IBM Power Systems Facts and Features: Scale-Out Systems With
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Investigations on Hardware Compression of IBM Power9 Processors
Investigations on hardware compression of IBM Power9 processors Jérome Kieffer, Pierre Paleo, Antoine Roux, Benoît Rousselle Outline ● The bandwidth issue at synchrotrons sources ● Presentation of the evaluated systems: – Intel Xeon vs IBM Power9 – Benchmarks on bandwidth ● The need for compression of scientific data – Compression as part of HDF5 – The hardware compression engine NX-gzip within Power9 – Gzip performance benchmark – Bitshuffle-LZ4 benchmark – Filter optimizations – Benchmark of parallel filtered gzip ● Conclusions – on the hardware – on the compression pipeline in HDF5 Page 2 HDF5 on Power9 18/09/2019 Bandwidth issue at synchrotrons sources Data analysis computer with the main interconnections and their associated bandwidth. Data reduction Upgrade to → Azimuthal integration 100 Gbit/s Data compression ! Figures from former generation of servers Kieffer et al. Volume 25 | Part 2 | March 2018 | Pages 612–617 | 10.1107/S1600577518000607 Page 3 HDF5 on Power9 18/09/2019 Topologies of Intel Xeon servers in 2019 Source: intel.com Page 4 HDF5 on Power9 18/09/2019 Architecture of the AC922 server from IBM featuring Power9 Credit: Thibaud Besson, IBM France Page 6 HDF5 on Power9 18/09/2019 Bandwidth measurement: Xeon vs Power9 Computer Dell R840 IBM AC922 Processor 4 Intel Xeon (12 cores) 2 IBM Power9 (16 cores) 2.6 GHz 2.7 GHz Cache (L3) 19 MB 8x 10 MB Memory channels 4x 6 DDR4 2x 8 DDR4 Memory capacity → 3TB → 2TB Memory speed theory 512 GB/s 340 GB/s Measured memory speed 160 GB/s 270 GB/s Interconnects PCIe v3 PCIe v4 NVlink2 & CAPI2 GP-GPU co-processor 2Tesla V100 PCIe v3 2Tesla V100 NVlink2 Interconnect speed 12 GB/s 48 GB/s CPU ↔ GPU Page 8 HDF5 on Power9 18/09/2019 Strength and weaknesses of the OpenPower architecture While amd64 is today’s de facto standard in HPC, it has a few competitors: arm64, ppc64le and to a less extend riscv and mips64. -
IBM Power Systems Solution Edition for Scale-Out Cloud
IBM Systems and Technology Solution Brief IBM Power Systems and Storage Solution Edition for Scale-Out Cloud Open source, Linux solution for scale-out data virtualization and cloud Cloud computing is no longer a question of “if” for IT organizations, but Highlights rather one of when, how and for which workloads. Cloud is widely understood to be an IT delivery model that can improve IT asset utilization, Allows open infrastructures to scale out intelligently, with less hardware, flexibility and responsiveness while reducing complexity and lowering power and cooling requirements costs. With these benefits come many complexities which need to be and better economics, using over considered as organizations define and implement a cloud delivery strategy. twice the bandwidth from previous Some technology options can hinder the efficiency and costs saving generations potential of the cloud by impeding interoperability, hampering workload Built-in data virtualization delivers performance, exposing security vulnerabilities and limiting scalability. seamless storage management from a single control point with no Building on the performance advantaged IBM POWER8™ architecture, the impact to applications Power Systems™ and Storage Solution Edition for Scale-Out Cloud Flexibility, agility and provides a superior cost effective platform with open source PowerKVM interoperability with open source, hypervisor, powerful data virtualized with IBM Storwize ® V7000, and community-driven virtualization and a single pane of glass for OpenStack-based cloud management for a single pane of glass cloud heterogeneous cloud management management. The Solution Edition reduces the timeframe for infrastructure deployments from months to days with integrated infrastructure and automated provisioning of virtualized resources. It ensures optimal cost effectiveness with Power scale out systems, automated Easy Tier® for flash and disk storage and Real-Time Compression™ that can store up to 5x as much data in the same physical space. -
IBM Power® Systems for SAS® Empowers Advanced Analytics Harry Seifert, Laurent Montaron, IBM Corporation
