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FRAMEWORK PARTNERSHIP AGREEMENT IN EUROPEAN LOW-POWER
MICROPROCESSOR TECHNOLOGIES
ZON 2020 RESEARCH AND INNOVATION
PROGRAMME UNDER GRANT AGREEMENT NO 826647
1
EUROPEAN PROCESSOR INITIATIVE
 High Performance General Purpose Processor for HPC
 High-performance RISC-V based accelerator
 Computing platform for edge and autonomous cars
 Will also target the AI, Big Data and other markets in order to be economically
sustainable
2
Overall objective
Develop a complete EU designed high-end
microprocessor, addressing Supercomputing and
edge-HPC segments
SCALABILITY ALLOWS WIDE MARKET POTENTIAL COVERAGE
3
Artificial Intelligence
& Big Data
Safety
Critical
Industry 4.0
& Robotics
Space
Automotive
Servers
& Cloud
HPC
Core
Drivers
sovereignty
EPI KEY ELEMENTS & GUIDELINES
 Hardware
 Silicon

 Software
 Firmware
 To Applications
 Security
 Everywhere
5
Co-Design
 HPC
 Automotive
 eHPC
FROM IPR TO PRODUCTS
FROM EPI TO SIPEARL
 SIPEARL is
 Incorporated in EU (France)

 the Fabless company
 licence of IPs from the partners
 develop own IPs around it
 licence the missing components from the market

 generate revenue from both the HPC, IA, server and eHPC
markets
 integrate, market, support & sell the chip
 work on the next generations
6
ROADMAP & TECHNOLOGY
7
ROADMAP
8
2021 – H2
E4 - PCIe board (WS compatible)
ATOS - BullxSequana Board
with RHEA β version
ZEUS Core
6nm
ZEUS Core
TITAN Acc.
5nm
2022 – H2
EU Exascale Supercomputer
Edge-HPC (autonomous vehicle)
with CHRONOS &TITAN
GPP AND COMMON ARCHITECTURE
9
ZEUS MPPA
eFPGA
FPGA
FPGA
ZEUS ZEUS
ZEUS ZEUS EPAC
HBM
memories
DDR
memories
PCIe gen5
links
HSL
links
D2D links
to adjacent chiplets
 EPAC - EPI Accelerator (TITAN)
 MPPA - Multi-Purpose Processing Array
 eFPGA - embedded FPGA
 Cryptographic ASIC (EU Sovereignty)
EPAC RISC-V ACCELERATOR
10
EPAC
STX
VPU
VRP
Bridge to GPP
Bridge to GPP
 EPAC TITAN = EPI Accelerator
 VPU Vector Processing Unit
 STX Stencil/Tensor accelerator
COMMON PLATFORM VISION: WE ACCELERATE ACCELERATORS
Interposer function Value proposition +60 potential customers
HBM
Chiplet
AI
Chiplet
HBM
Chiplet
Embedded memory (like
HBM)
Interposer for integration
Crypto
Accelerator
Quantum or
photonics
accelerator
AI Start-up
accelerator
Low cost chip from AI
start-ups
SIPEARL RHEA chip
Copyright © SiPearl 2019 Event/Recipient/Place/Date
COMMON PLATFORM HAS THE POTENTIAL TO BE COME THE
EUROPEAN I/O STANDARD DATA-PROCESSING
SOFTWARE
TECHNOLOGY
12
Partnership
is key
HOLISTIC APPROACH
 Build on successful existing approaches
 Node administration ➔ ARM +Open BMC
 Operating system ➔ Linux
 Security by design ➔ protect data (GPRD)
 Compilers ➔ GCC & LLVM
 Libraries (HPC / AI / Edge / Automotive)
 Development environment
 GPP & ACC ➔ OpenMP
13
 On EPI own budgets
 EuroHPC RIA (calls 2019)
 Prepare EU Exascale EuriHPC landing
EPI SOFTWARE AMBITIONS IN HPC
 Complement the already existing software to
supply an entire HPC production stack
 Deployment/administrative side
 Securing the node
 Power managing the node
 Booting the node
 (Remote) controlling the node
 Running a Linux distribution on the node
 Managing various nodes in a large system
 Monitoring & accounting various nodes in a large
system
 End-user side
 Compiling software for the General Purpose
Processor
 Compiling software for the Accelerators
 Combining the use of GPP & Accelerators in a
software
 Leveraging standard libraries tuned for the node
 Running the software on a node
 Running the software on multiple nodes in a system
 Automotive (edge-HPC) requirements
 Security, power
 Predictable performance for autonomous driving
 Multiple inputs, complex models
14
ARM WW HPC
-06-26 15
CPU & server
manufacturer,
upcoming
“Fugaku”
system
CPU
manufacturer,
2 server
manufacturers,
“Astra” system at
Sandia,
upcoming system
at Stony Brook
CPU & server
manufacturer
[geopolitical
issues regarding
the license]
Upcoming CPU
manufacturer,
Server manufacturer,
system at CEA, UK,
MontBlanc, EPI
STANDING ON THE SHOULDERS OF SUCCESSFUL EUROPEAN PROJECTS
 Mont-Blanc 3
helped create
and stabilize
most of the
foundations
of a full HPC
software
stack on Arm
-06-26 16
EPI ECOSYSTEM
(INCLUDING POTENTIAL OUTSIDE PARTNERS)
17
EPI Reference
Hardware
Linux Operating System
Programming tools &
Libraries:
LLVM/GCC with
OpenMP; OpenMPI;
FFTW; BLIS;
OpenBLAS, …
Security,
Low-level software,
power management
Automotive
eHPC
software
support
Co-design
exploration space
Full HPC
Environment
for the Reference
Platform
EPI
Processor
… and those supporting the ecosystem & EPI, including
EPI partners, external partners & OpenSource contributors
Lustre
EXPANDING TO RISC-V
 The RISC-V architecture is used extensively in EPI

