International Conference Russian Supercomputing Days. September 25-26, 2017, Moscow

Similar documents
April 2 nd, Bob Burroughs Director, HPC Solution Sales

It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist

Linear Algebra for Modern Computers. Jack Dongarra

Dan Stafford, Justine Bonnot

CSE5351: Parallel Procesisng. Part 1B. UTA Copyright (c) Slide No 1

It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist

Trends in HPC (hardware complexity and software challenges)

It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist

MPI RUNTIMES AT JSC, NOW AND IN THE FUTURE

University at Buffalo Center for Computational Research

HPC-CINECA infrastructure: The New Marconi System. HPC methods for Computational Fluid Dynamics and Astrophysics Giorgio Amati,

Introduction: Modern computer architecture. The stored program computer and its inherent bottlenecks Multi- and manycore chips and nodes

HPC Cineca Infrastructure: State of the art and towards the exascale

HPC Architectures. Types of resource currently in use

COMPUTING ELEMENT EVOLUTION AND ITS IMPACT ON SIMULATION CODES

The Era of Heterogeneous Computing

HPC future trends from a science perspective

Introduction CPS343. Spring Parallel and High Performance Computing. CPS343 (Parallel and HPC) Introduction Spring / 29

Accelerating Insights In the Technical Computing Transformation

Trends in systems and how to get efficient performance

Performance of deal.ii on a node

INSPUR and HPC Innovation

Making Supercomputing More Available and Accessible Windows HPC Server 2008 R2 Beta 2 Microsoft High Performance Computing April, 2010

INSPUR and HPC Innovation. Dong Qi (Forrest) Oversea PM

Introduction to High Performance Computing. Shaohao Chen Research Computing Services (RCS) Boston University

The Mont-Blanc approach towards Exascale

European energy efficient supercomputer project

Steve Scott, Tesla CTO SC 11 November 15, 2011

Accelerating HPC. (Nash) Dr. Avinash Palaniswamy High Performance Computing Data Center Group Marketing

Benchmark results on Knight Landing (KNL) architecture

OpenCL Vectorising Features. Andreas Beckmann

Inauguration Cartesius June 14, 2013

MICROWAY S NVIDIA TESLA V100 GPU SOLUTIONS GUIDE

Exploring Emerging Technologies in the Extreme Scale HPC Co- Design Space with Aspen

It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center

GPU Architecture. Alan Gray EPCC The University of Edinburgh

Exascale: challenges and opportunities in a power constrained world

Computing architectures Part 2 TMA4280 Introduction to Supercomputing

TensorFlow* on Modern Intel Architectures Jing Huang and Vivek Rane Artificial Intelligence Product Group Intel

It s a Multicore World. John Urbanic Pittsburgh Supercomputing Center Parallel Computing Scientist

Lecture (02) x86 programming 1

It's the end of the world as we know it

EPYC Offers x86 Compatibility

NERSC Site Update. National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory. Richard Gerber

Umeå University

Umeå University

HETEROGENEOUS COMPUTE INFRASTRUCTURE FOR SINGAPORE

Atos announces the Bull sequana X1000 the first exascale-class supercomputer. Jakub Venc

The Mont-Blanc Project

GPU computing at RZG overview & some early performance results. Markus Rampp

HPC Technology Trends

Hybrid Architectures Why Should I Bother?

Hybrid KAUST Many Cores and OpenACC. Alain Clo - KAUST Research Computing Saber Feki KAUST Supercomputing Lab Florent Lebeau - CAPS

LS-DYNA Performance Benchmark and Profiling. October 2017

Mathematical computations with GPUs

HPC. Accelerating. HPC Advisory Council Lugano, CH March 15 th, Herbert Cornelius Intel

Chelsio Communications. Meeting Today s Datacenter Challenges. Produced by Tabor Custom Publishing in conjunction with: CUSTOM PUBLISHING

ORAP Forum October 10, 2013

Towards Exascale Computing with the Atmospheric Model NUMA

Our Workshop Environment

microcode revision guidance June

Overview. Idea: Reduce CPU clock frequency This idea is well suited specifically for visualization

ACCELERATED COMPUTING: THE PATH FORWARD. Jen-Hsun Huang, Co-Founder and CEO, NVIDIA SC15 Nov. 16, 2015

Intel Advisor XE Future Release Threading Design & Prototyping Vectorization Assistant

Compiling for Scalable Computing Systems the Merit of SIMD. Ayal Zaks Intel Corporation Acknowledgements: too many to list

Fabio AFFINITO.

