchmark results are showing the benefits of coupling outstanding processing performance with outstanding memory bandwidth per core, per node and at scale to serve a broad set of HPC, data analytics, and AI applications. For details, see the new technical brief 2nd Generation Intel® Xeon® Scalable Processor Ushers in a New Era of Performance for HPC Platforms.

Six Key Platform Attributes to Consider

These differentiating characteristics make 2nd Gen Intel® Xeon® Scalable processors the right solution for the challenges of AI/HPC convergence:

  1. Per Core Computational Ability: Core per core, Intel offers up to 1.72x the FP performance of competing processors4.
  2. Memory Bandwidth: High bandwidth to memory (up to 2933MT/s) – a boost for many workloads
  3. Scalability: High degrees of scaling (up to 56 cores) – reflected with LINPACK numbers up to 5.8X higher3.
  4. HPC Acceleration: High performance computing for HPC workloads (Intel® Advanced Vector eXtensions 512-bit (Intel® AVX-512) – an advantage over AVX2 of up to 2XFLOPS)1
  5. AI Acceleration: High performance computing for analytics and AI workloads (Intel AVX-512 and Intel® Deep Learning Boost (Intel® DL Boost))
  6. Platform Strength: Integration with the larger platform support portfolio including Intel® Optane™ Persistent Memory, Intel® Optane™ SSDs, Intel® Interconnect products, Intel® FPGA solutions, Software Defined Visualization (SDVis), Intel® Parallel Studio XE 2019 software developer toolkit, eco-system support and optimizations.

One particular 2nd Gen Intel Xeon Scalable processor, the Intel® Xeon® Platinum 9200 processor, brings together all these advantages into a compelling package that is optimized for both density and performance. The processors feature up to 56 cores, 12 memory channels (at 2933MT/s), and high-speed interconnect capabilities via 80 PCIe Gen3 lanes per node. LINPACK benchmarking shows up to 5.8X advantage for the Intel Xeon Platinum 9282 processor over AMD EPYC 76013.


See benchmark results documented in the 2nd Generation Intel® Xeon® Scalable Processor Ushers in a New Era of Performance for HPC Platforms technical brief.


Scaling Platforms Up for Better Results

The first supercomputer featuring Intel Xeon Platinum 9200 processors will be HLRN-IV at the North-German Supercomputing Alliance. Prof. Dr. Ramin Yahyapour of Göttingen University echoed what all HPC centers see: “Science in general is getting more compute and data intensive. This means that having larger systems available translates into an ability for the scientists to do better work.”

2nd Gen Intel® Xeon® Scalable processors offer outstanding processing performance with outstanding memory bandwidth to tackle HPC/AI converged applications.

Intel® AVX-512 magnified by Intel® DL Boost and high memory bandwidth

Intel’s investment in high performance support for vectors, including the widest format AVX-512 with dual fused multiply-adders (FMAs), not only pays off with outstanding FP throughput (e.g., LINPACK), but also for workloads accelerated by Intel DL Boost.  Intel DL Boost also harnesses the power of the AVX-512 wide vector format to achieve high throughput, allowing a wide variety of analytics, AI, and HPC workload algorithms to seamlessly leverage the high throughput capabilities of the processors. This allows Intel DL Boost to be especially useful for deep learning when computational capacity is an issue — a win for HPC/AI converged applications where large models benefit from direct access to the large memory capacity of the processor.

Platform vision

Read the 2nd Generation Intel® Xeon® Scalable Processor Ushers in a New Era of Performance for HPC Platforms technical brief to see why systems built with the latest Intel processors offer performance for a broad range of HPC workloads, and a compelling solution for integrating HPC, data analytics and AI in a single system.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

Performance results are based on testing as of dates shown in configuration and may not reflect all publicly available security updates. See configuration disclosure for details. No product or component can be absolutely secure.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.


Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

Performance results are based on testing as of dates shown in configuration and may not reflect all publicly available security updates. See configuration disclosure for details. No product or component can be absolutely secure.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at www.intel.com.

1 2x better performance with AVX512 vs AVX2: Theoretical FLOPS when comparing Cascade Lake with AVX512 and 2 512 bit FMAs to older generation Broadwell with AVX2 and 2 256 bit FMAs.

2 2x memory channels: Comparing 2nd Gen Intel Xeon Platinum 9200 processors with 12 memory channels per socket vs. Intel Xeon
Scalable processors (Skylake) with 6 memory channels per socket.

