AHPC 2020 sipearl.com European-processor-initiative.eu - Klosterneuburg 21-02-2020 - European ...
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P. Notton, Bio : EPI G.M. / SiPearl CEO • Academic • Engineer, Supelec (FR) (1993, Major in Signal Processing) • Executive MBA Essec (FR) & Mannheim (DE) (2008) • Business https://www.linkedin.com/in/pnotton/ • 1994-2000: HW, SW, Design, Integration for Digital TV - Thomson, Canal+ - France, USA • 2000-2005: Support, Marketing- LSI Logic, now Avago – Zarlink Semi., now Intel. France, UK • 2006-2014: VP Marketing, Associate, SetTopBox and TV, Mstar Semi. (now Mediatek). UK, Taiwan. From Startup to IPO and M&A with Mediatek of US$4B • #1 WW on TV (>200Mu per year). #3 WW on STB. 1st Secure chips in Asia. • 2014-2016: ST Micro, Group VP and GM Consumer Products Division (2400pers, WW P&L). • STB (Audio/Video/CPU/GPU/Security/Heavy SW and ecosystem) • Consumer Asics • 150mm2 Docis3.1 (28FD) / 90mm2 UHD STB (28FD) / 40mm2 HD STB (28FD) Directly involved or in charge of more than 1 Billion chips with an $4-$20 ASP Left an Exec position in ST to drive the next big Adventure in Europe and lead the future European Intel
Semiconductor industry background Market Size Around $400B and growing Intel : $70B in sales Selected Numbers TSMC (#1 foundry) : Market cap = US$B260 ASML (Tools for foundries) : Market cap = US$70B (google “Trump ASML Huawei”) Copyright © SiPearl 2019 Event/Recipient/Place/Date
EC expectations from ICT-42 & EPI value proposal Technology drive EPI expected impacts (as per EC request) High Performance Computing needs for Exascale ▶ Get a world class processor machines and beyond for the Exascale machines supplied by EuroHPC in 2023 Connected mobility, Advanced Driver ▶ Develop a sustainable Assistance Systems (ADAS) & Edge computing needs beyond 2023 economic model EPI is an H2020 program but with Servers, Cloud, Edge Low Power CPU needs industrial mindset & product delivery oriented Business drive
THE EPI STORY, PART 3
THE EPI STORY, PART 4
SO NOW LET’S HAVE THIS EU SOLUTION READY !
WHAT IS BEHIND EPI AND WHERE ARE WE GOING ? Copyright © European Processor Initiative 2020. AHPC2020
27 EPI PARTNERS
SIPEARL = EPI FABLESS COMPANY
ONE OF THE LONG TERM VISION: FAR BEYOND HPC: END2END SECURITY - FROM THE AUTOMOTIVE SYSTEM TO THE CLOUD Secure channel
WHAT ARE THE CHALLENGES ? (BEYOND THE INITIAL « MISSION IMPOSSIBLE » ITEMS) Copyright © European Processor Initiative 2020. AHPC2020
What is “really” good Intel bought MobileEye for $15B (2017) Semiconductor Companies value Intel bought Habana Labs for $2B (2019) Nvidia bought Mellanox for $6.9B (2019) Microprocessor is THE big cookie in terms of engineering Very complex development In Semiconductor engineering Top Notch technology … and Europe is out of it , for finished goods (at least up to now) Part of our Key Words CyberSecurity, BigData, AI, Sovereignty, DeepLearning, Quantum, Adas, Edge EU (>1B€) budget for EuroHPC Our supporters Actual geo-politics in favour of data protection and sovereignty Copyright © SiPearl 2019 Event/Recipient/Place/Date
What is “tough” While Research has…. … tons of idea to rebuild the world … working in a different time dimension Combined “Research” and Semiconductor industry is… “Industrial project” … over expensive and not doing anything for free … not really “startup” centric in Europe … seen as technology for “grand’pa” and dirty (i.e, let’s do SW and Web SW) You burn cash for years The fun of “deep-tech” like Product may work semiconductor Product may have the expected performance Product may have a customer Investors are running away… in Europe The fun of “semiconductor But in USA over the past years, $4B invested for AI hardware…. (not to mention SW budget) investment” China invested $150B to develop a real semiconductor industry European market Is wide open to non-European competitors (example of solar panels) The budget EPI EU H2020 budget has to be completed with private budget (>100M€+) Copyright © SiPearl 2019 Event/Recipient/Place/Date
