Meltdown and Spectre Interconnect Performance Evaluation Jan Mellanox Technologies

Size: px
Start display at page:

Download "Meltdown and Spectre Interconnect Performance Evaluation Jan Mellanox Technologies"

Transcription

1 Meltdown and Spectre Interconnect Evaluation Jan

2 Meltdown and Spectre - Background Most modern processors perform speculative execution This speculation can be measured, disclosing information about data regions that are protected The attacks use the speculative execution process to gain access to restricted or confidential information Meltdown and Spectre fixes cause processor performance degradation based on the info below: Large: 8% to 19%+ Highly cached random memory, with buffered I/O, OLTP database workloads, and benchmarks with high kernel-to-user space transitions. Examples include OLTP Workloads, random I/O to NvME, etc. Modest: 3% to 7% Database analytics and Java VMs. These applications may have significant sequential disk or network traffic, but kernel/device drivers are able to aggregate requests to moderate level of kernel-to-user transitions. Small: 2% to 5% Workloads that spend little time in the kernel were measured. This is with jobs that run mostly in user space and are scheduled using CPU-pinning or NUMA-control. Examples include Linpack NxN on x86 and SPECcpu2006 Minimal - None Accelerator technologies that generally bypass the kernel in favor of user direct access. Examples include DPDK, RDMA and other offloads that bypass the kernel. Following slides provide measured performance impact on various interconnect technologies 2

3 Offload Interconnect Ensures Highest RDMA and Kernel Bypass are critical to Ensure Highest and ROI Offload-Based Interconnect Impact 0% Onload-Based Interconnect Impact Up to -47% Offload-based Interconnect technologies bypass the Kernel and therefore maintain best performance Example: RDMA (InfiniBand and Ethernet), RDMA-based NVMe-over-Fabric, other interconnect offloads Onload-based interconnect performance is negatively impacted by Meltdown and Spectre fixes Includes TCP/IP over Ethernet, OmniPath and other onload-based products 3

4 RoCE vs TCP Results Impact: 0% 0% Impact: -47% -47% Before Before applying software patches, After After applying software patches 4

5 InfiniBand vs OmniPath Results Impact: 0% 0% Impact: -26% -26% Before Before applying software patches, After After applying software patches 5

6 NVMe-over-Fabric Results RDMA Guarantees Highest NVMe-oF Impact: 0% 0% Before Before applying software patches, After After applying software patches 6

7 Lower is Better Number of CPU Cores Data Streaming Results Video Streaming (64 Streams = 96Gb/s) 35 Kernel Streaming Mellanox Interconnect Streaming (VMA) Cores Needed -44% Impact 31 Cores Needed 30 Fewer CPU Cores Needed for the Same Throughput <1 Core <1 Core Before After Before After Before Before applying software patches, After After applying software patches 7

8 Setup Information RoCE and TCP CPU Intel Xeon CPU E5-2697A v4 2.60GHz Operating System Red Hat Enterprise Linux Server 7.4 Kernel Version el7.x86_64, el7.x86_64 Description gen-l-vrt-149_gen-l-vrt-159 kernel el7.x86_64 b2b Adapter: ConnectX-5, Firmware , Driver MLNX_OFED_LINUX InfiniBand and OmniPath CPU: Intel Xeon CPU Gold GHz Kernel el7.x86_64, el7.x86_64 Operating System Red Hat Enterprise Linux Server 7.4 OPA driver: IntelOPA-IFS.RHEL74-x86_ InfiniBand EDR driver: MLNX_OFED 4.2 NVMe Adapter: ConnectX-5 CPU Intel Xeon CPU E v3, RAM 64G Operating System Red Hat Enterprise Linux Server 7.4 OFED Kernel el7.x86_64 8

9 Thank You 9

InfiniBand Networked Flash Storage

InfiniBand Networked Flash Storage InfiniBand Networked Flash Storage Superior Performance, Efficiency and Scalability Motti Beck Director Enterprise Market Development, Mellanox Technologies Flash Memory Summit 2016 Santa Clara, CA 1 17PB

More information

N V M e o v e r F a b r i c s -

N V M e o v e r F a b r i c s - N V M e o v e r F a b r i c s - H i g h p e r f o r m a n c e S S D s n e t w o r k e d f o r c o m p o s a b l e i n f r a s t r u c t u r e Rob Davis, VP Storage Technology, Mellanox OCP Evolution Server

More information

Application Acceleration Beyond Flash Storage

Application Acceleration Beyond Flash Storage Application Acceleration Beyond Flash Storage Session 303C Mellanox Technologies Flash Memory Summit July 2014 Accelerating Applications, Step-by-Step First Steps Make compute fast Moore s Law Make storage

More information

Hardened Security in the Cloud Bob Doud, Sr. Director Marketing March, 2018

Hardened Security in the Cloud Bob Doud, Sr. Director Marketing March, 2018 Hardened Security in the Cloud Bob Doud, Sr. Director Marketing March, 2018 1 Cloud Computing is Growing at an Astounding Rate Many compelling reasons for business to move to the cloud Cost, uptime, easy-expansion,

More information

VM Migration Acceleration over 40GigE Meet SLA & Maximize ROI

VM Migration Acceleration over 40GigE Meet SLA & Maximize ROI VM Migration Acceleration over 40GigE Meet SLA & Maximize ROI Mellanox Technologies Inc. Motti Beck, Director Marketing Motti@mellanox.com Topics Introduction to Mellanox Technologies Inc. Why Cloud SLA

More information

Why AI Frameworks Need (not only) RDMA?

