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Mellanox Technologies Announces the Appointment of Dave Sheffler As Vice President of Worldwide Sales
MELLANOX TECHNOLOGIES ANNOUNCES THE APPOINTMENT OF DAVE SHEFFLER AS VICE PRESIDENT OF WORLDWIDE SALES Former VP of AMD joins InfiniBand Internet Infrastructure Startup SANTA CLARA, CA – January 17, 2000 – Mellanox Technologies, a fabless semiconductor startup company developing InfiniBand semiconductors for the Internet infrastructure, today announced the appointment of Dave Sheffler as its Vice President of Worldwide Sales, reporting to Eyal Waldman, Chief Executive Officer and Chairman of the Board. “Dave Sheffler possesses the leadership, business capabilities, and experience which complement the formidable engineering, marketing, and operations talent that Mellanox has assembled. He combines the highest standards of ethics and achievements, with an outstanding record of grow- ing sales in highly competitive and technical markets. The addition of Dave to the team brings an additional experienced business perspective and will enable Mellanox to develop its sales organi- zation and provide its customers the highest level of technical and logistical support,” said Eyal Waldman. Prior to joining Mellanox Dave served as Vice President of Sales and Marketing for the Americas for Advanced Micro Devices (NYSE: AMD). Previously, Mr. Sheffler was the VP of Worldwide Sales for Nexgen Inc., where he was part of the senior management team that guided the company’s growth, leading to a successful IPO and eventual sale to AMD in January 1996. Mellanox Technologies Inc. 2900 Stender Way, Santa Clara, CA 95054 Tel: 408-970-3400 Fax: 408-970-3403 www.mellanox.com 1 Mellanox Technologies Inc MELLANOX TECHNOLOGIES ANNOUNCES THE APPOINTMENT OF DAVE SHEFFLER AS VICE PRESIDENT OF WORLDWIDE Dave’s track record demonstrates that he will be able to build a sales organization of the highest caliber. -
IBM Cloud Web
IBM’s iDataPlex with Mellanox® ConnectX® InfiniBand Adapters Dual-Port ConnectX 20 and 40Gb/s InfiniBand PCIe Adapters Data center cost structures are shifting, from equipment-focused to space-, power- and personnel-focused. Total cost of owner- ship and green initiatives are major spending drivers as data centers are being refreshed. Topping off those challenges is the rapid evolution of information technology becoming a competitive advantage through business process management and deployment of service oriented architectures. I/O technology plays a key role in meeting many of the spending drivers – provisioning capacity for future growth, efficient scaling of compute, LAN and SAN capacity, reduction of space and power in the data center helping reduce TCO and doing so while enhancing data center agility. IBM iDataPlex and ConnectX InfiniBand Adapter Cards IBM’s iDataPlex with Mellanox ConnectX InfiniBand adapters High-Performance for the Flexible Data Center offers a solution that is eco-friendly, flexible, responsive, and Scientists, engineers, and analysts eager to solve challenging positioned to address the evolving requirements of Internet-Scale problems in engineering, financial markets, and the life and earth and High-Performance sciences rely on high-performance systems. In addition, with the use of multi-core CPUs, virtualized infrastructures and networked Unprecedented Performance, Scalability, and storage, users are demanding increased efficiency of the entire Efficiency for Cloud Computing IT compute and storage infrastructure. -
MLNX OFED Documentation Rev 5.0-2.1.8.0
MLNX_OFED Documentation Rev 5.0-2.1.8.0 Exported on May/21/2020 06:13 AM https://docs.mellanox.com/x/JLV-AQ Notice This document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition, or quality of a product. NVIDIA Corporation (“NVIDIA”) makes no representations or warranties, expressed or implied, as to the accuracy or completeness of the information contained in this document and assumes no responsibility for any errors contained herein. NVIDIA shall have no liability for the consequences or use of such information or for any infringement of patents or other rights of third parties that may result from its use. This document is not a commitment to develop, release, or deliver any Material (defined below), code, or functionality. NVIDIA reserves the right to make corrections, modifications, enhancements, improvements, and any other changes to this document, at any time without notice. Customer should obtain the latest relevant information before placing orders and should verify that such information is current and complete. NVIDIA products are sold subject to the NVIDIA standard terms and conditions of sale supplied at the time of order acknowledgement, unless otherwise agreed in an individual sales agreement signed by authorized representatives of NVIDIA and customer (“Terms of Sale”). NVIDIA hereby expressly objects to applying any customer general terms and conditions with regards to the purchase of the NVIDIA product referenced in this document. No contractual obligations are formed either directly or indirectly by this document. NVIDIA products are not designed, authorized, or warranted to be suitable for use in medical, military, aircraft, space, or life support equipment, nor in applications where failure or malfunction of the NVIDIA product can reasonably be expected to result in personal injury, death, or property or environmental damage. -
Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute
CORE Metadata, citation and similar papers at core.ac.uk Provided by DigitalCommons@WPI Worcester Polytechnic Institute Digital WPI Major Qualifying Projects (All Years) Major Qualifying Projects March 2017 Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute Matthew aJ mes Suarez Worcester Polytechnic Institute Robyn Angela Domanico Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/mqp-all Repository Citation Wang, L., Suarez, M. J., & Domanico, R. A. (2017). Adaptive Bitrate Streaming in Cloud Gaming. Retrieved from https://digitalcommons.wpi.edu/mqp-all/431 This Unrestricted is brought to you for free and open access by the Major Qualifying Projects at Digital WPI. It has been accepted for inclusion in Major Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact [email protected]. Adaptive Bitrate Streaming in Cloud Gaming A Major Qualifying Project submitted to the Faculty of Worcester Polytechnic Institute in partial fulfillment of the requirements for the Degree in Bachelor of Science Robyn Domanico Matt Suarez Lambert Wang frdomanico, mjsuarez, [email protected] Advised by Mark Claypool [email protected] March 19, 2017 1 Abstract Cloud gaming streams games as video from a server directly to a client device making it susceptible to network congestion. Adaptive bitrate streaming estimates the bottleneck capacity of a network and sets appropriate encoding parameters to avoid exceeding the bandwidth of the connection. BBR is a congestion control algorithm as an alternative to current loss-based congestion control. We designed and implemented a bitrate adaptation heuristic based on BBR into GamingAnywhere, an open source cloud gaming platform. -
GPU Developments 2018
GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR. -
Meridian Contrarian Fund Holdings As of 12/31/2016
Meridian Contrarian Fund Holdings as of 12/31/2016 Ticker Security Name % Allocation NVDA NVIDIA CORP 5.8% MSFT MICROSOFT CORP 4.1% CFG CITIZENS FINANCIAL GROUP INC 3.8% ALEX ALEXANDER & BALDWIN INC 3.5% EOG EOG RESOURCES INC 3.3% CACI CACI INTERNATIONAL INC 3.3% USB US BANCORP 3.1% XYL XYLEM INC/NY 2.7% TOT TOTAL SA 2.6% VRNT VERINT SYSTEMS INC 2.5% CELG CELGENE CORP 2.4% BOH BANK OF HAWAII CORP 2.2% GIL GILDAN ACTIVEWEAR INC 2.1% LVS LAS VEGAS SANDS CORP 2.0% MLNX MELLANOX TECHNOLOGIES LTD 2.0% AAPL APPLE INC 1.9% ENS ENERSYS 1.8% ZBRA ZEBRA TECHNOLOGIES CORP 1.8% MU MICRON TECHNOLOGY INC 1.7% RYN RAYONIER INC 1.7% KLXI KLX INC 1.7% TRMB TRIMBLE INC 1.6% IRDM IRIDIUM COMMUNICATIONS INC 1.5% QCOM QUALCOMM INC 1.5% Investors should consider the investment objective and policies, risk considerations, charges and ongoing expense of an investment carefully before investing. The prospectus and summary prospectus contains this and other information relevant to an investment in the Fund. Please read the prospectus or summary prospectus carefully before you invest or send money. To obtain a prospectus, please contact your investment representative or access the Meridian Funds’ website at www.meridianfund.com. ALPS Distributors, Inc., a member FINRA is the distributor of the Meridian Mutual Funds, advised by Arrowpoint Asset Management, LLC. ALPS, Meridian and Arrowpoint are unaffiliated. Arrowpoint Partners is a trade name for Arrowpoint Asset Management, LLC., a registered investment adviser. The portfolio holdings for the Meridian Funds are published on the Funds' website on a calendar quarter basis, no earlier than 30 days after the end of the quarter. -
Storage for HPC and AI
Storage for HPC and AI Make breakthroughs faster with artificial intelligence powered by high performance computing systems and storage BETTER PERFORMANCE Unlock the value of data with high performance storage built for HPC. The flood of information generated by sensors, satellites, simulations, high-throughput devices and medical imaging is pushing data repositories to sizes that were once inconceivable. Data analytics, high performance computing (HPC) and artificial intelligence (AI) are technologies designed to unlock the value of all that data, driving the demand for powerful HPC systems and the storage to support them. Reliable, efficient and easy-to-adopt HPC storage is the key to enabling today’s powerful HPC systems to deliver