3 5.8x LINPACK performance AMD EPYC 7601; tested by Intel on 7/31/2018: Supermicro AS-2023US-TR4 with 2 AMD EPYC 7601 (2.2 GHz, 32 core) processors, SMT OFF, Turbo ON, BIOS ver 1.1a, 4/26/2018, microcode: 0x8001227, 16x32GB DDR4-2666, 1 SSD, Ubuntu 18.04.1 LTS (4.17.0-041700-generic Retpoline), High Performance Linpack v2.2, compiled with Intel®Parallel Studio XE 2018 for Linux, Intel MPI version 18.0.0.128, AMD BLIS ver 0.4.0, Benchmark Confg: Nb=232, N=168960, P=4, Q=4, Score =1095GFs, vs. test by Intel 2/16/2019: vs.1-node, 2x Intel® Xeon® Platinum 9282 processor (56 core, 2.6 GHz) on Walker Pass with 768 GB (24x 32GB 2933) total memory, ucode 0x400000A on RHEL7.6,3.10.0-957.el7.x86_65, IC19u1, AVX512, HT on all (off Stream, Linpack), Turbo on all (off Stream, Linpack), Linpack=6411.

4 1.72x 1-copy SPECrate2017_fp_base* 2 socket Intel 8280 vs 2 socket AMD* EPYC* 7601; config details: tested by Intel on 2/6/2019 with security mitigations for variants 1,2,3,3a and L1TF, Xeon-SP 8280, Intel Xeon-based Reference Platform with 2 Intel Xeon 8280 processors (2.7GHz, 28 core), BIOS vSE5C620.86B.0D.01.0348.011820191451, 01/18/2019, microcode: 0x5000017, HT OFF, Turbo ON, 12x32GB DDR4-2933, 1 SSD, Red Hat EL 7.6 (3.10.0-957.1.3.el7.x86_64), 1-copy SPECrate2017_fp_rate base benchmark compiled with Intel Compiler 19.0.1.144, -xCORE-AVX512 -ipo -O, executed on 1 core using taskset and numactl on core 0. Estimated score = 9.6, vs. tested by Intel 2/8/2019: AMD EPYC 7601, Supermicro AS-2023US-TR4 with 2S AMD EPYC 7601 with 2 AMD EPYC 7601 (2.2GHz, 32 core) processors, BIOS v1.1c, 10/4/2018, SMT OFF, Turbo ON, 16x32GB DDR4-2666, 1 SSD, Red Hat EL 7.6 (3.10.0-957.5.1.el7.x86_64), 1-copy SPECrate2017_fp_rate base benchmark compiled with AOCC v1.0 -Ofast, -march=znver1, executed on 1 core using taskset and numactl on core 0. Estimated score = 5.56.

5 30x inference throughput improvement on Intel Xeon Platinum 9282 processor with Intel® DL Boost: Tested by Intel as of 2/26/2019. Platform: Dragon rock 2 socket Intel Xeon Platinum 9282(56 cores per socket), HT ON, turbo ON, Total Memory 768 GB (24 slots/ 32GB/ 2933 MHz), BIOS:SE5C620.86B.0D.01.0241.112020180249, Centos 7 Kernel 3.10.0-957.5.1.el7.x86_64, Deep Learning Framework: Intel® Optimization for Caffe version: https://github.com/intel/caffe d554cbf1, ICC 2019.2.187, MKL DNN v0.17 (commit hash:830a10059a018cd2634d94195140cf2d8790a75a), model: https://github.com/intel/caffe/blob/master/models/intel_optimized_models/
int8/resnet50_int8_full_conv.prototxt, BS=64, No datalayer syntheticData:3x224x224, 48 instance/2 socket, Datatype: INT8 vs Tested by Intel as of July 11th 2017: 2S Intel® Xeon® Platinum 8180 CPU @ 2.50GHz (28 cores), HT disabled, turbo disabled, scaling governor set to “performance” via intel_pstate driver, 384GB DDR4-2666 ECC RAM. CentOS Linux release 7.3.1611 (Core), Linux kernel 3.10.0-514.10.2.el7. x86_64. SSD: Intel® SSD DC S3700 Series (800GB, 2.5in SATA 6Gb/s, 25nm, MLC).Performance measured with: Environment variables: KMP_AFFINITY=’granularity=fne, compact‘, OMP_NUM_THREADS=56, CPU Freq set with cpupower frequency-set -d 2.5G -u 3.8G –g performance. Caffe: (http://github.com/intel/caffe/), revision f96b759f71b2281835f690af267158b82b150b5c. Inference measured with “caffe time –forward_only” command, training measured with “caffe time” command. For “ConvNet” topologies, synthetic dataset was used. For other topologies, data was stored on local storage and cached in memory before training. Topology specs from https://github.com/intel/caffe/tree/master/models/intel_optimized_models (ResNet-50),. Intel C++ compiler v17.0.2 20170213, Intel MKL small libraries v2018.0.20170425. Caffe run with “numactl -l“.

Intel, the Intel logo, Intel Optane and Intel Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© 2019 Intel Corporation

 

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!