 It is fully open and not reliant on one company
for its definition
 The software ecosystem is not yet has
developed as the Arm one
 Mont-Blanc projects were instrumental in maturing
the Arm ecosystem
 EPI software work includes work to bring RISC-V
closer to the need of a production-ready
general-purpose processor
 MPI work on RISC-V & hybrid
 OpenMP runtime on RISC-V
 For offloading & native mode
 Compiler work
 Including OpenMP SIMD
 Using RISC-V in the industrial world as a full-
fledged, linux-capable processor and not just a
microcontroller
 Real-life use to strengthen the software
18
END-USER : GPP/ACC SEAMLESS USAGE
 Compiling, combining
 Leveraging work from existing Open Source
projects: GNU, LLVM
 Choosing open standard over proprietary
solutions
 Emphasis on OpenMP in the project
 OpenVX for automotive
 Working with external partners
 Arm work in LLVM & libraries for the GPP
 EPI adding missing pieces to fully exploit the
Common Platform design
 Better vectorization in EPAC
 OpenMP offloading
 OpenMP SIMD for EPAC
20
for (int i = 0; i < n ; i++) {
work_done_on_gpp(i);
#pragma omp target
work_done_on_epac(i);
}
GPP
EPAC
NoC
GPP work
from Open
Source,
external
partners, …
Accelerator work from
Open Source
Open Standard:
OpenMP offloading
END-USER
21
#pragma omp simd
for (int i = 0 ; i < n ; i++) {
green_work(i);
if (cond(i)) {
blue_work(i);
} else {
orange_work(i);
}
purple_function(i);
}
#pragma omp simd declare
void purple_function(int i) {
(…)
}
i=0 i=1 i=0 i=1
Open Standard:
OpenMP SIMD
fully SIMD
vectorized
masked
SIMD
OpenMP
SIMD
“declare”
to generate
vector
function call
&
vector
function body
State-of-the-art
(SSE,AVX, …)
Enabled by
ARM SVE,
RISC-V “V”
Enabled by
OpenMP
4.x
CONCLUSION
24
EPI NEXT CHALLENGES
Build on existing IP and w.
communities
 Risk minimized by leveraging existing work
 Open Source, previous projects, external
partners
 Future-proofed by favoring open standards &
simpler programming models
 Legacy taken into account to widen the
potential user-base
Close the gap between R&I and
industrial products

while fulfilling its needs for Research and
Innovation
 We need to be ready for production end of 2021
 Face a WW class competition
 We will not be used because we are
best and cost effective solution
 Re-create a real ecosystem for deep node
microelectronics:
 Engineers