Why AI Frameworks Need (not only) RDMA? Why AI Frameworks Need (not only) RDMA? With Design and Implementation Experience of Networking Support on TensorFlow GDR, Apache MXNet, WeChat Amber, and Tencent Angel Bairen Yi (byi@connect.ust.hk) Jingrong

More information

Accelerating Hadoop Applications with the MapR Distribution Using Flash Storage and High-Speed Ethernet

Accelerating Hadoop Applications with the MapR Distribution Using Flash Storage and High-Speed Ethernet WHITE PAPER Accelerating Hadoop Applications with the MapR Distribution Using Flash Storage and High-Speed Ethernet Contents Background... 2 The MapR Distribution... 2 Mellanox Ethernet Solution... 3 Test

More information

SNIA Developers Conference - Growth of the iscsi RDMA (iser) Ecosystem

SNIA Developers Conference - Growth of the iscsi RDMA (iser) Ecosystem SNIA Developers Conference - Growth of the iscsi RDMA (iser) Ecosystem Rob Davis Mellanox Technologies robd@mellanox.com The FASTEST Storage Protocol: iser The FASTEST Storage: Flash What it is: iscsi

More information

Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay Mellanox Technologies

Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay Mellanox Technologies Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay 1 Apache Spark - Intro Spark within the Big Data ecosystem Data Sources Data Acquisition / ETL Data Storage Data Analysis / ML Serving 3 Apache

More information

NVMe Over Fabrics: Scaling Up With The Storage Performance Development Kit

NVMe Over Fabrics: Scaling Up With The Storage Performance Development Kit NVMe Over Fabrics: Scaling Up With The Storage Performance Development Kit Ben Walker Data Center Group Intel Corporation 2018 Storage Developer Conference. Intel Corporation. All Rights Reserved. 1 Notices

More information

Benefits of 25, 40, and 50GbE Networks for Ceph and Hyper- Converged Infrastructure John F. Kim Mellanox Technologies

Benefits of 25, 40, and 50GbE Networks for Ceph and Hyper- Converged Infrastructure John F. Kim Mellanox Technologies Benefits of 25, 40, and 50GbE Networks for Ceph and Hyper- Converged Infrastructure John F. Kim Mellanox Technologies Storage Transitions Change Network Needs Software Defined Storage Flash Storage Storage

More information

Evaluation of the Chelsio T580-CR iscsi Offload adapter

Evaluation of the Chelsio T580-CR iscsi Offload adapter October 2016 Evaluation of the Chelsio T580-CR iscsi iscsi Offload makes a difference Executive Summary As application processing demands increase and the amount of data continues to grow, getting this

More information

Low-Overhead Flash Disaggregation via NVMe-over-Fabrics Vijay Balakrishnan Memory Solutions Lab. Samsung Semiconductor, Inc.

Low-Overhead Flash Disaggregation via NVMe-over-Fabrics Vijay Balakrishnan Memory Solutions Lab. Samsung Semiconductor, Inc. Low-Overhead Flash Disaggregation via NVMe-over-Fabrics Vijay Balakrishnan Memory Solutions Lab. Samsung Semiconductor, Inc. 1 DISCLAIMER This presentation and/or accompanying oral statements by Samsung

More information

In-Network Computing. Sebastian Kalcher, Senior System Engineer HPC. May 2017

In-Network Computing. Sebastian Kalcher, Senior System Engineer HPC. May 2017 In-Network Computing Sebastian Kalcher, Senior System Engineer HPC May 2017 Exponential Data Growth The Need for Intelligent and Faster Interconnect CPU-Centric (Onload) Data-Centric (Offload) Must Wait

More information

Low-Overhead Flash Disaggregation via NVMe-over-Fabrics

Low-Overhead Flash Disaggregation via NVMe-over-Fabrics Low-Overhead Flash Disaggregation via NVMe-over-Fabrics Vijay Balakrishnan Memory Solutions Lab. Samsung Semiconductor, Inc. August 2017 1 DISCLAIMER This presentation and/or accompanying oral statements

More information

SPDK China Summit Ziye Yang. Senior Software Engineer. Network Platforms Group, Intel Corporation

SPDK China Summit Ziye Yang. Senior Software Engineer. Network Platforms Group, Intel Corporation SPDK China Summit 2018 Ziye Yang Senior Software Engineer Network Platforms Group, Intel Corporation Agenda SPDK programming framework Accelerated NVMe-oF via SPDK Conclusion 2 Agenda SPDK programming

More information

EXPERIENCES WITH NVME OVER FABRICS

EXPERIENCES WITH NVME OVER FABRICS 13th ANNUAL WORKSHOP 2017 EXPERIENCES WITH NVME OVER FABRICS Parav Pandit, Oren Duer, Max Gurtovoy Mellanox Technologies [ 31 March, 2017 ] BACKGROUND: NVME TECHNOLOGY Optimized for flash and next-gen