But it happens…. Closure of 1st financial Q2-2020 round Exec team is joining SiPearl Q1-2020 Major announcement with Arm SiPearl becomes Sept-2019 EPI industrial hand 6,2M€ raised June-2019 SiPearl is incorporated Dec-2018 EPI kick-off EPI kick off 80M€ H2020 allocations 80M€ allocation IP / Architecture initiated European Processor Initiative 2017-2018 consortium setup Copyright © SiPearl 2019 Event/Recipient/Place/Date
And the EU (and far beyond) press is following us… 22| 06/05/2020 | © SIPEARL Project Confidentiel – Peut evoluer pour amélioration
BUT, WHAT’S THE TECH’ AND HPC STRATEGY BEHIND EPI ? Copyright © European Processor Initiative 2020. AHPC2020
Cambrian explosion Achieving performance through specialization 5/6/2020 Courtesy Steve Scott Cray CTO
TOP10 OVER THE LAST 10 YEARS 2009 – Nov. 2014 – Nov. 2019 – Nov. (Post) Exascale CPU only 9 5 2 0 CPU + ACC. 1 5 8 10
WHY? SOME OBVIOUS REASONS… Linpack AI
END OF MOORE’ LAW 1/ Gate density (million gates/mm2) 80.00 70.00 3 nm 60.00 Cost & density increase x11 in gate 50.00 density 5 nm 40.00 30.00 7 nm 20.00 10 nm 16 nm 10.00 28 nm AI 40 nm 65 nm 0.00 Geometry (logarithmetics)
END OF MOORE’ LAW 2/ Energy per switch (femto Joule /gate switch) 10.00 /9 in energy per switch 65 nm Power figure increase 1.00 40 nm 28 nm 16 nm 10 nm 0.10 7 nm 5 nm 3 nm AI 0.01
END OF MOORE’ LAW & NEEDS FOR DATA PROCESSING 3/ More Computing Power: → Higher density (more gates) Basic Needs Less power consumption → Newer silicon process per gate Impact 1 Development cost higher and higher to cover density need and power consumption Impact 2 Find more money, engineers and development time Impact 3 Or be creative and move to 2.5D design ? Copyright © SiPearl 2019 Event/Recipient/Place/Date
HPC BEFORE ARTIFICIAL INTELLIGENCE Theoretical model HPC Application Results
HPC WITH ARTIFICIAL INTELLIGENCE Theoretical model HPC Application Results Results Big Data AI
HPC & AI AT EXASCALE: IT’S ALL ABOUT WORKFLOWS (1/2) Edge Edge X86 Computing Computing X86 Public Clouds Realtime data Realtime data processing processing Theoritical model HPC Application SUMMIT sunway taihulight FUGAKU Results Results Big Data AI
HPC & AI AT EXASCALE: IT’S ALL ABOUT WORKFLOWS (2/2) Edge Edge Computing Computing Public Clouds Realtime data Realtime data processing processing European approach ✓ EU Architecture ✓ EU HW ✓ EU SW ✓ Handle all complexity the others don’t know how to ? Legacy X86 RHEA (ARM) RHEA +ACC. RHEA + GPU RHEA + *** (ARM+Risc-V) (ARM+Nvidia/AMD) (ARM+Common Platform)
HPC & AI AT EXASCALE: IT’S ALL ABOUT WORKFLOWS (2/2) Edge Edge Computing Computing Public Clouds Realtime data Realtime data processing processing European approach ✓ EU Architecture ✓ EU HW ✓ EU SW ✓ Handle all complexity the others don’t know how to Compiler CPU CPU CPU CPU CPU Legacy X86 RHEA (ARM) RHEA +ACC RHEA + GPU RHEA + *** (ARM+Risc-V) (ARM+Nvidia/AMD) (ARM+Common Platform) ACC. A ACC. B ACC. C ACC. D ACC. E
THE DEVELOPER / USER STANDPOINT Compiler (unified front-end) OPENMP 5.0 / OpenCL / OPENACC / OPENAPI Specific backend Target A Target B Target C Target D Target E RHEA RHEA RHEA RHEA RHEA ACC. A ACC. B ACC. C ACC. D ACC. E ACC. A ACC. B ACC. C ACC. D ACC. E ACC. A ACC. B ACC. C ACC. D ACC. E ACC. A ACC. B ACC. C ACC. D ACC. E
EVIDENCE: INTEL OVERALL STRATEGY IN HPC, CLOUD, EDGE Intel own accelerator developments: CPU - Accelerator interface: - GPU (Artic Sound) - CXL - CSA Accelerator companies acquired by Intel or with intel in their Capital, in the last years: X86 - Altera - Habana - Mobileye - Untether AI* (Toronto, Ontario, Canada) User environment: - SambaNova Systems* (Palo Alto, - Intel Compiler California, U.S.) - OneAPI - Zhuhai EEasy Technology Co. Ltd.* (Zhuhai, China) - …
LESSONS LEARNED PROFILE FOR EXASCALE SOLUTIONS Main changes The CPU has to be well balanced - Holistic view of data from IoT to Supercomputers. - peak performance is not important - Hybrid in-house / cloud - Agility (FP64 for HPC, BF16 for deep learning) is crucial - Workflow everywhere - Data transfer is crucial ➔ Cover day to day needs and for all compute not fitting well in ACC Modularity is a must have. One does not fit all Keep overall architecture simple Several accelerators, typically one per module ➔ one CPU to unify all accelerators Performance comes from accelerators Keep end user life simple - 1 CPU only - LLVM + GCC + OPENMP 5.0 - Keep it open!
