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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. -
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. -
Case Studies
Case studies November 2006 Buyouts Chorion New investment - UK - Media In May 2006, 3i and funds completed the This strong relationship with Waheed Alli acquisition of Chorion, a UK-based coupled with 3i’s in-depth media sector intellectual property owning, brand creation knowledge, through deals such as and management business, in a €198 Sparrowhawk Media and Pinewood million public to private transaction. Shepperton, secured the investment opportunity. Chorion, previously listed on AIM, generates revenue by charging royalties on The investment in Chorion represented an toy merchandising, book publishing and TV. opportunity to acquire a portfolio of high-quality It operates on a global basis, with a brands which have a proven track record of portfolio which includes well recognised publishing success and which are ripe for classic children’s brands such as Noddy, further development. Chorion has an excellent Famous Five, and the Mr Men, as well as platform from which to expand into new the works of crime writers such as Agatha geographic markets, and a proven Christie (Miss Marple and Poirot) and management team which is well placed to Georges Simenon (Maigret). capitalise on this opportunity with the strategic support and financial backing of 3i. 3i worked exclusively with Chorion’s Chairman Waheed Alli and the incumbent management team, responsible for almost trebling the value of the business since 2002, for nearly a year before the deal completed. Buyouts Azzurri Communications Realisation - UK - Technology During the six years that 3i was invested Azzurri made 15 strategic acquisitions and, combined with strong organic growth, a business with revenues of £115 million (for the year to June 2006) was built as a result. -
Gpus: the Hype, the Reality, and the Future
Uppsala Programming for Multicore Architectures Research Center GPUs: The Hype, The Reality, and The Future David Black-Schaffer Assistant Professor, Department of Informaon Technology Uppsala University David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 2 Today 1. The hype 2. What makes a GPU a GPU? 3. Why are GPUs scaling so well? 4. What are the problems? 5. What’s the Future? David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 3 THE HYPE David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 4 How Good are GPUs? 100x 3x David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 5 Real World SoVware • Press release 10 Nov 2011: – “NVIDIA today announced that four leading applicaons… have added support for mul<ple GPU acceleraon, enabling them to cut simulaon mes from days to hours.” • GROMACS – 2-3x overall – Implicit solvers 10x, PME simulaons 1x • LAMPS – 2-8x for double precision – Up to 15x for mixed • QMCPACK – 3x 2x is AWESOME! Most research claims 5-10%. David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 6 GPUs for Linear Algebra 5 CPUs = 75% of 1 GPU StarPU for MAGMA David Black-Schaffer Uppsala University / Department of Informaon Technology 25/11/2011 | 7 GPUs by the Numbers (Peak and TDP) 5 791 675 4 192 176 3 Intel 32nm vs. 40nm 36% smaller per transistor 2 244 250 3.0 Normalized to Intel 3960X 130 172 51 3.3 2.3 2.4 1 1.5 0.9 0 WaEs GFLOP Bandwidth -
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. -
Accelerating Applications with Pattern-Specific Optimizations On
Accelerating Applications with Pattern-specific Optimizations on Accelerators and Coprocessors Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Linchuan Chen, B.S., M.S. Graduate Program in Computer Science and Engineering The Ohio State University 2015 Dissertation Committee: Dr. Gagan Agrawal, Advisor Dr. P. Sadayappan Dr. Feng Qin ⃝c Copyright by Linchuan Chen 2015 Abstract Because of the bottleneck in the increase of clock frequency, multi-cores emerged as a way of improving the overall performance of CPUs. In the recent decade, many-cores begin to play a more and more important role in scientific computing. The highly cost- effective nature of many-cores makes them extremely suitable for data-intensive computa- tions. Specifically, many-cores are in the forms of GPUs (e.g., NVIDIA or AMD GPUs) and more recently, coprocessers (Intel MIC). Even though these highly parallel architec- tures offer significant amount of computation power, it is very hard to program them, and harder to fully exploit the computation power of them. Combing the power of multi-cores and many-cores, i.e., making use of the heterogeneous cores is extremely complicated. Our efforts have been made on performing optimizations to important sets of appli- cations on such parallel systems. We address this issue from the perspective of commu- nication patterns. Scientific applications can be classified based on the properties (com- munication patterns), which have been specified in the Berkeley Dwarfs many years ago. By investigating the characteristics of each class, we are able to derive efficient execution strategies, across different levels of the parallelism. -
QUALCOMM Incorporated (Exact Name of Registrant As Specified in Its Charter)
UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 _____________________ FORM 10-Q _____________________ (Mark one) x QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the quarterly period ended December 25, 2016 OR o TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to . Commission File Number 0-19528 QUALCOMM Incorporated (Exact name of registrant as specified in its charter) Delaware 95-3685934 (State or Other Jurisdiction of (I.R.S. Employer Incorporation or Organization) Identification No.) 5775 Morehouse Dr., San Diego, California 92121-1714 (Address of Principal Executive Offices) (Zip Code) (858) 587-1121 (Registrant’s telephone number, including area code) Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. Yes x No o Indicate by check mark whether the registrant has submitted electronically and posted on its corporate Web site, if any, every Interactive Data File required to be submitted and posted pursuant to Rule 405 of Regulation S-T (§ 232.405 of this chapter) during the preceding 12 months (or for such shorter period that the registrant was required to submit and post such files). Yes x No o Indicate by check mark whether the registrant is a large accelerated filer, an accelerated filer, a non-accelerated filer, or a smaller reporting company. -
Proceedings First Annual Palo Alto Conference
PROCEEDINGS OF THE FIRST ANNUAL PALO ALTO CONFERENCE An International Conference on the Mexican-American War and its Causes and Consequences with Participants from Mexico and the United States. Brownsville, Texas, May 6-9, 1993 Palo Alto Battlefield National Historic Site Southwest Region National Park Service I Cover Illustration: "Plan of the Country to the North East of the City of Matamoros, 1846" in Albert I C. Ramsey, trans., The Other Side: Or, Notes for the History of the War Between Mexico and the I United States (New York: John Wiley, 1850). 1i L9 37 PROCEEDINGS OF THE FIRST ANNUAL PALO ALTO CONFERENCE Edited by Aaron P. Mahr Yafiez National Park Service Palo Alto Battlefield National Historic Site P.O. Box 1832 Brownsville, Texas 78522 United States Department of the Interior 1994 In order to meet the challenges of the future, human understanding, cooperation, and respect must transcend aggression. We cannot learn from the future, we can only learn from the past and the present. I feel the proceedings of this conference illustrate that a step has been taken in the right direction. John E. Cook Regional Director Southwest Region National Park Service TABLE OF CONTENTS Introduction. A.N. Zavaleta vii General Mariano Arista at the Battle of Palo Alto, Texas, 1846: Military Realist or Failure? Joseph P. Sanchez 1 A Fanatical Patriot With Good Intentions: Reflections on the Activities of Valentin GOmez Farfas During the Mexican-American War. Pedro Santoni 19 El contexto mexicano: angulo desconocido de la guerra. Josefina Zoraida Vazquez 29 Could the Mexican-American War Have Been Avoided? Miguel Soto 35 Confederate Imperial Designs on Northwestern Mexico.