John Hengeveld Director of Marketing, HPC Evangelist

Energy Efficient K-Means Clustering for an Intel Hybrid Multi-Chip Package

The Future of GPU Computing

in Action Fujitsu High Performance Computing Ecosystem Human Centric Innovation Innovation Flexibility Simplicity

TECHNICAL OVERVIEW ACCELERATED COMPUTING AND THE DEMOCRATIZATION OF SUPERCOMPUTING

New HPC architectures landscape and impact on code developments Massimiliano Guarrasi, CINECA Meeting ICT INAF Catania, 13/09/2018

HPC Capabilities at Research Intensive Universities

GPU COMPUTING AND THE FUTURE OF HPC. Timothy Lanfear, NVIDIA

Technologies for Information and Health

PART I - Fundamentals of Parallel Computing

Motivation Goal Idea Proposition for users Study

Digital Signal Processor Supercomputing

The Effect of In-Network Computing-Capable Interconnects on the Scalability of CAE Simulations

Parallel and Distributed Programming Introduction. Kenjiro Taura

Lenovo Technical / Strategy Update

HPC Current Development in Indonesia. Dr. Bens Pardamean Bina Nusantara University Indonesia

Accelerator cards are typically PCIx cards that supplement a host processor, which they require to operate Today, the most common accelerators include

Outline. Motivation Parallel k-means Clustering Intel Computing Architectures Baseline Performance Performance Optimizations Future Trends

Introduction to Parallel and Distributed Computing. Linh B. Ngo CPSC 3620

The Future of High Performance Interconnects

Looking beyond IEEE 13th System of Systems Engineering Conference - SoSE 2018 Sandro D'Elia -

HPCF Cray Phase 2. User Test period. Cristian Simarro User Support. ECMWF April 18, 2016

CPU-GPU Heterogeneous Computing

The Heterogeneous Programming Jungle. Service d Expérimentation et de développement Centre Inria Bordeaux Sud-Ouest

Managing HPC Active Archive Storage with HPSS RAIT at Oak Ridge National Laboratory

HPE ProLiant. The right compute for the right workload

Memory Bound Computing

Intel Architecture for Software Developers

Intel Many Integrated Core (MIC) Matt Kelly & Ryan Rawlins

GPU Acceleration of Matrix Algebra. Dr. Ronald C. Young Multipath Corporation. fmslib.com

Copyright 2017 Intel Corporation

Many-core Processor Programming for beginners. Hongsuk Yi ( 李泓錫 ) KISTI (Korea Institute of Science and Technology Information)

HPC Architectures evolution: the case of Marconi, the new CINECA flagship system. Piero Lanucara

Fra superdatamaskiner til grafikkprosessorer og

Transcription:

International Conference Russian Supercomputing Days September 25-26, 2017, Moscow

International Conference Russian Supercomputing Days Supported by the Russian Foundation for Basic Research Platinum Sponsor Educational Partner: Platinum Sponsors: Golden Sponsor: Silver Sponsors: In Cooperation with: Conference Operator: September 25-26, 2017, Moscow

Russian Academy of Sciences: President Elections (September, 25 th -29 th ) Е.Н.Каблов Г.Я.Красников Р.И.Нигматулин В.Я.Панченко А.М.Сергеев

World Supercomputing News (IDC-Projected Exascale Systems Details) Hyperion (IDC) Paints a Bullish Picture of HPC Future, Hyperion, 2017

World Supercomputing News (IDC-Projected Exascale Investment Levels) Hyperion (IDC) Paints a Bullish Picture of HPC Future, Hyperion, 2017