Russian Supercomputer Employed to Develop COVID-19 Treatment

March 31, 2020

From Summit to [email protected], global supercomputing is continuing to mobilize against the coronavirus pandemic by crunching massive problems like epidemiology, therapeutic development and vaccine development. The latest a Read more…

By Staff report

What’s New in HPC Research: Supersonic Jets, Skin Modeling, Astrophysics & More

March 31, 2020

In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

By Oliver Peckham

Pandemic ‘Wipes Out’ 2020 HPC Market Growth, Flat to 12% Drop Expected

March 31, 2020

As the world battles the still accelerating novel coronavirus, the HPC community has mounted a forceful response to the pandemic on many fronts. But these efforts won't inoculate the HPC industry from the economic effects of COVID-19. Market watcher Intersect360 Research has revised its 2020 forecast for HPC products and services, projecting... Read more…

By Tiffany Trader

LLNL Leverages Supercomputing to Identify COVID-19 Antibody Candidates

March 30, 2020

As COVID-19 sweeps the globe to devastating effect, supercomputers around the world are spinning up to fight back by working on diagnosis, epidemiology, treatment and vaccine development. Now, Lawrence Livermore National Read more…

By Staff report

Weather at Exascale: Load Balancing for Heterogeneous Systems

March 30, 2020

The first months of 2020 were dominated by weather and climate supercomputing news, with major announcements coming from the UK, the European Centre for Medium-Range Weather Forecasts and the U.S. National Oceanic and At Read more…

By Oliver Peckham

AWS Solution Channel

Amazon FSx for Lustre Update: Persistent Storage for Long-Term, High-Performance Workloads

Last year I wrote about Amazon FSx for Lustre and told you how our customers can use it to create pebibyte-scale, highly parallel POSIX-compliant file systems that serve thousands of simultaneous clients driving millions of IOPS (Input/Output Operations per Second) with sub-millisecond latency. Read more…

Q&A Part Two: ORNL’s Pooser on Progress in Quantum Communication

March 30, 2020

Quantum computing seems to get more than its fair share of attention compared to quantum communication. That’s despite the fact that quantum networking may be nearer to becoming a practical reality. In this second inst Read more…

By John Russell

Pandemic ‘Wipes Out’ 2020 HPC Market Growth, Flat to 12% Drop Expected

March 31, 2020

As the world battles the still accelerating novel coronavirus, the HPC community has mounted a forceful response to the pandemic on many fronts. But these efforts won't inoculate the HPC industry from the economic effects of COVID-19. Market watcher Intersect360 Research has revised its 2020 forecast for HPC products and services, projecting... Read more…

By Tiffany Trader

Weather at Exascale: Load Balancing for Heterogeneous Systems

March 30, 2020

The first months of 2020 were dominated by weather and climate supercomputing news, with major announcements coming from the UK, the European Centre for Medium- Read more…

By Oliver Peckham

Q&A Part Two: ORNL’s Pooser on Progress in Quantum Communication

March 30, 2020

Quantum computing seems to get more than its fair share of attention compared to quantum communication. That’s despite the fact that quantum networking may be Read more…

By John Russell

DoE Expands on Role of COVID-19 Supercomputing Consortium

March 25, 2020

After announcing the launch of the COVID-19 High Performance Computing Consortium on Sunday, the Department of Energy yesterday provided more details on its sco Read more…

By John Russell

[email protected] Rallies a Legion of Computers Against the Coronavirus

March 24, 2020

Last week, we highlighted [email protected], a massive, crowdsourced computer network that has turned its resources against the coronavirus pandemic sweeping the globe – but [email protected] isn’t the only game in town. The internet is buzzing with crowdsourced computing... Read more…

By Oliver Peckham

Conversation: ANL’s Rick Stevens on DoE’s AI for Science Project

March 23, 2020

With release of the Department of Energy’s AI for Science report in late February, the effort to build a national AI program, modeled loosely on the U.S. Exascale Initiative, enters a new phase. Project leaders have already had early discussions with Congress... Read more…

By John Russell

Servers Headed to Junkyard Find 2nd Life Fighting Cancer in Clusters

March 20, 2020

Ottawa-based charitable organization Cancer Computer is on a mission to stamp out cancer and other life-threatening diseases, including coronavirus, by putting Read more…

By Tiffany Trader

Kubernetes and HPC Applications in Hybrid Cloud Environments – Part II

March 19, 2020

With the rise of cloud services, CIOs are recognizing that applications, middleware, and infrastructure running in various compute environments need a common management and operating model. Maintaining different application and middleware stacks on-premises and in cloud environments, by possibly using different specialized infrastructure and application... Read more…

By Daniel Gruber,Burak Yenier and Wolfgang Gentzsch, UberCloud

[email protected] Turns Its Massive Crowdsourced Computer Network Against COVID-19