Paper 4695-2020 IBM Power® Systems for SAS® Empowers Advanced Analytics Harry Seifert, Laurent Montaron, IBM Corporation ABSTRACT For over 40+ years of partnership between IBM and SAS®, clients have been benefiting from the added value brought by IBM’s infrastructure platforms to deploy SAS analytics, and now SAS Viya’s evolution of modern analytics. IBM Power® Systems and IBM Storage empower SAS environments with infrastructure that does not make tradeoffs among performance, cost, and reliability. The unified solution stack, comprising server, storage, and services, reduces the compute time, controls costs, and maximizes resilience of SAS environment with ultra-high bandwidth and highest availability. INTRODUCTION We will explore how to deploy SAS on IBM Power Systems platforms and unleash the full potential of the infrastructure, to reduce deployment risk, maximize flexibility and accelerate insights. We will start by reviewing IBM and SAS’s technology relationship and the current state of SAS products on IBM Power Systems. Then we will look at some of the infrastructure options to deploy SAS 9.4 on IBM Power Systems and IBM Storage, while maximizing resiliency & throughput by leveraging best practices. Next, we will look at SAS Viya, which introduces changes to the underlying infrastructure requirements while remaining able to be deployed alongside a traditional SAS 9.4 operation. We’ll explore the various deployment modes available. Finally, we’ll look at tuning practices and reference materials available for a deeper dive in deploying SAS on IBM platforms. SAS: 40 YEARS OF PARTNERSHIP WITH IBM IBM and SAS have been partners since the founding of SAS. -
POWER® Processor-Based Systems
IBM® Power® Systems RAS Introduction to IBM® Power® Reliability, Availability, and Serviceability for POWER9® processor-based systems using IBM PowerVM™ With Updates covering the latest 4+ Socket Power10 processor-based systems IBM Systems Group Daniel Henderson, Irving Baysah Trademarks, Copyrights, Notices and Acknowledgements Trademarks IBM, the IBM logo, and ibm.com are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. These and other IBM trademarked terms are marked on their first occurrence in this information with the appropriate symbol (® or ™), indicating US registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at http://www.ibm.com/legal/copytrade.shtml The following terms are trademarks of the International Business Machines Corporation in the United States, other countries, or both: Active AIX® POWER® POWER Power Power Systems Memory™ Hypervisor™ Systems™ Software™ Power® POWER POWER7 POWER8™ POWER® PowerLinux™ 7® +™ POWER® PowerHA® POWER6 ® PowerVM System System PowerVC™ POWER Power Architecture™ ® x® z® Hypervisor™ Additional Trademarks may be identified in the body of this document. Other company, product, or service names may be trademarks or service marks of others. Notices The last page of this document contains copyright information, important notices, and other information. Acknowledgements While this whitepaper has two principal authors/editors it is the culmination of the work of a number of different subject matter experts within IBM who contributed ideas, detailed technical information, and the occasional photograph and section of description. -
IBM Power Systems Solution for Mariadb
IBM Power Systems solution for MariaDB Performance overview of MariaDB Enterprise on Linux on Power featuring the new IBM POWER8 technology Axel Schwenke MariaDB Corporation Hari Reddy IBM Systems and Technology Group ISV Enablement Basu Vaidyanathan IBM Systems and Technology Group Performance Analysis October 2014 © Copyright IBM Corporation, 2014 Table of contents Abstract........................................................................................................................................1 Introduction .................................................................................................................................1 Advantages of MariaDB on Power Systems.............................................................................1 MariaDB architecture ..................................................................................................................2 Sysbench OLTP benchmark.................................................................................................................... 3 MariaDB performance.............................................................................................................................. 3 Relative performance of IBM Power S822L and IBM System x3650 M4 ................................................ 3 Power Systems built with the POWER8 technology................................................................6 Tested configuration details ......................................................................................................7 -