World Supercomputing News

Commission on Supercomputing Technologies (Ministry of Telecom and Mass Communications)

Top50 of the most powerful Russian supercomputers (top50.supercomputers.ru) NVIDIA DGX-1 в Top50:

The most Green Supercomputing Platforms (June 2017) [Gflops/Watt] Courtesy of E.Strohmaier, LBNL, USA

DL / AI Deep Learning / Artificial Intelligence

World Supercomputing News, Trends, Perspectives (Deep Learning / Artificial Intelligence deluge ) DL: from prediction to active control! DL/AI: from double and single precision to half-precision (16 bits: exponent (5 bits), fraction (10 bits), sign (1 bit) ): AI-precision, AI-flops, AI-Eflops (130 Pflops in Japan ). AI: the notion should be used carefully, imitation Intelligence Intelligence achieved through artificial means! AI/DL haven t shown exascale computing demand as some scientific projects do. HP DP DP DP DP DP (edition.cnn.com/2017/06/13/tech/ )

World Supercomputing News, Trends, Perspectives (huge diversity of computer devices) Array of things Project

Square Kilometre Array: A Leading Big Data Challenge for 2020 Antennas Digital Signal Processing (DSP) Imaging HPC problem 2020: 100 PBytes/day 2028: 10,000 PBytes/day Over 10 s to 1000 s kms Transfer antennas to DSP 2020: 20,000 PBytes/day 2028: 200,000 PBytes/day Over 10 s to 1000 s kms High Performance Computing Facility (HPC) HPC Processing 2020: 300 Pflop/s 2028: 30 Eflop/s Courtesy of J.Dongarra, UT, ORNL, USA

World Supercomputing News, Trends, Perspectives (complexity of computer devices) Floating point operations per cycle per core Most of the recent computers have FMA (Fused multiple add): (i.e. x x + y*z in one cycle) Intel Xeon earlier models and AMD Opteron have SSE2 2 flops/cycle DP & 4 flops/cycle SP Intel Xeon Nehalem ( 09) & Westmere ( 10) have SSE4 4 flops/cycle DP & 8 flops/cycle SP Intel Xeon Sandy Bridge( 11) & Ivy Bridge ( 12) have AVX 8 flops/cycle DP & 16 flops/cycle SP Intel Xeon Haswell ( 13) & (Broadwell ( 14)) AVX2 16 flops/cycle DP & 32 flops/cycle SP We Intel Xeon Skylake (server) AVX 512 are 32 flops/cycle DP & 64 flops/cycle SP here Knight s Landing

World Supercomputing News, Trends, Perspectives (CPU access latencies) In 167 cycles can do 2672 DP Flops! Today floating point operations are inexpensive, data movement is very expensive. Cycles Yutaka Ishikawa about Post-K supercomputer: Easy of use is one of our Key Performance Indicators.

World Supercomputing News, Trends, Perspectives (huge diversity of computer devices) How to protect legacy software assets? Array of things Project

AlgoWiki http://algowiki-project.org

Supercomputing Consortium of Russian Universities Distributed Summer Supercomputing Academy June, 23 rd July, 1 st, 2017 Educational tracks: MPI / OpenMP programming technologies NVIDIA GPU programming technologies Design and deployment of supercomputer solutions Quantum Informatics OpenFOAM/Salome/Paraview open software Computational hydrodynamics on supercomputers Supported by: IBM, T-Platforms, NVIDIA, RSC

Distributed Summer Supercomputing Academy (http://academy.hpc-russia.ru) Moscow Arkhangelsk Yekaterinburg St Petersburg

Supercomputing Education Series: New Books

Russian Supercomputing Days: General Schedule September, 25 th Monday September, 26 th Tuesday

Russian Supercomputing Days: Awards Best Research Paper, Best Research Paper Industrial Session, Best Research Paper Young Scientists Session, Best Research Poster. Winners will be announced at the Closing Session: September, 26 th, 18:25

International Conference Russian Supercomputing Days September 25-26, 2017, Moscow