transformative decision making, business growth and operational efficiencies in the data-driven age. Dell Technologies | Ready Solutions for HPC 2 THE INTELLIGENCE BEHIND DATA INSIGHTS Articial Machine Deep intelligence learning learning AI is a complex set of technologies underpinned by machine learning (ML) and deep learning (DL) algorithms, typically run on powerful HPC systems and storage. Together, they enable organizations to gain deeper insights from data. AI is an umbrella term that describes a machine’s ability to act autonomously and/or interact in a human-like way. ML refers to the ability of a machine to perform a programmed function with the data The capabilities of AI, ML and DL can unleash predictive and prescriptive analytics on a given to it, getting progressively better at the task over time as it analyzes more data massive scale. Like lenses, AI, ML and DL can be used in combination or alone — depending and receives feedback from users or engineers. -
NVIDIA Quadro RTX for V-Ray Next
NVIDIA QUADRO RTX V-RAY NEXT GPU Image courtesy of © Dabarti Studio, rendered with V-Ray GPU Quadro RTX Accelerates V-Ray Next GPU Rendering Solutions for V-Ray Next GPU V-Ray Next GPU taps into the power of NVIDIA® Quadro® NVIDIA Quadro® provides a wide range of RTX-enabled RTX™ to speed up production rendering with dedicated RT solutions for desktop, mobile, server-based rendering, and Cores for ray tracing and Tensor Cores for AI-accelerated virtual workstations with NVIDIA Quadro Virtual Data denoising.¹ With up to 18X faster rendering than CPU-based Center Workstation (Quadro vDWS) software.2 With up to 96 solutions and enhanced performance with NVIDIA NVLink™, gigabytes (GB) of GPU memory available,3 Quadro RTX V-Ray Next GPU with RTX support provides incredible provides the power you need for the largest professional performance improvements for your rendering workloads. graphics and rendering workloads. “ Accelerating artist productivity is always our top Benchmark: V-Ray Next GPU Rendering Performance Increase on Quadro RTX GPUs priority, so we’re quick to take advantage of the latest ray-tracing hardware breakthroughs. By Quadro RTX 6000 x2 1885 ™ Quadro RTX 6000 104 supporting NVIDIA RTX in V-Ray GPU, we’re Quadro RTX 4000 783 bringing our customers an exciting new boost in PU 1 0 2 4 6 8 10 12 14 16 18 20 their GPU production rendering speeds.” Relatve Performance – Phillip Miller, Vice President, Product Management, Chaos Group Desktop performance Tests run on 1x Xeon old 6154 3 Hz (37 Hz Turbo), 64 B DDR4 RAM Wn10x64 Drver verson 44128 Performance results may vary dependng on the scene NVIDIA Quadro professional graphics solutions are verified and recommended for the most demanding projects by Chaos Group. -
RTX-Accelerated Hair Brought to Life with NVIDIA Iray (GTC 2020 S22494)
RTX-accelerated Hair brought to Life with NVIDIA Iray (GTC 2020 S22494) Carsten Waechter, March 2020 What is Iray? Production Rendering on CUDA In Production since > 10 Years Bring ray tracing based production / simulation quality rendering to GPUs New paradigm: Push Button rendering (open up new markets) Plugins for 3ds Max Maya Rhino SketchUp … … … 2 What is Iray? NVIDIA testbed and inspiration for new tech NVIDIA Material Definition Language (MDL) evolved from internal material representation into public SDK NVIDIA OptiX 7 co-development, verification and guinea pig NVIDIA RTX / RT Cores scene- and ray-dumps to drive hardware requirements NVIDIA Maxwell…NVIDIA Turing (& future) enhancements profiling/experiments resulting in new features/improvements Design and test/verify NVIDIA’s new Headquarter (in VR) close cooperation with Gensler 3 Simulation Quality 4 iray legacy Artistic Freedom 5 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple GPUs and hosts even in interactive use • Two-way path tracing from camera and (opt.) lights • Use NVIDIA Material Definition Language (MDL) • NVIDIA AI Denoiser to clean up remaining noise 6 How Does it Work? 99% physically based Path Tracing To guarantee simulation quality and Push Button • Limit shortcuts and good enough hacks to minimum • Brute force (spectral) simulation no intermediate filtering scale over multiple -
Mellanox for Big Data