IBM Power System E850 the Most Agile 4-Socket System in the Marketplace, Optimized for Performance, Reliability and Expansion
IBM Systems Data Sheet IBM Power System E850 The most agile 4-socket system in the marketplace, optimized for performance, reliability and expansion Businesses today are demanding faster insights that analyze more data in Highlights new ways. They need to implement applications in days versus months, and they need to achieve all these goals while reducing IT costs. This is ●● ●●Designed for data and analytics, delivers creating new demands on IT infrastructures, requiring new levels of per- secure, reliable performance in a compact, 4-socket system formance and the flexibility to respond to new business opportunities, all at an affordable price. ●● ●●Can flexibly scale to rapidly respond to changing business needs The IBM® Power® System E850 server offers a unique blend of ●● ●●Can reduce IT costs through application enterprise-class capabilities in a space-efficient, 4-socket system with consolidation, higher availability and excellent price performance. With up to 48 IBM POWER8™ processor virtualization to yield over 70 percent utilization cores, advanced IBM PowerVM® virtualization that can yield over 70 percent system utilization and Capacity on Demand (CoD), no other 4-socket system in the industry delivers this combination of performance, efficiency and business agility. These capabilities make the Power E850 server an ideal platform for medium-size businesses and as a departmental server or data center building block for large enterprises. Designed for the demands of big data and analytics Businesses are amassing a wealth of data and IBM Power Systems™, built with innovation to support today’s data demands, can store it, secure it and, most important, extract actionable insight from it. -
IBM Power Systems Performance Report Apr 13, 2021
IBM Power Performance Report Power7 to Power10 September 8, 2021 Table of Contents 3 Introduction to Performance of IBM UNIX, IBM i, and Linux Operating System Servers 4 Section 1 – SPEC® CPU Benchmark Performance 4 Section 1a – Linux Multi-user SPEC® CPU2017 Performance (Power10) 4 Section 1b – Linux Multi-user SPEC® CPU2017 Performance (Power9) 4 Section 1c – AIX Multi-user SPEC® CPU2006 Performance (Power7, Power7+, Power8) 5 Section 1d – Linux Multi-user SPEC® CPU2006 Performance (Power7, Power7+, Power8) 6 Section 2 – AIX Multi-user Performance (rPerf) 6 Section 2a – AIX Multi-user Performance (Power8, Power9 and Power10) 9 Section 2b – AIX Multi-user Performance (Power9) in Non-default Processor Power Mode Setting 9 Section 2c – AIX Multi-user Performance (Power7 and Power7+) 13 Section 2d – AIX Capacity Upgrade on Demand Relative Performance Guidelines (Power8) 15 Section 2e – AIX Capacity Upgrade on Demand Relative Performance Guidelines (Power7 and Power7+) 20 Section 3 – CPW Benchmark Performance 19 Section 3a – CPW Benchmark Performance (Power8, Power9 and Power10) 22 Section 3b – CPW Benchmark Performance (Power7 and Power7+) 25 Section 4 – SPECjbb®2015 Benchmark Performance 25 Section 4a – SPECjbb®2015 Benchmark Performance (Power9) 25 Section 4b – SPECjbb®2015 Benchmark Performance (Power8) 25 Section 5 – AIX SAP® Standard Application Benchmark Performance 25 Section 5a – SAP® Sales and Distribution (SD) 2-Tier – AIX (Power7 to Power8) 26 Section 5b – SAP® Sales and Distribution (SD) 2-Tier – Linux on Power (Power7 to Power7+) -
Towards a Portable Hierarchical View of Distributed Shared Memory Systems: Challenges and Solutions
