Petascale Delivered Whats Past is Prologue IBMs pNext ; The Next - - PowerPoint PPT Presentation

IBM Deep Computing – SC08

Petascale Delivered – What’s Past is Prologue IBM’s pNext; The Next Era of Computing Innovation

IBM Deep Computing

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IBM Deep Computing – SC08

A mix of market forces, technological innovations and business conditions have created a tipping point in HPC

HPC at a tipping point

Ecosystems & Collaboration

• Mix of traditional HPC and “edge”

applications will require new skills

• Growing necessity for collaborative

initiatives to enhance solution context and manage risk

Ecosystems & Collaboration

• Mix of traditional HPC and “edge”

applications will require new skills

• Growing necessity for collaborative

initiatives to enhance solution context and manage risk

HPC Going “Mainstream”

• Hyper-growth within Departmental

and Divisional HPC buyers

• Large influx of new buyers provides
• pportunity for new solution models

HPC Going “Mainstream”

• Hyper-growth within Departmental

and Divisional HPC buyers

• Large influx of new buyers provides
• pportunity for new solution models

System-level Performance & Reliability

• Petascale computing enabling new

paradigm in complex systems analysis

• x86-based clusters dominate – but are

not meeting ever-increasing requirements for ultra-scale users

System-level Performance & Reliability

• Petascale computing enabling new

paradigm in complex systems analysis

• x86-based clusters dominate – but are

not meeting ever-increasing requirements for ultra-scale users

Environmentals

• Growing importance and

limitations on power consumption, datacenter space, cooling capabilities, noise

• Likely governmental actions that

will influence system designs

Environmentals

• Growing importance and

limitations on power consumption, datacenter space, cooling capabilities, noise

• Likely governmental actions that

will influence system designs

Software

• ISV business model challenged

by new systems

• RYO / Open-source initiatives

gaining strong-hold beyond traditional segments

Software

• ISV business model challenged

by new systems

• RYO / Open-source initiatives

gaining strong-hold beyond traditional segments

How can we exploit these shifts to meet our

Performance & Productivity requirements?

IBM Deep Computing

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IBM Deep Computing – SC08

Performance and Productivity Challenges require a Multi- Dimensional Approach

Hybrid Systems Highly Scalable Multi-core Systems Highly Productive Systems Comprehensive (Holistic) System Innovation & Optimization

POWER

IBM Deep Computing

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IBM Deep Computing – SC08

June 18, 2008 – Petascale Delivered!

Roadrunner Breaks Petaflop Milestone

Date added: 18 Jun 2008 Lead engineer Don Grice of I BM inspects the w orld's fastest com puter in the com pany's Poughkeepsie, NY plant. The com puter nicknam ed "Roadrunner" w as built for the Departm ent of Energy's National Nuclear Security Adm inistration and w ill be housed at Los Alam os National Laboratory in New

• Mexico. I BM engineers in Poughkeepsie,

N.Y., Rochester, Minn., Austin, Texas and Yorktow n Heights, N.Y., w orked on the com puter, the first to break a m ilestone know n as a "petaflop" -- the ability to calculate 1 ,0 0 0 -trillion

• perations every second. The com puter

packs the pow er of 1 0 0 ,0 0 0 laptops -- a stack 1 .5 m iles high. Roadrunner w ill prim arily be used to ensure national security, but w ill also help scientists perform research into energy, astronom y, genetics and clim ate change.

Groundbreaking system will have a profound impact on science, business and society

Hybrid Systems

IBM Deep Computing

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IBM Deep Computing – SC08

Slide 5

17 Connected Units – 278 Racks Misc

ALF

DaCS

.