More information

Implementing Storage in Intel Omni-Path Architecture Fabrics

Implementing Storage in Intel Omni-Path Architecture Fabrics white paper Implementing in Intel Omni-Path Architecture Fabrics Rev 2 A rich ecosystem of storage solutions supports Intel Omni- Path Executive Overview The Intel Omni-Path Architecture (Intel OPA) is

More information

THE STORAGE PERFORMANCE DEVELOPMENT KIT AND NVME-OF

THE STORAGE PERFORMANCE DEVELOPMENT KIT AND NVME-OF 14th ANNUAL WORKSHOP 2018 THE STORAGE PERFORMANCE DEVELOPMENT KIT AND NVME-OF Paul Luse Intel Corporation Apr 2018 AGENDA Storage Performance Development Kit What is SPDK? The SPDK Community Why are so

More information

Advanced Computer Networks. End Host Optimization

Advanced Computer Networks. End Host Optimization Oriana Riva, Department of Computer Science ETH Zürich 263 3501 00 End Host Optimization Patrick Stuedi Spring Semester 2017 1 Today End-host optimizations: NUMA-aware networking Kernel-bypass Remote Direct

More information

Emerging Technologies for HPC Storage

Emerging Technologies for HPC Storage Emerging Technologies for HPC Storage Dr. Wolfgang Mertz CTO EMEA Unstructured Data Solutions June 2018 The very definition of HPC is expanding Blazing Fast Speed Accessibility and flexibility 2 Traditional

More information

NFS/RDMA over 40Gbps iwarp Wael Noureddine Chelsio Communications

NFS/RDMA over 40Gbps iwarp Wael Noureddine Chelsio Communications NFS/RDMA over 40Gbps iwarp Wael Noureddine Chelsio Communications Outline RDMA Motivating trends iwarp NFS over RDMA Overview Chelsio T5 support Performance results 2 Adoption Rate of 40GbE Source: Crehan

More information

Reducing Network Contention with Mixed Workloads on Modern Multicore Clusters

Reducing Network Contention with Mixed Workloads on Modern Multicore Clusters Reducing Network Contention with Mixed Workloads on Modern Multicore Clusters Matthew Koop 1 Miao Luo D. K. Panda matthew.koop@nasa.gov {luom, panda}@cse.ohio-state.edu 1 NASA Center for Computational

More information

Birds of a Feather Presentation

Birds of a Feather Presentation Mellanox InfiniBand QDR 4Gb/s The Fabric of Choice for High Performance Computing Gilad Shainer, shainer@mellanox.com June 28 Birds of a Feather Presentation InfiniBand Technology Leadership Industry Standard

More information

Advanced RDMA-based Admission Control for Modern Data-Centers

Advanced RDMA-based Admission Control for Modern Data-Centers Advanced RDMA-based Admission Control for Modern Data-Centers Ping Lai Sundeep Narravula Karthikeyan Vaidyanathan Dhabaleswar. K. Panda Computer Science & Engineering Department Ohio State University Outline

More information

The Future of High Performance Interconnects

The Future of High Performance Interconnects The Future of High Performance Interconnects Ashrut Ambastha HPC Advisory Council Perth, Australia :: August 2017 When Algorithms Go Rogue 2017 Mellanox Technologies 2 When Algorithms Go Rogue 2017 Mellanox

More information

Performance Optimizations via Connect-IB and Dynamically Connected Transport Service for Maximum Performance on LS-DYNA

Performance Optimizations via Connect-IB and Dynamically Connected Transport Service for Maximum Performance on LS-DYNA Performance Optimizations via Connect-IB and Dynamically Connected Transport Service for Maximum Performance on LS-DYNA Pak Lui, Gilad Shainer, Brian Klaff Mellanox Technologies Abstract From concept to

More information

How to Network Flash Storage Efficiently at Hyperscale. Flash Memory Summit 2017 Santa Clara, CA 1

How to Network Flash Storage Efficiently at Hyperscale. Flash Memory Summit 2017 Santa Clara, CA 1 How to Network Flash Storage Efficiently at Hyperscale Manoj Wadekar Michael Kagan Flash Memory Summit 2017 Santa Clara, CA 1 ebay Hyper scale Infrastructure Search Front-End & Product Hadoop Object Store

More information

Choosing the Best Network Interface Card for Cloud Mellanox ConnectX -3 Pro EN vs. Intel XL710

Choosing the Best Network Interface Card for Cloud Mellanox ConnectX -3 Pro EN vs. Intel XL710 COMPETITIVE BRIEF April 5 Choosing the Best Network Interface Card for Cloud Mellanox ConnectX -3 Pro EN vs. Intel XL7 Introduction: How to Choose a Network Interface Card... Comparison: Mellanox ConnectX

More information

Improving Application Performance and Predictability using Multiple Virtual Lanes in Modern Multi-Core InfiniBand Clusters