Towards A Portable Hierarchical View of Distributed Shared Memory Systems: Challenges and Solutions Millad Ghane Sunita Chandrasekaran Margaret S. Cheung Department of Computer Science Department of Computer and Information Physics Department University of Houston Sciences University of Houston TX, USA University of Delaware Center for Theoretical Biological Physics, [email protected],[email protected] DE, USA Rice University [email protected] TX, USA [email protected] Abstract 1 Introduction An ever-growing diversity in the architecture of modern super- Heterogeneity has become increasingly prevalent in the recent computers has led to challenges in developing scientifc software. years given its promising role in tackling energy and power con- Utilizing heterogeneous and disruptive architectures (e.g., of-chip sumption crisis of high-performance computing (HPC) systems [15, and, in the near future, on-chip accelerators) has increased the soft- 20]. Dennard scaling [14] has instigated the adaptation of heteroge- ware complexity and worsened its maintainability. To that end, we neous architectures in the design of supercomputers and clusters need a productive software ecosystem that improves the usability by the HPC community. The July 2019 TOP500 [36] report shows and portability of applications for such systems while allowing how 126 systems in the list are heterogeneous systems confgured every parallelism opportunity to be exploited. with one or many GPUs. This is the prevailing trend in current gen- In this paper, we outline several challenges that we encountered eration of supercomputers. As an example, Summit [31], the fastest in the implementation of Gecko, a hierarchical model for distributed supercomputer according to the Top500 list (June 2019) [36], has shared memory architectures, using a directive-based program- two IBM POWER9 processors and six NVIDIA Volta V100 GPUs. -
Upgrade to POWER9 Planning Checklist
Achieve your full business potential with IBM POWER9 Future-forward infrastructure designed to crush data-intensive workloads Upgrade to POWER9 Planning Checklist Using this checklist will help to ensure that your infrastructure strategy is aligned to your needs, avoiding potential cost overruns or capability shortfalls. 1 Determine current and future capacity 5 Identify all dependencies for major database requirements. Bring your team together, platforms, including Oracle, DB2, SAP HANA, assess your current application workload and open-source databases like EnterpriseDB, requirements and three- to five-year MongoDB, neo4j, and Redis. You’re likely outlook. You’ll then have a good picture running major databases on the Power of when and where application growth Systems platform; co-locating your current will take place, enabling you to secure servers may be a way to reduce expenditure capacity at the appropriate time on an and increase flexibility. as-needed basis. 6 Understand current and future data center 2 Assess operational efficiencies and identify environmental requirements. You may be opportunities to improve service levels unnecessarily overspending on power, while decreasing exposure to security and cooling and space. Savings here will help your compliancy issues/problems. With new organization avoid costs associated with data technologies that allow you to easily adjust center expansion. capacity, you will be in a much better position to lower costs, improve service Identify the requirements of your strategy for levels, and increase efficiency. 7 on- and off-premises cloud infrastructure. As you move to the cloud, ensure you 3 Create a detailed inventory of servers have a strong strategy to determine which across your entire IT infrastructure. -
AC922 Data Movement for CORAL
