AMD’S Processor Lines Belonging to the Low-Power Oriented Cat Family (Families 14H/16H)
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ATI Radeon HD 2600 Series User's Guide
ATI Radeon™ HD 2600 Series User’s Guide P/N 137-41353-10 ii © 2007 Advanced Micro Devices, Inc. All rights reserved. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. No license, whether express, implied, arising by estoppel or otherwise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of merchantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as components in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other application in which the failure of AMD’s product could create a situation where personal injury, death, or severe property or environmental damage may occur. AMD reserves the right to discontinue or make changes to its products at any time without notice. Reproduction of this manual, or parts thereof, in any form, without the express written permission of Advanced Micro Devices, Inc. is strictly prohibited. Trademarks AMD, the AMD Arrow logo, AMD Athlon, AMD Opteron and combinations therof, AMD-XXXX, ATI and ATI product and product-feature names are trademarks of Advanced Micro Devices, Inc. -
Effective Virtual CPU Configuration with QEMU and Libvirt
Effective Virtual CPU Configuration with QEMU and libvirt Kashyap Chamarthy <[email protected]> Open Source Summit Edinburgh, 2018 1 / 38 Timeline of recent CPU flaws, 2018 (a) Jan 03 • Spectre v1: Bounds Check Bypass Jan 03 • Spectre v2: Branch Target Injection Jan 03 • Meltdown: Rogue Data Cache Load May 21 • Spectre-NG: Speculative Store Bypass Jun 21 • TLBleed: Side-channel attack over shared TLBs 2 / 38 Timeline of recent CPU flaws, 2018 (b) Jun 29 • NetSpectre: Side-channel attack over local network Jul 10 • Spectre-NG: Bounds Check Bypass Store Aug 14 • L1TF: "L1 Terminal Fault" ... • ? 3 / 38 Related talks in the ‘References’ section Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications What this talk is not about 4 / 38 Related talks in the ‘References’ section What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications 4 / 38 What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications Related talks in the ‘References’ section 4 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP QEMU QEMU VM1 VM2 Custom Disk1 Disk2 Appliance ioctl() KVM-based virtualization components Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP Custom Appliance KVM-based virtualization components QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) Custom Appliance KVM-based virtualization components libvirtd QMP QMP QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 libguestfs (guestfish) Custom Appliance KVM-based virtualization components OpenStack, et al. -
GPTPU: Accelerating Applications Using Edge Tensor Processing Units Kuan-Chieh Hsu and Hung-Wei Tseng University of California, Riverside {Khsu037, Htseng}@Ucr.Edu
GPTPU: Accelerating Applications using Edge Tensor Processing Units Kuan-Chieh Hsu and Hung-Wei Tseng University of California, Riverside {khsu037, htseng}@ucr.edu This paper is a pre-print of a paper in the 2021 SC, the Interna- Two decades ago, graphics processing units (GPUs) were just tional Conference for High Performance Computing, Networking, domain-specific accelerators used for shading and rendering. But Storage and Analysis. Please refer to the conference proceedings intensive research into high-performance algorithms, architectures, for the most complete version. systems, and compilers [3–12] and the availability of frameworks like CUDA [13] and OpenCL [14], have revolutionized GPUs and ABSTRACT transformed them into high-performance, general-purpose vector Neural network (NN) accelerators have been integrated into a wide- processors. We expect a similar revolution to take place with NN spectrum of computer systems to accommodate the rapidly growing accelerators—a revolution that will create general-purpose matrix demands for artificial intelligence (AI) and machine learning (ML) processors for a broader spectrum of applications. However, de- applications. NN accelerators share the idea of providing native mocratizing these NN accelerators for non-AI/ML workloads will hardware support for operations on multidimensional tensor data. require the system framework and the programmer to tackle the Therefore, NN accelerators are theoretically tensor processors that following issues: can improve system performance for any problem that uses ten- (1) The microarchitectures and instructions of NN accelerators sors as inputs/outputs. Unfortunately, commercially available NN are optimized for NN workloads, instead of general matrix/tensor accelerators only expose computation capabilities through AI/ML- algebra. -
AMD's Llano Fusion