Improving Application Performance and Predictability using Multiple Virtual Lanes in Modern Multi-Core InfiniBand Clusters Improving Application Performance and Predictability using Multiple Virtual Lanes in Modern Multi-Core InfiniBand Clusters Hari Subramoni, Ping Lai, Sayantan Sur and Dhabhaleswar. K. Panda Department of

More information

RoCE vs. iwarp Competitive Analysis

RoCE vs. iwarp Competitive Analysis WHITE PAPER February 217 RoCE vs. iwarp Competitive Analysis Executive Summary...1 RoCE s Advantages over iwarp...1 Performance and Benchmark Examples...3 Best Performance for Virtualization...5 Summary...6

More information

Designing Power-Aware Collective Communication Algorithms for InfiniBand Clusters

Designing Power-Aware Collective Communication Algorithms for InfiniBand Clusters Designing Power-Aware Collective Communication Algorithms for InfiniBand Clusters Krishna Kandalla, Emilio P. Mancini, Sayantan Sur, and Dhabaleswar. K. Panda Department of Computer Science & Engineering,

More information

Interconnect Your Future

Interconnect Your Future Interconnect Your Future Paving the Road to Exascale August 2017 Exponential Data Growth The Need for Intelligent and Faster Interconnect CPU-Centric (Onload) Data-Centric (Offload) Must Wait for the Data

More information

Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme

Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme SER1740BU RDMA: The World Of Possibilities Sudhanshu (Suds) Jain # SER1740BU #VMworld2017 Disclaimer This presentation may contain product features that are currently under development. This overview of

More information

NVMf based Integration of Non-volatile Memory in a Distributed System - Lessons learned

NVMf based Integration of Non-volatile Memory in a Distributed System - Lessons learned 14th ANNUAL WORKSHOP 2018 NVMf based Integration of Non-volatile Memory in a Distributed System - Lessons learned Jonas Pfefferle, Bernard Metzler, Patrick Stuedi, Animesh Trivedi and Adrian Schuepbach

More information

Network Design Considerations for Grid Computing

Network Design Considerations for Grid Computing Network Design Considerations for Grid Computing Engineering Systems How Bandwidth, Latency, and Packet Size Impact Grid Job Performance by Erik Burrows, Engineering Systems Analyst, Principal, Broadcom

More information

The NE010 iwarp Adapter

The NE010 iwarp Adapter The NE010 iwarp Adapter Gary Montry Senior Scientist +1-512-493-3241 GMontry@NetEffect.com Today s Data Center Users Applications networking adapter LAN Ethernet NAS block storage clustering adapter adapter

More information

NVMe over Fabrics. High Performance SSDs networked over Ethernet. Rob Davis Vice President Storage Technology, Mellanox

NVMe over Fabrics. High Performance SSDs networked over Ethernet. Rob Davis Vice President Storage Technology, Mellanox NVMe over Fabrics High Performance SSDs networked over Ethernet Rob Davis Vice President Storage Technology, Mellanox Ilker Cebeli Senior Director of Product Planning, Samsung May 3, 2017 Storage Performance

More information

LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance

LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance 11 th International LS-DYNA Users Conference Computing Technology LS-DYNA Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA Performance Gilad Shainer 1, Tong Liu 2, Jeff Layton

More information

ADINA DMP System 9.3 Installation Notes

ADINA DMP System 9.3 Installation Notes ADINA DMP System 9.3 Installation Notes for Linux (only) Updated for version 9.3.2 ADINA R & D, Inc. 71 Elton Avenue Watertown, MA 02472 support@adina.com www.adina.com ADINA DMP System 9.3 Installation

More information

Fast-track Hybrid IT Transformation with Intel Data Center Blocks for Cloud

Fast-track Hybrid IT Transformation with Intel Data Center Blocks for Cloud Fast-track Hybrid IT Transformation with Intel Data Center Blocks for Cloud Kyle Corrigan, Cloud Product Line Manager, Intel Server Products Group Wagner Diaz, Product Marketing Engineer, Intel Data Center

More information

MM5 Modeling System Performance Research and Profiling. March 2009

MM5 Modeling System Performance Research and Profiling. March 2009 MM5 Modeling System Performance Research and Profiling March 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox HPC Advisory Council Cluster Center

More information

Networking at the Speed of Light

Networking at the Speed of Light Networking at the Speed of Light Dror Goldenberg VP Software Architecture MaRS Workshop April 2017 Cloud The Software Defined Data Center Resource virtualization Efficient services VM, Containers uservices

More information

Building the Most Efficient Machine Learning System

Building the Most Efficient Machine Learning System Building the Most Efficient Machine Learning System Mellanox The Artificial Intelligence Interconnect Company June 2017 Mellanox Overview Company Headquarters Yokneam, Israel Sunnyvale, California Worldwide

More information

Dell EMC Ready Bundle for HPC Digital Manufacturing ANSYS Performance

Dell EMC Ready Bundle for HPC Digital Manufacturing ANSYS Performance Dell EMC Ready Bundle for HPC Digital Manufacturing ANSYS Performance This Dell EMC technical white paper discusses performance benchmarking results and analysis for ANSYS Mechanical, ANSYS Fluent, and