25
www.european-processor-initiative.euw
@EuProcessor
European Processor Initiative
European Processor Initiative
THANK YOU FOR YOUR ATTENTION
26

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An Update on the European Processor Initiative

  • 1. FRAMEWORK PARTNERSHIP AGREEMENT IN EUROPEAN LOW-POWER MICROPROCESSOR TECHNOLOGIES ZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO 826647 1
  • 2. EUROPEAN PROCESSOR INITIATIVE  High Performance General Purpose Processor for HPC  High-performance RISC-V based accelerator  Computing platform for edge and autonomous cars  Will also target the AI, Big Data and other markets in order to be economically sustainable 2 Overall objective Develop a complete EU designed high-end microprocessor, addressing Supercomputing and edge-HPC segments
  • 3. SCALABILITY ALLOWS WIDE MARKET POTENTIAL COVERAGE 3 Artificial Intelligence & Big Data Safety Critical Industry 4.0 & Robotics Space Automotive Servers & Cloud HPC Core Drivers sovereignty
  • 4. EPI KEY ELEMENTS & GUIDELINES  Hardware  Silicon   Software  Firmware  To Applications  Security  Everywhere 5 Co-Design  HPC  Automotive  eHPC
  • 5. FROM IPR TO PRODUCTS FROM EPI TO SIPEARL  SIPEARL is  Incorporated in EU (France)   the Fabless company  licence of IPs from the partners  develop own IPs around it  licence the missing components from the market   generate revenue from both the HPC, IA, server and eHPC markets  integrate, market, support & sell the chip  work on the next generations 6
  • 7. ROADMAP 8 2021 – H2 E4 - PCIe board (WS compatible) ATOS - BullxSequana Board with RHEA β version ZEUS Core 6nm ZEUS Core TITAN Acc. 5nm 2022 – H2 EU Exascale Supercomputer Edge-HPC (autonomous vehicle) with CHRONOS &TITAN
  • 8. GPP AND COMMON ARCHITECTURE 9 ZEUS MPPA eFPGA FPGA FPGA ZEUS ZEUS ZEUS ZEUS EPAC HBM memories DDR memories PCIe gen5 links HSL links D2D links to adjacent chiplets  EPAC - EPI Accelerator (TITAN)  MPPA - Multi-Purpose Processing Array  eFPGA - embedded FPGA  Cryptographic ASIC (EU Sovereignty)
  • 9. EPAC RISC-V ACCELERATOR 10 EPAC STX VPU VRP Bridge to GPP Bridge to GPP  EPAC TITAN = EPI Accelerator  VPU Vector Processing Unit  STX Stencil/Tensor accelerator
  • 10. COMMON PLATFORM VISION: WE ACCELERATE ACCELERATORS Interposer function Value proposition +60 potential customers HBM Chiplet AI Chiplet HBM Chiplet Embedded memory (like HBM) Interposer for integration Crypto Accelerator Quantum or photonics accelerator AI Start-up accelerator Low cost chip from AI start-ups SIPEARL RHEA chip Copyright © SiPearl 2019 Event/Recipient/Place/Date COMMON PLATFORM HAS THE POTENTIAL TO BE COME THE EUROPEAN I/O STANDARD DATA-PROCESSING
  • 12. Partnership is key HOLISTIC APPROACH  Build on successful existing approaches  Node administration ➔ ARM +Open BMC  Operating system ➔ Linux  Security by design ➔ protect data (GPRD)  Compilers ➔ GCC & LLVM  Libraries (HPC / AI / Edge / Automotive)  Development environment  GPP & ACC ➔ OpenMP 13  On EPI own budgets  EuroHPC RIA (calls 2019)  Prepare EU Exascale EuriHPC landing
  • 13. EPI SOFTWARE AMBITIONS IN HPC  Complement the already existing software to supply an entire HPC production stack  Deployment/administrative side  Securing the node  Power managing the node  Booting the node  (Remote) controlling the node  Running a Linux distribution on the node  Managing various nodes in a large system  Monitoring & accounting various nodes in a large system  End-user side  Compiling software for the General Purpose Processor  Compiling software for the Accelerators  Combining the use of GPP & Accelerators in a software  Leveraging standard libraries tuned for the node  Running the software on a node  Running the software on multiple nodes in a system  Automotive (edge-HPC) requirements  Security, power  Predictable performance for autonomous driving  Multiple inputs, complex models 14
