IEI is een van de grootste leveranciers van producten voor industriële computersystemen. IEI levert honderden verschillende boards, systemen en onderdelen voor uiteenlopende applicaties in de industriële automatisering, defensie, medisch, infotainment en mobiel gebruik. Vooruitstrevende oplossingen bezorgen u als klant een kortere ontwerpcyclus zodat u de voorsprong op de concurrent kunt behouden en zelfs vergroten.
In the quest for making FPGA technology more accessible to the software community, Xilinx recently released PYNQ, a framework for Zynq that relies on Python and overlays to ease the integration of functionalities of the programmable logic into applications. In this work, we build upon this framework to enable transparent hardware acceleration for scientific computations for Zynq. We do so by providing a custom NumPy library designed for PYNQ, as it is the de-facto most used library within Data Science applications written in Python. We then demonstrate the effectiveness of the proposed approach with a use case on audio signal alignment.
IEI is een van de grootste leveranciers van producten voor industriële computersystemen. IEI levert honderden verschillende boards, systemen en onderdelen voor uiteenlopende applicaties in de industriële automatisering, defensie, medisch, infotainment en mobiel gebruik. Vooruitstrevende oplossingen bezorgen u als klant een kortere ontwerpcyclus zodat u de voorsprong op de concurrent kunt behouden en zelfs vergroten.
In the quest for making FPGA technology more accessible to the software community, Xilinx recently released PYNQ, a framework for Zynq that relies on Python and overlays to ease the integration of functionalities of the programmable logic into applications. In this work, we build upon this framework to enable transparent hardware acceleration for scientific computations for Zynq. We do so by providing a custom NumPy library designed for PYNQ, as it is the de-facto most used library within Data Science applications written in Python. We then demonstrate the effectiveness of the proposed approach with a use case on audio signal alignment.
The Corsair Vengeance a4100 is part of its newest line of gaming PCs, introduced alongside the i4200 series earlier this summer. This AMD Ryzen powered system comes with an Elgato 4K60 Pro capture card pre-installed, which makes it a dope option for anyone looking for a powerful pre-built PC for streaming and content creation.
This is a presentation that looks ta some of the Linux commands you could use to identify the hardware on your system. This can be useful for troubleshooting, or just for figuring out which motherboard is in which box.
PGCon 2014 - What Do You Mean my Database Server Core Dumped? - How to Inspec...Faisal Akber
Presented at PGCon 2014 in Ottawa.
Program crashes are a fact of life and occasionally unavoidable. If there are core dumps that get generated then understanding what happened becomes easier.
Dell Technologies Dell EMC POWERMAX Storage On One Single Page - POSTER - v1a...Smarter.World
The Dell EMC PowerMax storage system specifications on one single page.
Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
ISO A0 poster edition - v1a September 2019
Dell Technologies Dell EMC Data Protection Solutions On One Single Page - POS...Smarter.World
The Dell EMC Data Protection solutions and specifications on one single page.
Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
ISO A0 poster edition - v2 October 2019
If AMD Adopted OMI in their EPYC ArchitectureAllan Cantle
AMD's EPYC Architecture has paved the way forward towards Heterogeneous Data Centric Computing, but it is still limited by it's parallel DDR interfaces. This presentation shows the potential for the EPYC architecture if it adopted the Open Memory Interface, OMI, for it's Near Memory interface.
In this session I will tell you what Hortonworks and IBM Power solutions are and how we can realize significant business value development and prompt use of open innovation in future cognitive utilization. In addition, I will introduce the value added unique to IBM that can be provided by IBM and Hortonworks partnership from the viewpoint of storage, analytics, data science and streaming analysis.
The Corsair Vengeance a4100 is part of its newest line of gaming PCs, introduced alongside the i4200 series earlier this summer. This AMD Ryzen powered system comes with an Elgato 4K60 Pro capture card pre-installed, which makes it a dope option for anyone looking for a powerful pre-built PC for streaming and content creation.
This is a presentation that looks ta some of the Linux commands you could use to identify the hardware on your system. This can be useful for troubleshooting, or just for figuring out which motherboard is in which box.