More information

In-Network Computing. Paving the Road to Exascale. 5th Annual MVAPICH User Group (MUG) Meeting, August 2017

In-Network Computing. Paving the Road to Exascale. 5th Annual MVAPICH User Group (MUG) Meeting, August 2017 In-Network Computing Paving the Road to Exascale 5th Annual MVAPICH User Group (MUG) Meeting, August 2017 Exponential Data Growth The Need for Intelligent and Faster Interconnect CPU-Centric (Onload) Data-Centric

More information

FCoE at 40Gbps with FC-BB-6

FCoE at 40Gbps with FC-BB-6 FCoE at 40Gbps with FC-BB-6 Line Rate Throughput and 2M+ IOPS over Terminator 5 Executive Summary This paper presents FCoE performance results for Chelsio s latest Terminator 5 (T5) ASIC running at 40Gbps.

More information

Deep Learning Performance and Cost Evaluation

Deep Learning Performance and Cost Evaluation Micron 5210 ION Quad-Level Cell (QLC) SSDs vs 7200 RPM HDDs in Centralized NAS Storage Repositories A Technical White Paper Don Wang, Rene Meyer, Ph.D. info@ AMAX Corporation Publish date: October 25,

More information

High Performance Interconnects: Landscape, Assessments & Rankings

High Performance Interconnects: Landscape, Assessments & Rankings High Performance Interconnects: Landscape, Assessments & Rankings Dan Olds Partner, OrionX April 12, 2017 Specialized 100G InfiniBand MPI Multi-Rack OPA Single-Rack HPI market segment 100G 40G 10G TCP/IP

More information

OFA Developer Workshop 2014

OFA Developer Workshop 2014 OFA Developer Workshop 2014 Shared Memory Communications over RDMA (SMC-R): Update Jerry Stevens IBM sjerry@us.ibm.com Trademarks, copyrights and disclaimers IBM, the IBM logo, and ibm.com are trademarks

More information

Dell EMC Ready Bundle for HPC Digital Manufacturing Dassault Systѐmes Simulia Abaqus Performance

Dell EMC Ready Bundle for HPC Digital Manufacturing Dassault Systѐmes Simulia Abaqus Performance Dell EMC Ready Bundle for HPC Digital Manufacturing Dassault Systѐmes Simulia Abaqus Performance This Dell EMC technical white paper discusses performance benchmarking results and analysis for Simulia

More information

Solutions for Scalable HPC

Solutions for Scalable HPC Solutions for Scalable HPC Scot Schultz, Director HPC/Technical Computing HPC Advisory Council Stanford Conference Feb 2014 Leading Supplier of End-to-End Interconnect Solutions Comprehensive End-to-End

More information

Implementing SQL Server 2016 with Microsoft Storage Spaces Direct on Dell EMC PowerEdge R730xd

Implementing SQL Server 2016 with Microsoft Storage Spaces Direct on Dell EMC PowerEdge R730xd Implementing SQL Server 2016 with Microsoft Storage Spaces Direct on Dell EMC PowerEdge R730xd Performance Study Dell EMC Engineering October 2017 A Dell EMC Performance Study Revisions Date October 2017

More information

Performance of RDMA and HPC Applications in Virtual Machines using FDR InfiniBand on VMware vsphere T E C H N I C A L W H I T E P A P E R

Performance of RDMA and HPC Applications in Virtual Machines using FDR InfiniBand on VMware vsphere T E C H N I C A L W H I T E P A P E R Performance of RDMA and HPC Applications in Virtual Machines using FDR InfiniBand on VMware vsphere T E C H N I C A L W H I T E P A P E R Table of Contents Introduction... 2 Cloud Model for HPC... 2 High

More information

unleashed the future Intel Xeon Scalable Processors for High Performance Computing Alexey Belogortsev Field Application Engineer

unleashed the future Intel Xeon Scalable Processors for High Performance Computing Alexey Belogortsev Field Application Engineer the future unleashed Alexey Belogortsev Field Application Engineer Intel Xeon Scalable Processors for High Performance Computing Growing Challenges in System Architecture The Walls System Bottlenecks Divergent

More information

ARISTA: Improving Application Performance While Reducing Complexity

ARISTA: Improving Application Performance While Reducing Complexity ARISTA: Improving Application Performance While Reducing Complexity October 2008 1.0 Problem Statement #1... 1 1.1 Problem Statement #2... 1 1.2 Previous Options: More Servers and I/O Adapters... 1 1.3

More information

Performance Analysis and Evaluation of Mellanox ConnectX InfiniBand Architecture with Multi-Core Platforms

Performance Analysis and Evaluation of Mellanox ConnectX InfiniBand Architecture with Multi-Core Platforms Performance Analysis and Evaluation of Mellanox ConnectX InfiniBand Architecture with Multi-Core Platforms Sayantan Sur, Matt Koop, Lei Chai Dhabaleswar K. Panda Network Based Computing Lab, The Ohio State

More information

LAMMPSCUDA GPU Performance. April 2011

LAMMPSCUDA GPU Performance. April 2011 LAMMPSCUDA GPU Performance April 2011 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Dell, Intel, Mellanox Compute resource - HPC Advisory Council