March 16, 2020

For gamers, fighting against a global crisis is usually pure fantasy – but now, it’s looking more like a reality. As supercomputers around the world spin up Read more…

By Oliver Peckham

Julia Programming’s Dramatic Rise in HPC and Elsewhere

January 14, 2020

Back in 2012 a paper by four computer scientists including Alan Edelman of MIT introduced Julia, A Fast Dynamic Language for Technical Computing. At the time, t Read more…

By John Russell

Global Supercomputing Is Mobilizing Against COVID-19

March 12, 2020

Tech has been taking some heavy losses from the coronavirus pandemic. Global supply chains have been disrupted, virtually every major tech conference taking place over the next few months has been canceled... Read more…

By Oliver Peckham

[email protected] Rallies a Legion of Computers Against the Coronavirus

March 24, 2020

Last week, we highlighted [email protected], a massive, crowdsourced computer network that has turned its resources against the coronavirus pandemic sweeping the globe – but [email protected] isn’t the only game in town. The internet is buzzing with crowdsourced computing... Read more…

By Oliver Peckham

DoE Expands on Role of COVID-19 Supercomputing Consortium

March 25, 2020

After announcing the launch of the COVID-19 High Performance Computing Consortium on Sunday, the Department of Energy yesterday provided more details on its sco Read more…

By John Russell

Steve Scott Lays Out HPE-Cray Blended Product Roadmap

March 11, 2020

Last week, the day before the El Capitan processor disclosures were made at HPE's new headquarters in San Jose, Steve Scott (CTO for HPC & AI at HPE, and former Cray CTO) was on-hand at the Rice Oil & Gas HPC conference in Houston. He was there to discuss the HPE-Cray transition and blended roadmap, as well as his favorite topic, Cray's eighth-gen networking technology, Slingshot. Read more…

By Tiffany Trader

Fujitsu A64FX Supercomputer to Be Deployed at Nagoya University This Summer

February 3, 2020

Japanese tech giant Fujitsu announced today that it will supply Nagoya University Information Technology Center with the first commercial supercomputer powered Read more…

By Tiffany Trader

Tech Conferences Are Being Canceled Due to Coronavirus

March 3, 2020

Several conferences scheduled to take place in the coming weeks, including Nvidia’s GPU Technology Conference (GTC) and the Strata Data + AI conference, have Read more…

By Alex Woodie

Leading Solution Providers

SC 2019 Virtual Booth Video Tour

AMD
AMD
ASROCK RACK
ASROCK RACK
AWS
AWS
CEJN
CJEN
CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
IBM
IBM
MELLANOX
MELLANOX
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
SIX NINES IT
SIX NINES IT
VERNE GLOBAL
VERNE GLOBAL
WEKAIO
WEKAIO

Cray to Provide NOAA with Two AMD-Powered Supercomputers

February 24, 2020

The United States’ National Oceanic and Atmospheric Administration (NOAA) last week announced plans for a major refresh of its operational weather forecasting supercomputers, part of a 10-year, $505.2 million program, which will secure two HPE-Cray systems for NOAA’s National Weather Service to be fielded later this year and put into production in early 2022. Read more…

By Tiffany Trader

Exascale Watch: El Capitan Will Use AMD CPUs & GPUs to Reach 2 Exaflops

March 4, 2020

HPE and its collaborators reported today that El Capitan, the forthcoming exascale supercomputer to be sited at Lawrence Livermore National Laboratory and serve Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

IBM Unveils Latest Achievements in AI Hardware

December 13, 2019

“The increased capabilities of contemporary AI models provide unprecedented recognition accuracy, but often at the expense of larger computational and energet Read more…

By Oliver Peckham

TACC Supercomputers Run Simulations Illuminating COVID-19, DNA Replication

March 19, 2020

As supercomputers around the world spin up to combat the coronavirus, the Texas Advanced Computing Center (TACC) is announcing results that may help to illumina Read more…

By Staff report

IBM Debuts IC922 Power Server for AI Inferencing and Data Management

January 28, 2020

IBM today launched a Power9-based inference server – the IC922 – that features up to six Nvidia T4 GPUs, PCIe Gen 4 and OpenCAPI connectivity, and can accom Read more…

By John Russell

University of Stuttgart Inaugurates ‘Hawk’ Supercomputer

February 20, 2020

This week, the new “Hawk” supercomputer was inaugurated in a ceremony at the High-Performance Computing Center of the University of Stuttgart (HLRS). Offici Read more…

By Staff report

Summit Joins the Fight Against the Coronavirus

March 6, 2020

With the coronavirus sweeping the globe, tech conferences and supply chains are being hit hard – but now, tech is hitting back. Oak Ridge National Laboratory Read more…

By Staff report

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This