PGCon 2014 - What Do You Mean my Database Server Core Dumped? - How to Inspec...Faisal Akber
Presented at PGCon 2014 in Ottawa.
Program crashes are a fact of life and occasionally unavoidable. If there are core dumps that get generated then understanding what happened becomes easier.
Dell Technologies Dell EMC POWERMAX Storage On One Single Page - POSTER - v1a...Smarter.World
The Dell EMC PowerMax storage system specifications on one single page.
Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
ISO A0 poster edition - v1a September 2019
Dell Technologies Dell EMC Data Protection Solutions On One Single Page - POS...Smarter.World
The Dell EMC Data Protection solutions and specifications on one single page.
Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
ISO A0 poster edition - v2 October 2019
If AMD Adopted OMI in their EPYC ArchitectureAllan Cantle
AMD's EPYC Architecture has paved the way forward towards Heterogeneous Data Centric Computing, but it is still limited by it's parallel DDR interfaces. This presentation shows the potential for the EPYC architecture if it adopted the Open Memory Interface, OMI, for it's Near Memory interface.
In this session I will tell you what Hortonworks and IBM Power solutions are and how we can realize significant business value development and prompt use of open innovation in future cognitive utilization. In addition, I will introduce the value added unique to IBM that can be provided by IBM and Hortonworks partnership from the viewpoint of storage, analytics, data science and streaming analysis.
With the HPE ProLiant DL325 Gen10 server, Hewlett Packard Enterprise is extending the worlds' most secure industry standard servers product families. This a secure and versatile single socket (1P) 1U AMD EPYC™ based platform offers an exceptional balance of processor, memory and I/O for virtualization and data intensive workloads. With up to 32 cores, up to 16 DIMMs, 2 TB memory capacity and support for up to 10 NVMe drives, this server delivers 2P performance with 1P economics.This datasheet includes features, port description, configuration guide and specification of this series.
Jetson AGX Xavier and the New Era of Autonomous MachinesDustin Franklin
Deep-dive on NVIDIA Jetson AGX Xavier, designed to help you deploy advanced AI onboard robots, drones, and other autonomous machines. View the webinar here: https://bit.ly/2BWVWv1
The IoT is becoming extremely popular keyword in the industries while there are many different interpretations or various definitions. However, one common requirement is that it requires many Sensor devices connected to Linux devices. The user space drivers for GPIO, I2C/SPI and UART sensors in the past were implemented separately from scratch delicately for each product. This will cause significant challenge of software engineering overhead while GPIO, I2C/SPI and UART sensors are dramatically increasing which have to be supported. The IoTDK is one of the library to provide portability of sensors' driver to solve the situation.
The talk will includes guide of IoTDK and 96Boards and tutorial of programing I2C and GPIO devices. Targeted audiences are who are interested in IoT sensors or who would like to move from Arduino and Raspberry Pi to modern ARM CPU effectively.
This presentation was delivered at LinuxCon Japan 2016 by Akira Tsukamoto.
Supermicro’s Universal GPU: Modular, Standards Based and Built for the FutureRebekah Rodriguez
The Universal GPU system architecture combines the latest technologies that support multiple GPU form factors, CPU choices, storage, and networking options.Together, these components are optimized to deliver high performance in a balanced architecture in a highly scalable system. Systems can be optimized for each customer’s specific Artificial Intelligence (AI), Machine Learning (ML), or High Performance Computing (HPC) applications. Organizations worldwide are demanding new options for their future computing environments, which have the thermal headroom for the next generation of CPUs and GPUs.