AC922 Data Movement for CORAL Roberts, Steve Ramanna, Pradeep Walthour, John IBM IBM IBM Cognitive Systems Cognitive Systems Cognitive Systems Austin, TX Austin, TX Austin, TX [email protected] [email protected] [email protected] Abstract—Recent publications have considered the challenge of and GPU processing elements associated with their respective movement in and out of the high bandwidth memory in attempt DRAM or high bandwidth memory (HBM2). Each processor to maximize GPU utilization and minimize overall application element creates a NUMA domain which in total encompasses wall time. This paper builds on previous contributions, [5] [17], which simulate software models, advocated optimization, and over > 2PB worth of total memory (see Table I for total suggest design considerations. This contribution characterizes the capacity). data movement innovations of the AC922 nodes IBM delivered to Oak Ridge National Labs and Lawrence Livermore National TABLE I Labs as part of the 2014 Collaboration of Oak Ridge, Argonne, CORAL SYSTEMS MEMORY SUMMARY and Livermore (CORAL) joint procurement activity. With a single HPC system able to perform up to 200PF of processing Lab Nodes Sockets DRAM (TB) GPUs HBM2 (TB) with access to 2.5PB of memory, this architecture motivates a ORNL 4607 9216 2,304 27648 432 careful look at data movement. The AC922 POWER9 system LLNL 4320 8640 2,160 17280 270 with NVIDIA V100 GPUs have cache line granularity, more than double the bandwidth of PCIe Gen3, low latency interfaces Efficient programming models call for accessing system and are interconnected by dual-rail Mellanox CAPI/EDR HCAs. memory with as little data replication as possible and As such, the bandwidth and latency assumptions from previous with low instruction overhead. -
IBM POWER8 High-Performance Computing Guide: IBM Power System S822LC (8335-GTB) Edition
Front cover IBM POWER8 High-Performance Computing Guide IBM Power System S822LC (8335-GTB) Edition Dino Quintero Joseph Apuzzo John Dunham Mauricio Faria de Oliveira Markus Hilger Desnes Augusto Nunes Rosario Wainer dos Santos Moschetta Alexander Pozdneev Redbooks International Technical Support Organization IBM POWER8 High-Performance Computing Guide: IBM Power System S822LC (8335-GTB) Edition May 2017 SG24-8371-00 Note: Before using this information and the product it supports, read the information in “Notices” on page ix. First Edition (May 2017) This edition applies to: IBM Platform LSF Standard 10.1.0.1 IBM XL Fortran v15.1.4 and v15.1.5 compilers IBM XLC/C++ v13.1.2 and v13.1.5 compilers IBM PE Developer Edition version 2.3 Red Hat Enterprise Linux (RHEL) 7.2 and 7.3 in little-endian mode © Copyright International Business Machines Corporation 2017. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . ix Trademarks . .x Preface . xi Authors. xi Now you can become a published author, too! . xiii Comments welcome. xiv Stay connected to IBM Redbooks . xiv Chapter 1. IBM Power System S822LC for HPC server overview . 1 1.1 IBM Power System S822LC for HPC server. 2 1.1.1 IBM POWER8 processor . 3 1.1.2 NVLink . 4 1.2 HPC system hardware components . 5 1.2.1 Login nodes . 6 1.2.2 Management nodes . 6 1.2.3 Compute nodes. 7 1.2.4 Compute racks . 7 1.2.5 High-performance interconnect. -
POWER10 Processor Chip
POWER10 Processor Chip Technology and Packaging: PowerAXON PowerAXON - 602mm2 7nm Samsung (18B devices) x x 3 SMT8 SMT8 SMT8 SMT8 3 - 18 layer metal stack, enhanced device 2 Core Core Core Core 2 - Single-chip or Dual-chip sockets + 2MB L2 2MB L2 2MB L2 2MB L2 + 4 4 SMP, Memory, Accel, Cluster, PCI Interconnect Cluster,Accel, Memory, SMP, Computational Capabilities: PCI Interconnect Cluster,Accel, Memory, SMP, Local 8MB - Up to 15 SMT8 Cores (2 MB L2 Cache / core) L3 region (Up to 120 simultaneous hardware threads) 64 MB L3 Hemisphere Memory Signaling (8x8 OMI) (8x8 Signaling Memory - Up to 120 MB L3 cache (low latency NUCA mgmt) OMI) (8x8 Signaling Memory - 3x energy efficiency relative to POWER9 SMT8 SMT8 SMT8 SMT8 - Enterprise thread strength optimizations Core Core Core Core - AI and security focused ISA additions 2MB L2 2MB L2 2MB L2 2MB L2 - 2x general, 4x matrix SIMD relative to POWER9 - EA-tagged L1 cache, 4x MMU relative to POWER9 SMT8 SMT8 SMT8 SMT8 Core Core Core Core Open Memory Interface: 2MB L2 2MB L2 2MB L2 2MB L2 - 16 x8 at up to 32 GT/s (1 TB/s) - Technology agnostic support: near/main/storage tiers - Minimal (< 10ns latency) add vs DDR direct attach 64 MB L3 Hemisphere PowerAXON Interface: - 16 x8 at up to 32 GT/s (1 TB/s) SMT8 SMT8 SMT8 SMT8 x Core Core Core Core x - SMP interconnect for up to 16 sockets 3 2MB L2 2MB L2 2MB L2 2MB L2 3 - OpenCAPI attach for memory, accelerators, I/O 2 2 + + - Integrated clustering (memory semantics) 4 4 PCIe Gen 5 PCIe Gen 5 PowerAXON PowerAXON PCIe Gen 5 Interface: Signaling (x16) Signaling