More information

2017 Storage Developer Conference. Mellanox Technologies. All Rights Reserved.

2017 Storage Developer Conference. Mellanox Technologies. All Rights Reserved. Ethernet Storage Fabrics Using RDMA with Fast NVMe-oF Storage to Reduce Latency and Improve Efficiency Kevin Deierling & Idan Burstein Mellanox Technologies 1 Storage Media Technology Storage Media Access

More information

VPI / InfiniBand. Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability

VPI / InfiniBand. Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability VPI / InfiniBand Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability Mellanox enables the highest data center performance with its

More information

CESM (Community Earth System Model) Performance Benchmark and Profiling. August 2011

CESM (Community Earth System Model) Performance Benchmark and Profiling. August 2011 CESM (Community Earth System Model) Performance Benchmark and Profiling August 2011 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Intel, Dell,

More information

Learn Your Alphabet - SRIOV, NPIV, RoCE, iwarp to Pump Up Virtual Infrastructure Performance

Learn Your Alphabet - SRIOV, NPIV, RoCE, iwarp to Pump Up Virtual Infrastructure Performance Learn Your Alphabet - SRIOV, NPIV, RoCE, iwarp to Pump Up Virtual Infrastructure Performance TechTarget Dennis Martin 1 Agenda About Demartek I/O Virtualization Concepts RDMA Concepts Examples Demartek

More information

VPI / InfiniBand. Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability

VPI / InfiniBand. Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability VPI / InfiniBand Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability Mellanox enables the highest data center performance with its

More information

ASPERA HIGH-SPEED TRANSFER. Moving the world s data at maximum speed

ASPERA HIGH-SPEED TRANSFER. Moving the world s data at maximum speed ASPERA HIGH-SPEED TRANSFER Moving the world s data at maximum speed ASPERA HIGH-SPEED FILE TRANSFER 80 GBIT/S OVER IP USING DPDK Performance, Code, and Architecture Charles Shiflett Developer of next-generation

More information

Evaluation of Chelsio Terminator 6 (T6) Unified Wire Adapter iscsi Offload

Evaluation of Chelsio Terminator 6 (T6) Unified Wire Adapter iscsi Offload November 2017 Evaluation of Chelsio Terminator 6 (T6) Unified Wire Adapter iscsi Offload Initiator and target iscsi offload improve performance and reduce processor utilization. Executive Summary The Chelsio

More information

Netronome 25GbE SmartNICs with Open vswitch Hardware Offload Drive Unmatched Cloud and Data Center Infrastructure Performance

Netronome 25GbE SmartNICs with Open vswitch Hardware Offload Drive Unmatched Cloud and Data Center Infrastructure Performance WHITE PAPER Netronome 25GbE SmartNICs with Open vswitch Hardware Offload Drive Unmatched Cloud and NETRONOME AGILIO CX 25GBE SMARTNICS SIGNIFICANTLY OUTPERFORM MELLANOX CONNECTX-5 25GBE NICS UNDER HIGH-STRESS

More information

Altair OptiStruct 13.0 Performance Benchmark and Profiling. May 2015

Altair OptiStruct 13.0 Performance Benchmark and Profiling. May 2015 Altair OptiStruct 13.0 Performance Benchmark and Profiling May 2015 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Intel, Dell, Mellanox Compute

More information

2008 International ANSYS Conference

2008 International ANSYS Conference 2008 International ANSYS Conference Maximizing Productivity With InfiniBand-Based Clusters Gilad Shainer Director of Technical Marketing Mellanox Technologies 2008 ANSYS, Inc. All rights reserved. 1 ANSYS,

More information

STAR-CCM+ Performance Benchmark and Profiling. July 2014

STAR-CCM+ Performance Benchmark and Profiling. July 2014 STAR-CCM+ Performance Benchmark and Profiling July 2014 Note The following research was performed under the HPC Advisory Council activities Participating vendors: CD-adapco, Intel, Dell, Mellanox Compute

More information

MELLANOX EDR UPDATE & GPUDIRECT MELLANOX SR. SE 정연구

MELLANOX EDR UPDATE & GPUDIRECT MELLANOX SR. SE 정연구 MELLANOX EDR UPDATE & GPUDIRECT MELLANOX SR. SE 정연구 Leading Supplier of End-to-End Interconnect Solutions Analyze Enabling the Use of Data Store ICs Comprehensive End-to-End InfiniBand and Ethernet Portfolio

More information

iser as accelerator for Software Defined Storage Rahul Fiske, Subhojit Roy IBM (India)

iser as accelerator for Software Defined Storage Rahul Fiske, Subhojit Roy IBM (India) iser as accelerator for Software Defined Storage Rahul Fiske, Subhojit Roy IBM (India) Agenda Network storage virtualization Current state of Fiber Channel iscsi seeing significant adoption Emergence of

More information

Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability

Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability Performance Accelerated Mellanox InfiniBand Adapters Provide Advanced Data Center Performance, Efficiency and Scalability Mellanox InfiniBand Host Channel Adapters (HCA) enable the highest data center

More information

Jim Harris. Principal Software Engineer. Intel Data Center Group

Jim Harris. Principal Software Engineer. Intel Data Center Group Jim Harris Principal Software Engineer Intel Data Center Group Notices & Disclaimers Intel technologies features and benefits depend on system configuration and may require enabled hardware, software or

More information

IBM Power AC922 Server

IBM Power AC922 Server IBM Power AC922 Server The Best Server for Enterprise AI Highlights More accuracy - GPUs access system RAM for larger models Faster insights - significant deep learning speedups Rapid deployment - integrated

More information

SMB Direct Update. Tom Talpey and Greg Kramer Microsoft Storage Developer Conference. Microsoft Corporation. All Rights Reserved.