Join this webinar to learn how to leverage Supermicro's Universal GPU system to simplify customer deployments, deliver ultimate modularity and customization options for AI to Omniverse environments.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Roadmap Subject to Change
3. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
2015 2016 2017 2018 2019
Competitor
Foundry
14nm
14+Fin
10Fin
12nm
7nm
14Fin
Performance/Watt
3
4. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
m14nm
I/O DIE
I/O
DD
R
DD
R
DD
R
DD
R
∞
DD
R
DD
R
DD
R
DD
R
7nm
CPU
die
7nm
CPU
die
∞
∞
∞
I/O
∞
∞
∞
∞
7nm
CPU
die
7nm
CPU
die
7nm
CPU
die
7nm
CPU
die
7nm
CPU
die
7nm
CPU
die
Monolithic die Multi-die MCM Chiplet
5. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
6. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
✓
All-in feature set includes:
8 Channels of DDR4-3200*
4TB memory capacity
128 lanes PCIe® 4*
SMT & Turbo boost
18G Infinity Fabric™
Secure Memory Encryption
Secure Encrypted Virtualization
* A MOTHERBOARDDESIGNEDFOR 2ND GEN EPYC PROCESSORS IS REQUIRED TO ENABLE ALL FUNCTIONALITY.
SEE ENDNOTE ROM-06
AMD EPYC™ 7F32
8
CORE
AMD EPYC™ 7F52
12/16
CORE
AMD EPYC™ 7F72
24
CORE
32
CORE
48/64
CORE
先進的な機能を備た、シンプルな製品ラインナップ
7. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
See Endnote ROM-741. Best published SPECrate®2017_int_base performance as of 9/29/2020.
Intel
Xeon™
Intel
Xeon™
48C
8. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Intel
Xeon™
See Endnote ROM-742. Both published and estimated SPECrate®2017_int_base performance as of March 2, 2020.
48C
13. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use] P R O D U C T S
See endnotes EPYC-18, ROM-169, ROM-557. *EPYC 7702 - see endnote ROM-517. **A motherboard designed for 2nd Gen EPYC processors is required to enable all available
functionality
15. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
2 x DDR
Memory / IO Die
2 x DDR
2 x DDR 2 x DDR
7F32 8 3.70 3.90 128 3200 180
CORES FREQ BOOST L3 DDR4 TDP
16MB
L3
Z2L2
16MB
L3Z2 L2
16MB
L3
Z2L2
16MB
L3Z2 L2
16MB
L3
Z2L2
16MB
L3Z2 L2
16MB
L3
Z2L2
16MB
L3Z2 L2
※日本AMDで独自にまとめたスライドです
16. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
17. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
I/O
▪ 業界初の PCIe® Gen 4 対応 CPU
▪ PCIe Gen 3に対して2倍の双方向データレート
▪ NVMe、GPUやその他のアクセラレータを直接接続
可能な128レーンのPCIe® Gen4インターフェース
メモリー
▪ 競合製品に対して33%メモリーチャネル数が多い1
▪ CPU当たり最大4TBのDDR4メモリー容量
▪ 最高 3200MHz DDR4 Memoryまでのサポート
4倍 競合製品に対する
I/Oバンド幅2 45% 競合に対するメモリ
バンド幅の向上3
Note:
1. Each AMD EPYC processor has 8 memory channels. Each Intel Xeon Scalable processor has 6 memory channels. 8 – 6 = 2 ÷ 6 = 0.33 AMD EPYC has 33% more memory channels. Class based on industry-standard pin-based (LGA) X86
processors 2. One EPYC 7002 Series has 433% [or: 4 times] more IO bandwidth than one Intel Scalable processors ROM-21
3. AMD EPYC™ 7002 Series processors have 45% more memory bandwidth than Intel Scalable processors in the same class. ROM-11
18. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Intel® Xeon® 2nd Gen Scalable
(“Cascade Lake SP”)
AMD EPYC™ 7001 Series AMD EPYC™ 7002 Series
Max Theoretical Memory BW
per 2P server (1 DR DPC)
12 x DDR4-2933 = 282GB/s 16 x DDR4-2666 = 340GB/s 16 x DDR4-3200* = 410GB/s
AMD EPYC™ Advantage +21% +45%
DIMMDIMM
A
B
C
D
E
F
G
H
広帯域メモリーがパフォーマンスのスケーリングに貢献します
*AMD POR memory speeds in a one DIMM per channel system implementation
AMD EPYC™ 7002 シリーズ
DDR4 1DIMM per Channel Server*
DR RDIMM: 3200 MHz LRDIMM: 3200 MHz
Not supported on all motherboards – see endnotes ROM-06 for details.
20. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
See EndnotesROM-173, ROM-174, ROM-175, ROM-176, ROM-177 and ROM-178
21. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
AMD EPYC™ Tech Docs and White Papers 検索サイト:
https://www.amd.com/en/processors/server-tech-docs/search。
22. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
23. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Source: https://www.amd.com/system/files/documents/AMD-EPYC-7002-AnsysFluent-Scalability-Performance.pdf
24. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Refer from : https://www.amd.com/system/files/documents/amd-epyc-7Fx2-ansys-fluent.pdf
25. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
Rome とAlveo は共にPCIe Gen4で通信し、HPC, ML, VM, Database, Networking NFV and 5G Domains のUse case
においてKeyとなる高スループットを期待した測定。
XDMA-type data (large block size): Host Kernel, FPGA local Memory 間のデータ転送。
QDMA-type data(smaller block packet sizes): DPDK利用で、Host user space, FPGA local Memory間のPacket転送。
共に広帯域を確認。
参照先: https://www.amd.com/system/files/documents/epyc-7fx2-processors-network-performance-using-dpdk.pdf
※日本AMDで独自にまとめたスライドです
26. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
NVIDIA
27. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
28. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
AMD Developer Central (No NDAの技術サイト)
https://developer.amd.com/
AMD EPYC™ Tech Docs and White Papers (各種 ホワイトペーパー、技術資料のページ)
https://www.amd.com/en/processors/server-tech-docs/search
GPUOpen (AMDのGPUに関するページ)
https://gpuopen.com/
AMD EPYC™ & HPE (AMDによるHPE製品に関するページ)
https://www.amd.com/ja/campaigns/amd-and-hpe
29. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
▪ EPYC-07 - Based on June 8, 2018 AMD internal testing of same-architectureproduct ported from 14 to 7 nm technology with similar implementationflow/methodology, using performancefrom SGEMM.
▪ ROM-04 Based on standard calculation method for determiningFLOPS. ROM-04
▪ ROM-06 - Some supported features and functionalityof 2nd Gen AMD EPYC™ processors require a BIOS update from your server manufacturer when used with a motherboard designed for the 1st Gen AMD
EPYC series processor. A motherboard designed for 2nd Gen EPYC processors is required to enable all available functionality.
▪ ROM-07 - Motherboards designed for 1st Gen EPYC processors may not be compatiblewith 2nd Gen AMD EPYC processors with a TDP greater than 200 watts. Contact the server manufacturer to confirm
compatibility.
▪ ROM-342
1-n, 2-socket 2nd Gen EPYC™ 7742 powered server (http://spec.org/cpu2017/results/res2019q4/cpu2017-20191125-20001.pdf) scoring 701 SPECrate®2017_int_base has up to 2.3x the SPECrate® 2017 Integer
(Base) performanceof the highest previous generation score of 304 SPECrate®2017_int_base by a 1-n, 2-socket 1st Gen EPYC™ 7601 powered server result
(http://www.spec.org/cpu2017/results/res2019q2/cpu2017-20190411-11817.html ) as of 1/26/20. ROM-342
▪ ROM-741: Best published SPECrate®2017_int_base performanceas of 9/29/2020.
AMD EPYC 2P processor scores reflect highest scoring processor at each availablecore level (core count is per processor):
AMD EPYC 7742 (64C) score of 701 http://spec.org/cpu2017/results/res2019q4/cpu2017-20191125-20001.pdf
AMD EPYC 7642 (48C) score of 586 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200622-23009.html
AMD EPYC 7542 (32C) score of 437 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200706-23309.html
AMD EPYC 7302 (16C) score of 246 http://spec.org/cpu2017/results/res2020q1/cpu2017-20191220-20441.pdf
AMD EPYC 7262 (8C) score of 135 http://spec.org/cpu2017/results/res2020q2/cpu2017-20200608-22777.html
Intel® Xeon® Scalable 2P processors scores using the highest competitivepart in the Bronze, Silver and Gold metal classes:
Intel Xeon Gold 6258R (28C) score of 397 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200915-23981.html
Intel Xeon Gold 5220R (24C) score of 319 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200608-22594.html
Intel Xeon Silver 4216 (16C) score of 193 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200804-23653.html
Intel Xeon Bronze 3206R (8C) score of 60.1 http://spec.org/cpu2017/results/res2020q2/cpu2017-20200609-22881.html
SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance EvaluationCorporation. See w ww.spec.orgfor more informationROM-741
30. | AMD EPYC | OCT 2020 | univ AI inferenceウェビナー
[AMD Public Use]
▪ ROM-742: Both published and estimated SPECrate®2017_int_base performanceas of March 2, 2020.