TECHNOLOGY & ROADMAP Copyright © European Processor Initiative 2020. AHPC2020
COMMON PLATFORM VISION: FEDERATE ACCELERATORS Interposer function Value proposition +60 potential ACC. (non exhaustive) SIPEARL RHEA chip Embedded memory (like HBM) HBM Chiplet Low cost chip from AI start-ups HBM AI Chiplet Chiplet AI Start-up Crypto Quantum or accelerator Accelerator photonics accelerator Interposer for integration THE COMMON OPEN PLATFORM IS THE EUROPEAN STANDARD FOR MANAGING EXTREME SPECIALIZATION
CONCEPT OF COMMON PLATFORM : INTERPOSER & MULTI-CHIPLET HBM HBM HBM HBM Chiplet #2 Chiplet #1 Silicon interposer (passive) Package substrate
CONCEPT OF COMMON PLATFORM : INTERPOSER & MULTI-CHIPLET CPU Accelerator(s) HBM HBM HBM Chiplet #1 Chiplet #2 HBM 65mm Silicon interposer (passive) Package substrate 65mm
HETEROGENEOUS INTEGRATION I/O coherent Accelerators Traditional GP-GPU, interconnect and to the storage PCIe/CXL links PCIe links Package substrate inter-chiplet links memorires over substrate HBM Coherent EST Common chiplet Platform Design memories DDR CCIX links via PCB Possible location for User functions Coherent Commerical FPGA chips accelerator or CCIX enabled companions chips (accelerator, NIC or other EST chips) 42
GENERAL PURPOSE PROCESSOR (GPP) AND COMMON OPEN ARCHITECTURE CCIX (RHEA) Kalray PCIe gen5 external CCIX & CXL (CRONOS) links links ZEUS (ARM) links Dedicated to adjacent chiplets cryptographic EPI ZEUS Common ZEUS Platform ZEUS MPPA open vision ASIC IP is to integrate most of EPI IP’s eFPGA ZEUS ZEUS development ZEUS EPAC eFPGA ASIC HBM 2e memories Menta (FR) NoC DDR5 ARM memories
CPU (RHEA) DESIGNS 44
EPAC – RISC-V ACCELERATOR FOUNDATIONS VPU EPAC Bridge to GPP STX VRP Bridge to GPP THIS IS ONE OF THE FUNDAMENTAL RESEARCH DIMENSION IN EPI !!! IT WILL END ONCE MATURE INTO A FULLY DEDICATED CHIP
ROADMAP ZEUS Core TITAN Acc. 5nm ZEUS Core N6 2022 – H2 EU Exascale Supercomputer Edge-HPC (autonomous vehicle) with CRONOS & TITAN 2021 – H2 E4 - PCIe board (WS compatible) ATOS - BullxSequana Board with RHEA β version
CONCLUSION
EUROPEAN APPROACH FOR (POST) EXASCALE CHALLENGES Technology Open Ecosystem (holistic) Business pragmatism → →
TO MEET THE TEAMS TO KNOW MORE ABOUT EP AND IT’S ECOSYSTEM TO KNOW MORE ABOUT SILICON TECHNOLOGIES FOR DATA PROCESSING Save the date 1 EPI Forum st March, 16-17 , 2020 th
Thank You for your attention sipearl.com European-processor-initiative.eu
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