Mellanox for Big Data March 2013 Company Overview Ticker: MLNX . Leading provider of high-throughput, low-latency server and storage interconnect • FDR 56Gb/s InfiniBand and 10/40/56GbE • Reduces application wait-time for data • Dramatically increases ROI on data center infrastructure . Company headquarters: • Yokneam, Israel; Sunnyvale, California • ~1,160 employees* worldwide . Solid financial position • Record revenue in FY12; $500.8M • Q1’13 guidance ~$78M to $83M • Cash + investments @ 12/31/12 = $426.3M * As of December 2012 © 2013 Mellanox Technologies 2 Leading Supplier of End-to-End Interconnect Solutions Storage Server / Compute Switch / Gateway Front / Back-End Virtual Protocol Interconnect Virtual Protocol Interconnect 56G IB & FCoIB 56G InfiniBand 10/40/56GbE & FCoE 10/40/56GbE Fibre Channel Comprehensive End-to-End InfiniBand and Ethernet Portfolio ICs Adapter Cards Switches/Gateways Host/Fabric Software Cables © 2013 Mellanox Technologies 3 RDMA | Efficiency, Latency, & Application Performance Without RDMA With RDMA and Offload ~53% CPU ~88% CPU Utilization Utilization User SpaceUser SpaceUser ~47% CPU ~12% CPU Overhead/Idle Overhead/Idle System System Space System System Space © 2013 Mellanox Technologies 4 Big Data Solutions © 2013 Mellanox Technologies 5 Big Data Needs Big Pipes . Capabilities are Determined by the weakest component in the system . Different approaches in Big Data marketplace – Same needs • Better Throughput and Latency • Scalable, Faster data Movement Big Data Applications Require High Bandwidth and Low Latency Interconnect * Data Source: Intersect360 Research, 2012, IT and Data scientists survey © 2013 Mellanox Technologies 6 Unstructured Data Accelerator - UDA . Plug-in architecture • Open-source Hive Pig - https://code.google.com/p/uda-plugin/ MapMap ReduceReduce HBase . -
Dual-Port Adapter with Virtual Protocol Interconnect for Dell Poweredge
ADAPTER CARDS ConnectX®-2 VPI Dual-Port adapter with Virtual Protocol Interconnect ® for Dell PowerEdge C6100-series Rack Servers ConnectX-2 adapter cards with Virtual Protocol Interconnect (VPI) supporting InfiniBand and Ethernet connectivity provide the highest performing and most flexible interconnect solution for Enterprise Data Centers, High-Performance Computing, and Embedded environments. Clustered data bases, parallel processing, transactional services and high-performance embedded I/O applications will achieve significant performance improvements resulting in reduced completion time and lower cost per operation. ConnectX-2 with VPI also simplifies network deployment by consolidating cables and enhancing performance in virtualized server environments. Virtual Protocol Interconnect BENEFITS VPI-enabled adapters make it possible for Dell PowerEdge C6100-series Rack Servers to operate – One adapter for InfiniBand, 10 Gigabit over any converged network leveraging a consolidated software stack. With auto-sense capability, Ethernet or Data Center Bridging fabrics each ConnectX-2 port can identify and operate on InfiniBand, Ethernet, or Data Center Bridging – World-class cluster performance (DCB) fabrics. FlexBoot™ provides additional flexibility by enabling servers to boot from remote – High-performance networking and storage InfiniBand or LAN storage targets. ConnectX-2 with VPI and FlexBoot simplifies I/O system design access and makes it easier for IT managers to deploy infrastructure that meets the challenges of a – Guaranteed bandwidth and low-latency dynamic data center. services – Reliable transport World-Class Performance – I/O consolidation InfiniBand —ConnectX-2 delivers low latency, high bandwidth, and computing efficiency for – Virtualization acceleration performance-driven server and storage clustering applications. Efficient computing is achieved by – Scales to tens-of-thousands of nodes offloading from the CPU routine activities which allows more processor power for the application. -
MSI Afterburner V4.6.4
MSI Afterburner v4.6.4 MSI Afterburner is ultimate graphics card utility, co-developed by MSI and RivaTuner teams. Please visit https://msi.com/page/afterburner to get more information about the product and download new versions SYSTEM REQUIREMENTS: ...................................................................................................................................... 3 FEATURES: ............................................................................................................................................................. 3 KNOWN LIMITATIONS:........................................................................................................................................... 4 REVISION HISTORY: ................................................................................................................................................ 5 VERSION 4.6.4 .............................................................................................................................................................. 5 VERSION 4.6.3 (PUBLISHED ON 03.03.2021) .................................................................................................................... 5 VERSION 4.6.2 (PUBLISHED ON 29.10.2019) .................................................................................................................... 6 VERSION 4.6.1 (PUBLISHED ON 21.04.2019) .................................................................................................................... 7 VERSION 4.6.0 (PUBLISHED ON