AMD EPYC 7742 (64C) score of 355 http://spec.org/cpu2017/results/res2020q1/cpu2017-20191223-20460.pdf
AMD EPYC 7642 (48C) score of 306 http://spec.org/cpu2017/results/res2020q3/cpu2017-20200827-23775.html
AMD EPYC 7542 (32C) score of 223 http://spec.org/cpu2017/results/res2019q4/cpu2017-20191028-19322.pdf
AMD EPYC 7402P (24C) score of 177 http://spec.org/cpu2017/results/res2019q4/cpu2017-20191028-19326.pdf
AMD EPYC 7302P (16C) score of 124 http://spec.org/cpu2017/results/res2019q4/cpu2017-20191125-20005.pdf
AMD EPYC 7262 (8C) score of 68.3 http://spec.org/cpu2017/results/res2020q1/cpu2017-20191220-20437.pdf
Intel® Xeon® Scalable 2P processors scores using the highest competitivepart in the Bronze, Silver and Gold metal classes. Estimates are based on highest score 2P processor result and divided by 1.99x for
conservative estimate:
Intel Xeon Gold 6258R (28C) estimated score of 199 (derived from 2P score of 397/1.99=199) https://spec.org/cpu2017/results/res2020q3/cpu2017-20200915-23981.html
Intel Xeon Gold 5220R (24C) estimated score of 160 (derived from 2P score of 319/1.99=160) http://spec.org/cpu2017/results/res2020q3/cpu2017-20200608-22594.html
Intel Xeon Silver 4216 (16C) score of 87.3 http://spec.org/cpu2017/results/res2019q2/cpu2017-20190524-14372.pdf
Intel Xeon Bronze 3206R (8C) estimated score of 30.2 (derived from 2P score of 60.1/1.99= 30.2)
http://spec.org/cpu2017/results/res2020q2/cpu2017-20200609-22881.html
Results may vary with production system publications. The average of all published Intel results that have a 1P and 2P corresponding number is 2.08x with the maximum being 2.3x and the minimumbeing
1.95x so conservatively AMD estimated using 1.99x scaling. AMD expects Intel published numbersin the near future will likely be higher. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the
Standard PerformanceEvaluation Corporation. See www.spec.orgfor more information. ROM-742
▪ ROM-42 - Based on AMD internal testing of ANSYS FLUENT 19.1, lm6000_16m benchmark, as of July 17, 2019 of a 2P EPYC 7742 powered reference server versus a 2P Intel Xeon Platinum 8280 powered server.
Results may vary.
▪ ROM-49 - Based on AMD internal testing of LSTC LS-DYNA R9.3.0, neon benchmark, as of July 17, 2019 of a 2P EPYC 7742 powered referenceserver versus a 2P Xeon Platinum 8280 powered server. Results may
vary.
▪ ROM-56 - Based on AMD internal testing of Altair RADIOSS 2018, T10M benchmark, as of July 17, 2019 using a 2P EPYC 7742 powered reference server versus a 2P Xeon Platinum 8280 powered server. Results
may vary.
▪ ROM-63 - Based on AMD internal testing of ESI VPS 2018.0, NEON4m benchmark, as of July 17, 2019 using a 2P EPYC 7742 powered reference server versus a 2P Xeon Platinum 8280 powered server. Results
may vary.
▪ ROM-113
AMD Internal testing as of 30July2019 of a 2P AMD EPYC 7742 powered reference platform versus a 2P Intel Platinum 8280 powered production server, on GROMACS version 2019.3 benchmark. Results may
vary. ROM-113