SMB Direct Update. Tom Talpey and Greg Kramer Microsoft Storage Developer Conference. Microsoft Corporation. All Rights Reserved. SMB Direct Update Tom Talpey and Greg Kramer Microsoft 1 Outline Part I Ecosystem status and updates SMB 3.02 status SMB Direct applications RDMA protocols and networks Part II SMB Direct details Protocol

More information

Solarflare and OpenOnload Solarflare Communications, Inc.

Solarflare and OpenOnload Solarflare Communications, Inc. Solarflare and OpenOnload 2011 Solarflare Communications, Inc. Solarflare Server Adapter Family Dual Port SFP+ SFN5122F & SFN5162F Single Port SFP+ SFN5152F Single Port 10GBASE-T SFN5151T Dual Port 10GBASE-T

More information

CP2K Performance Benchmark and Profiling. April 2011

CP2K Performance Benchmark and Profiling. April 2011 CP2K Performance Benchmark and Profiling April 2011 Note The following research was performed under the HPC Advisory Council HPC works working group activities Participating vendors: HP, Intel, Mellanox

More information

Virtual Switch Acceleration with OVS-TC

Virtual Switch Acceleration with OVS-TC WHITE PAPER Virtual Switch Acceleration with OVS-TC HARDWARE ACCELERATED OVS-TC PROVIDES BETTER CPU EFFICIENCY, LOWER COMPLEXITY, ENHANCED SCALABILITY AND INCREASED NETWORK PERFORMANCE COMPARED TO KERNEL-

More information

Improving Altibase Performance with Solarflare 10GbE Server Adapters and OpenOnload

Improving Altibase Performance with Solarflare 10GbE Server Adapters and OpenOnload Improving Altibase Performance with Solarflare 10GbE Server Adapters and OpenOnload Summary As today s corporations process more and more data, the business ramifications of faster and more resilient database

More information

LS-DYNA Performance Benchmark and Profiling. October 2017

LS-DYNA Performance Benchmark and Profiling. October 2017 LS-DYNA Performance Benchmark and Profiling October 2017 2 Note The following research was performed under the HPC Advisory Council activities Participating vendors: LSTC, Huawei, Mellanox Compute resource

More information

BITUG Big Sig December 2013 NonStop Performance Update David Sly HP UK Tech Services

BITUG Big Sig December 2013 NonStop Performance Update David Sly HP UK Tech Services BITUG Big Sig December 2013 NonStop Performance Update David Sly HP UK Tech Services 1 HP confidential information This is a rolling (up to three year) Roadmap and is subject to change without notice.

More information

NAMD GPU Performance Benchmark. March 2011

NAMD GPU Performance Benchmark. March 2011 NAMD GPU Performance Benchmark March 2011 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Dell, Intel, Mellanox Compute resource - HPC Advisory

More information

Storage Protocol Offload for Virtualized Environments Session 301-F

Storage Protocol Offload for Virtualized Environments Session 301-F Storage Protocol Offload for Virtualized Environments Session 301-F Dennis Martin, President August 2016 1 Agenda About Demartek Offloads I/O Virtualization Concepts RDMA Concepts Overlay Networks and

More information

The rcuda middleware and applications

The rcuda middleware and applications The rcuda middleware and applications Will my application work with rcuda? rcuda currently provides binary compatibility with CUDA 5.0, virtualizing the entire Runtime API except for the graphics functions,

More information

LS-DYNA Performance Benchmark and Profiling. October 2017

LS-DYNA Performance Benchmark and Profiling. October 2017 LS-DYNA Performance Benchmark and Profiling October 2017 2 Note The following research was performed under the HPC Advisory Council activities Participating vendors: LSTC, Huawei, Mellanox Compute resource

More information

CLN4C44. ConnectX -4 Quad Port 25Gb/s Adapter. User Manual. Rev. 1.0

CLN4C44. ConnectX -4 Quad Port 25Gb/s Adapter. User Manual. Rev. 1.0 CLN4C44 ConnectX -4 Quad Port 25Gb/s Adapter User Manual Rev. 1.0 Chapter 1 Features The following is a list of features for your CLN4C44 Network Adapter: Four SPF28 LAN Connectors MD2 Low-Profile Form

More information

ASPERA HIGH-SPEED TRANSFER. Moving the world s data at maximum speed

ASPERA HIGH-SPEED TRANSFER. Moving the world s data at maximum speed ASPERA HIGH-SPEED TRANSFER Moving the world s data at maximum speed ASPERA HIGH-SPEED FILE TRANSFER Aspera FASP Data Transfer at 80 Gbps Elimina8ng tradi8onal bo