Other

/

Library

SDK 3.1 TriBlade

Linux

New Hardware New Hardware Systems Integration Systems Integration Bring Up, Test and Benchmarking Bring Up, Test and Benchmarking

LS21 Expansion LS21 QS22 QS22

Firmware Device Driver

New Software New Software Open Source Open Source Los Alamos National Lab

• A New Programming Model extended from

standard, cluster computing (Innovation derived through close collaboration with LANL)

• Hybrid and Heterogeneous Hardware
• Built around BladeCenter and Industry IB-DDR

The making of Roadrunner – Key Building Blocks

Hybrid Systems

IBM Deep Computing

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IBM Deep Computing – SC08

Highly Scalable Multi-Core Systems

13.6 GF/s 8 MB EDRAM 4 processors 1 chip, 20 DRAMs 13.6 GF/s 2.0 (or 4.0) GB DDR Supports 4-way SMP 32 Node Cards 1024 chips, 4096 procs 14 TF/s 2 TB 72 Racks 1 PF/s 144 TB Cabled 8x8x16 Rack System Compute Card Chip 435 GF/s 64 GB (32 chips 4x4x2) 32 compute, 0-1 IO cards Node Card

Role of Highly Scalable Multi-core Systems continues to Evolve

Front End Node / Service Node POWER-based blade & rack-based offerings

Blue Gene/P - a hallmark system for leadership performance in a space- saving, power-efficient package for the most demanding and scalable high-performance computing applications

IBM Deep Computing

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IBM Deep Computing – SC08

Highly Productive Computing Systems

Highly Productive Systems

DARPA HPCS Performance Goals:

up to 3,000X

Minimum bandwidth connecting system components

up to 2,000X

Memory access

up to 50X

Data processing rate

10X

Sustained execution speed Improvement Performance dimension

up to 3,000X

Minimum bandwidth connecting system components

up to 2,000X

Memory access

up to 50X

Data processing rate

10X

Sustained execution speed Improvement Performance dimension

Next-Generation POWER processor Enhanced POWER Instruction Set Architecture High-speed Network Advanced, Eco-Friendly Footprint, Packaging, Power & Cooling Scalable, Balanced System Design Architecturally Robust Hardware & Software Design Simple, Efficient Systems Mgmt. Superb Reliability, Availability, Serviceability

IBM Deep Computing

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IBM Deep Computing – SC08

Five Decades of Eco-friendly System Innovations

1960s -1970s 1980s mid-1990s late-1990s 2000s

IBM Energy Efficiency Institute, Austin, TX S/360 Model 67 first virtualized machine CMOS processors Modular refrigeration cooling technology High-k metal gates Airgap Air / liquid hybrid cooling technology VM virtualization Thermal conduction cooling technology Flat plate conduction cooling technology Copper chip Cell BE processor 3D chip stacking eDRAM

POWER6

IBM Deep Computing

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IBM Deep Computing – SC08

I nnovation from Atoms to Software I nnovation from Atoms to Software

• The simultaneous optimization of

The simultaneous optimization of:

Materials, Devices, Circuits, Cores, Chips, System Architecture, System Assets and System Software

Provides the most effective means to optimize the value

• f IT offerings to the end user

Catalyst for innovations in HPC: Systems, Algorithms, Software Tools, Business Models

Note:

Execution relies upon the seamless integration of skills from across the spectrum

Holistic Design as Applied to Petascale Systems

Holistic System Innovation

IBM Deep Computing

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IBM Deep Computing – SC08

Market Dynamics and Design Principles; Petascale and Beyond

Existing and emerging workloads with highly specialized (heterogeneous) requirements Increased societal awareness and regulatory mandate on environmentals/carbon footprint (power consumption, noise, space efficiency, resource lifecycle) Open, adaptive software ecosystem that supports legacy applications and hardware architectures while enabling new, advanced capabilities Robust, modular hardware architecture framework that enables new and existing processor types to be applied for workloads acceleration Reliability and Scalability for 1015 and beyond....

IBM Deep Computing

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IBM Deep Computing – SC08

Next Era of Innovation – Hybrid Computing The Next Bold Step in Innovation & Integration

Symmetric Multiprocessing Era Hybrid Computing Era Today pNext 1.0 pNext 2.0 p6 p7 Cell BlueGene

Driven by cores/threads Driven by workload consolidation

Throughput Traditional Computational

Technology Out Market In

All statements regarding IBM future directions and intent are subject to change or withdrawal without notice and represent goals and objectives only. Any reliance on these Statements of General Direction is at the relying party's sole risk and will not create liability or obligation for IBM.

IBM Deep Computing

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IBM Deep Computing – SC08

All statements regarding IBM future directions and intent are subject to change or withdrawal without notice and represent goals and objectives only. Any reliance on these Statements of General Direction is at the relying party's sole risk and will not create liability or obligation for IBM.