  • 14. ARM WW HPC -06-26 15 CPU & server manufacturer, upcoming “Fugaku” system CPU manufacturer, 2 server manufacturers, “Astra” system at Sandia, upcoming system at Stony Brook CPU & server manufacturer [geopolitical issues regarding the license] Upcoming CPU manufacturer, Server manufacturer, system at CEA, UK, MontBlanc, EPI
  • 15. STANDING ON THE SHOULDERS OF SUCCESSFUL EUROPEAN PROJECTS  Mont-Blanc 3 helped create and stabilize most of the foundations of a full HPC software stack on Arm -06-26 16
  • 16. EPI ECOSYSTEM (INCLUDING POTENTIAL OUTSIDE PARTNERS) 17 EPI Reference Hardware Linux Operating System Programming tools & Libraries: LLVM/GCC with OpenMP; OpenMPI; FFTW; BLIS; OpenBLAS, … Security, Low-level software, power management Automotive eHPC software support Co-design exploration space Full HPC Environment for the Reference Platform EPI Processor … and those supporting the ecosystem & EPI, including EPI partners, external partners & OpenSource contributors Lustre
  • 17. EXPANDING TO RISC-V  The RISC-V architecture is used extensively in EPI   It is fully open and not reliant on one company for its definition  The software ecosystem is not yet has developed as the Arm one  Mont-Blanc projects were instrumental in maturing the Arm ecosystem  EPI software work includes work to bring RISC-V closer to the need of a production-ready general-purpose processor  MPI work on RISC-V & hybrid  OpenMP runtime on RISC-V  For offloading & native mode  Compiler work  Including OpenMP SIMD  Using RISC-V in the industrial world as a full- fledged, linux-capable processor and not just a microcontroller  Real-life use to strengthen the software 18
  • 18. END-USER : GPP/ACC SEAMLESS USAGE  Compiling, combining  Leveraging work from existing Open Source projects: GNU, LLVM  Choosing open standard over proprietary solutions  Emphasis on OpenMP in the project  OpenVX for automotive  Working with external partners  Arm work in LLVM & libraries for the GPP  EPI adding missing pieces to fully exploit the Common Platform design  Better vectorization in EPAC  OpenMP offloading  OpenMP SIMD for EPAC 20 for (int i = 0; i < n ; i++) { work_done_on_gpp(i); #pragma omp target work_done_on_epac(i); } GPP EPAC NoC GPP work from Open Source, external partners, … Accelerator work from Open Source Open Standard: OpenMP offloading
  • 19. END-USER 21 #pragma omp simd for (int i = 0 ; i < n ; i++) { green_work(i); if (cond(i)) { blue_work(i); } else { orange_work(i); } purple_function(i); } #pragma omp simd declare void purple_function(int i) { (…) } i=0 i=1 i=0 i=1 Open Standard: OpenMP SIMD fully SIMD vectorized masked SIMD OpenMP SIMD “declare” to generate vector function call & vector function body State-of-the-art (SSE,AVX, …) Enabled by ARM SVE, RISC-V “V” Enabled by OpenMP 4.x
  • 21. EPI NEXT CHALLENGES Build on existing IP and w. communities  Risk minimized by leveraging existing work  Open Source, previous projects, external partners  Future-proofed by favoring open standards & simpler programming models  Legacy taken into account to widen the potential user-base Close the gap between R&I and industrial products  while fulfilling its needs for Research and Innovation  We need to be ready for production end of 2021  Face a WW class competition  We will not be used because we are best and cost effective solution  Re-create a real ecosystem for deep node microelectronics:  Engineers   25