More information

Deep Learning Performance and Cost Evaluation

Deep Learning Performance and Cost Evaluation Micron 5210 ION Quad-Level Cell (QLC) SSDs vs 7200 RPM HDDs in Centralized NAS Storage Repositories A Technical White Paper Rene Meyer, Ph.D. AMAX Corporation Publish date: October 25, 2018 Abstract Introduction

More information

Andreas Schneider. Markus Leberecht. Senior Cloud Solution Architect, Intel Deutschland. Distribution Sales Manager, Intel Deutschland

Andreas Schneider. Markus Leberecht. Senior Cloud Solution Architect, Intel Deutschland. Distribution Sales Manager, Intel Deutschland Markus Leberecht Senior Cloud Solution Architect, Intel Deutschland Andreas Schneider Distribution Sales Manager, Intel Deutschland Legal Disclaimers 2016 Intel Corporation. Intel, the Intel logo, Xeon

More information

Oracle Exadata X7. Uwe Kirchhoff Oracle ACS - Delivery Senior Principal Service Delivery Engineer

Oracle Exadata X7. Uwe Kirchhoff Oracle ACS - Delivery Senior Principal Service Delivery Engineer Oracle Exadata X7 Uwe Kirchhoff Oracle ACS - Delivery Senior Principal Service Delivery Engineer 05.12.2017 Oracle Engineered Systems ZFS Backup Appliance Zero Data Loss Recovery Appliance Exadata Database

More information

IBM Power Advanced Compute (AC) AC922 Server

IBM Power Advanced Compute (AC) AC922 Server IBM Power Advanced Compute (AC) AC922 Server The Best Server for Enterprise AI Highlights IBM Power Systems Accelerated Compute (AC922) server is an acceleration superhighway to enterprise- class AI. A

More information

Changpeng Liu. Senior Storage Software Engineer. Intel Data Center Group

Changpeng Liu. Senior Storage Software Engineer. Intel Data Center Group Changpeng Liu Senior Storage Software Engineer Intel Data Center Group Legal Notices and Disclaimers Intel technologies features and benefits depend on system configuration and may require enabled hardware,

More information

EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures

EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures Haiyang Shi, Xiaoyi Lu, and Dhabaleswar K. (DK) Panda {shi.876, lu.932, panda.2}@osu.edu The Ohio State University

More information

Introduction to Infiniband

Introduction to Infiniband Introduction to Infiniband FRNOG 22, April 4 th 2014 Yael Shenhav, Sr. Director of EMEA, APAC FAE, Application Engineering The InfiniBand Architecture Industry standard defined by the InfiniBand Trade

More information

Interconnect Your Future

Interconnect Your Future Interconnect Your Future Gilad Shainer 2nd Annual MVAPICH User Group (MUG) Meeting, August 2014 Complete High-Performance Scalable Interconnect Infrastructure Comprehensive End-to-End Software Accelerators

More information

IBM B2B INTEGRATOR BENCHMARKING IN THE SOFTLAYER ENVIRONMENT

IBM B2B INTEGRATOR BENCHMARKING IN THE SOFTLAYER ENVIRONMENT IBM B2B INTEGRATOR BENCHMARKING IN THE SOFTLAYER ENVIRONMENT 215-4-14 Authors: Deep Chatterji (dchatter@us.ibm.com) Steve McDuff (mcduffs@ca.ibm.com) CONTENTS Disclaimer...3 Pushing the limits of B2B Integrator...4

More information

Building the Most Efficient Machine Learning System

Building the Most Efficient Machine Learning System Building the Most Efficient Machine Learning System Mellanox The Artificial Intelligence Interconnect Company June 2017 Mellanox Overview Company Headquarters Yokneam, Israel Sunnyvale, California Worldwide

More information

Evaluating the Impact of RDMA on Storage I/O over InfiniBand

Evaluating the Impact of RDMA on Storage I/O over InfiniBand Evaluating the Impact of RDMA on Storage I/O over InfiniBand J Liu, DK Panda and M Banikazemi Computer and Information Science IBM T J Watson Research Center The Ohio State University Presentation Outline

More information

TIBCO, HP and Mellanox High Performance Extreme Low Latency Messaging

TIBCO, HP and Mellanox High Performance Extreme Low Latency Messaging TIBCO, HP and Mellanox High Performance Extreme Low Latency Messaging Executive Summary: With the recent release of TIBCO FTL TM, TIBCO is once again changing the game when it comes to providing high performance

More information

Software Defined Storage at the Speed of Flash. PRESENTATION TITLE GOES HERE Carlos Carrero Rajagopal Vaideeswaran Symantec

Software Defined Storage at the Speed of Flash. PRESENTATION TITLE GOES HERE Carlos Carrero Rajagopal Vaideeswaran Symantec Software Defined Storage at the Speed of Flash PRESENTATION TITLE GOES HERE Carlos Carrero Rajagopal Vaideeswaran Symantec Agenda Introduction Software Technology Architecture Review Oracle Configuration

More information