2009/2010 2007 2011 2008 2013

Performance

Capability Machines Extended Configurability

BG/P

Linux Clusters Power, x86-64, Less Demanding Communication

BG/Q Power, AIX/ Linux PF ExaF

2012 2018-19

PERCS Systems

HPC Cluster Directions

ExaScale

Accelerators Accelerators Accelerators Accelerators Capacity Clusters Roadrunner Accelerators

Targeted Configurability

IBM Deep Computing

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IBM Deep Computing – SC08

All statements regarding IBM future directions and intent are subject to change or withdrawal without notice and represent goals and objectives only. Any reliance on these Statements of General Direction is at the relying party's sole risk and will not create liability or obligation for IBM.

Logical Single Address Space

Logical Multiple Address Spaces Shmem GSM MPI

PGAS CAF /X10/ UPC

Multiple Machine Address Spaces

BG Open MP, SM-MPI HW Cache Power/PERC Open MP, SM-MPI HW Cache Roadrunner Open MP, OpenCL Software Cache

Cluster Level Node Level Logical View

Homogeneous Cores Heterogeneous

Fortran C

IBM Deep Computing

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IBM Deep Computing – SC08

All statements regarding IBM future directions and intent are subject to change or withdrawal without notice and represent goals and objectives only. Any reliance on these Statements of General Direction is at the relying party's sole risk and will not create liability or obligation for IBM.

Two Standards

• Two standards evolving from different sides of

the market

CPUs MIMD Scalar code bases Parallel for loop Shared Memory Model GPUs SIMD Scalar/Vector code bases Data Parallel Distributed Shared Memory Model

OpenMP OpenCL CPU GPU SPE

IBM Deep Computing

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IBM Deep Computing – SC08

In the end, it’s not about the technology; It’s what you do with it that counts

Join us as we: Continue to innovate across the whole systems stack to deliver leadership in performance and usability Help solve problems that are currently intractable or not cost-effective Accelerate discovery in science, engineering, and business

IBM Deep Computing

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IBM Deep Computing – SC08

...any Questions? Thank you...

IBM Deep Computing

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IBM Deep Computing – SC08

Footnotes

IBM Deep Computing

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IBM Deep Computing – SC08

This document was developed for IBM offerings in the United States as of the date of publication. IBM may not make these offerings available in

• ther countries, and the information is subject to change without notice. Consult your local IBM business contact for information on the IBM
• fferings available in your area.

Information in this document concerning non-IBM products was obtained from the suppliers of these products or other public sources. Questions

• n the capabilities of non-IBM products should be addressed to the suppliers of those products.

IBM may have patents or pending patent applications covering subject matter in this document. The furnishing of this document does not give you any license to these patents. Send license inquires, in writing, to IBM Director of Licensing, IBM Corporation, New Castle Drive, Armonk, NY 10504-1785 USA. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives

• nly.

The information contained in this document has not been submitted to any formal IBM test and is provided "AS IS" with no warranties or guarantees either expressed or implied. All examples cited or described in this document are presented as illustrations of the manner in which some IBM products can be used and the results that may be achieved. Actual environmental costs and performance characteristics will vary depending on individual client configurations and conditions. IBM Global Financing offerings are provided through IBM Credit Corporation in the United States and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates are based on a client's credit rating, financing terms, offering type, equipment type and options, and may vary by country. Other restrictions may apply. Rates and offerings are subject to change, extension or withdrawal without notice. IBM is not responsible for printing errors in this document that result in pricing or information inaccuracies. All prices shown are IBM's United States suggested list prices and are subject to change without notice; reseller prices may vary. IBM hardware products are manufactured from new parts, or new and serviceable used parts. Regardless, our warranty terms apply. Any performance data contained in this document was determined in a controlled environment. Actual results may vary significantly and are dependent on many factors including system hardware configuration and software design and configuration. Some measurements quoted in this document may have been made on development-level systems. There is no guarantee these measurements will be the same on generally- available systems. Some measurements quoted in this document may have been estimated through extrapolation. Users of this document should verify the applicable data for their specific environment.

Special notices

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IBM Deep Computing – SC08

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Special notices (cont.)