AMD’S “LLANO” FUSION APU Denis Foley, Maurice Steinman, Alex Branover, Greg Smaus, Antonio Asaro, Swamy Punyamurtula, Ljubisa Bajic Hot Chips 23, 19th August 2011 TODAY’S TOPICS . APU Architecture and floorplan . CPU Core Features . Graphics Features . Unified Video decoder Features . Display and I/O Capabilities . Power Gating . Turbo Core . Performance 2 | LLANO HOT CHIPS | August 19th, 2011 ARCHITECTURE AND FLOORPLAN A-SERIES ARCHITECTURE • Up to 4 Stars-32nm x86 Cores • 1MB L2 cache/core • Integrated Northbridge • 2 Chan of DDR3-1866 memory • 24 Lanes of PCIe® Gen2 • x4 UMI (Unified Media Interface) • x4 GPP (General Purpose Ports) • x16 Graphics expansion or display • 2 x4 Lanes dedicated display • 2 Head Display Controller • UVD (Unified Video Decoder) • 400 AMD Radeon™ Compute Units • GMC (Graphics Memory Controller) • FCL (Fusion Control Link) • RMB (AMD Radeon™ Memory Bus) • 227mm2, 32nm SOI • 1.45BN transistors 4 | LLANO HOT CHIPS | August 19th, 2011 INTERNAL BUS . Fusion Control Link (FCL) – 128b (each direction) path for IO access to memory – Variable clock based on throughput (LCLK) – GPU access to coherent memory space – CPU access to dedicated GPU framebuffer . AMD Radeon™ Memory Bus (RMB) – 256b (each direction) for each channel for GMC access to memory – Runs on Northbridge clock (NCLK) – Provides full bandwidth path for Graphics access to system memory – DRAM friendly stream of reads and write – Bypasses coherency mechanism 5 | LLANO HOT CHIPS | August 19th, 2011 Dual-channel DDR3 Unified Video DDR3 UVD Decoder NB CPU CPU Graphics SIMD Integrated Integrated GPU, Display Northbridge Array Controller I/O Controllers L2 Display L2 I/OMultimedia Controllers L2 PCI Express I/O - 24 lanes, optional 1 MB L2 cache L2 I/O per core digital display interfaces CPU CPU Digital display interfaces 4 Stars-32nm PCIe CPU cores PPL Display PCIe PCIe Display 6 | LLANO HOT CHIPS | August 19th, 2011 CPU, GPU, UVD AND IO FEATURES STARS-32nm CPU CORE FEATURES . -
AMD Athlon II X4 630 Drivers Download AMD Athlon II X4 630 Drivers Download
AMD Athlon II X4 630 Drivers Download AMD Athlon II X4 630 Drivers Download. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. What can I do to prevent this in the future? If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. Another way to prevent getting this page in the future is to use Privacy Pass. You may need to download version 2.0 now from the Chrome Web Store. Cloudflare Ray ID: 67d212351c6284a4 • Your IP : 188.246.226.140 • Performance & security by Cloudflare. DRIVERS AMD ATHLON II X4 620 GRAPHICS WINDOWS 7 X64. Correcting bugs, the athlon is a midi editor/sequencer. Amd ryzen and athlon mobile chipset drivers & support. 39152. It is part of the athlon ii x4 lineup, using the propus architecture with socket am3. Might want to open a gigabyte support ticket and see if they have a beta bios that would make your fx8350 compatible to download. Amd athlon tm ii x4 630 processor - driver download software driver-category list when you are dealing with an unheard of impeded net relationship, and curious about precisely what might be at the bottom of this extraordinarily aggravating phenomena, you should remember to consider the negative effects of an expired amd athlon tm ii x4 630 processor on your hard drive. -
Owner's Manual
Dell Latitude 3330 Owner's Manual Regulatory Model: P18S Regulatory Type: P18S002 Notes, Cautions, and Warnings NOTE: A NOTE indicates important information that helps you make better use of your computer. CAUTION: A CAUTION indicates either potential damage to hardware or loss of data and tells you how to avoid the problem. WARNING: A WARNING indicates a potential for property damage, personal injury, or death. © 2013 Dell Inc. Trademarks used in this text: Dell™, the Dell logo, Dell Boomi™, Dell Precision™ , OptiPlex™, Latitude™, PowerEdge™, PowerVault™, PowerConnect™, OpenManage™, EqualLogic™, Compellent™, KACE™, FlexAddress™, Force10™ and Vostro™ are trademarks of Dell Inc. Intel®, Pentium®, Xeon®, Core® and Celeron® are registered trademarks of Intel Corporation in the U.S. and other countries. AMD® is a registered trademark and AMD Opteron™, AMD Phenom™ and AMD Sempron™ are trademarks of Advanced Micro Devices, Inc. Microsoft®, Windows®, Windows Server®, Internet Explorer®, MS-DOS®, Windows Vista® and Active Directory® are either trademarks or registered trademarks of Microsoft Corporation in the United States and/or other countries. Red Hat® and Red Hat® Enterprise Linux® are registered trademarks of Red Hat, Inc. in the United States and/or other countries. Novell® and SUSE® are registered trademarks of Novell Inc. in the United States and other countries. Oracle® is a registered trademark of Oracle Corporation and/or its affiliates. Citrix®, Xen®, XenServer® and XenMotion® are either registered trademarks or trademarks of Citrix Systems, Inc. in the United States and/or other countries. VMware®, Virtual SMP®, vMotion®, vCenter® and vSphere® are registered trademarks or trademarks of VMware, Inc. in the United States or other countries. -
Amd Filed: February 24, 2009 (Period: December 27, 2008)
FORM 10-K ADVANCED MICRO DEVICES INC - amd Filed: February 24, 2009 (period: December 27, 2008) Annual report which provides a comprehensive overview of the company for the past year Table of Contents 10-K - FORM 10-K PART I ITEM 1. 1 PART I ITEM 1. BUSINESS ITEM 1A. RISK FACTORS ITEM 1B. UNRESOLVED STAFF COMMENTS ITEM 2. PROPERTIES ITEM 3. LEGAL PROCEEDINGS ITEM 4. SUBMISSION OF MATTERS TO A VOTE OF SECURITY HOLDERS PART II ITEM 5. MARKET FOR REGISTRANT S COMMON EQUITY, RELATED STOCKHOLDER MATTERS AND ISSUER PURCHASES OF EQUITY SECURITIES ITEM 6. SELECTED FINANCIAL DATA ITEM 7. MANAGEMENT S DISCUSSION AND ANALYSIS OF FINANCIAL CONDITION AND RESULTS OF OPERATIONS ITEM 7A. QUANTITATIVE AND QUALITATIVE DISCLOSURE ABOUT MARKET RISK ITEM 8. FINANCIAL STATEMENTS AND SUPPLEMENTARY DATA ITEM 9. CHANGES IN AND DISAGREEMENTS WITH ACCOUNTANTS ON ACCOUNTING AND FINANCIAL DISCLOSURE ITEM 9A. CONTROLS AND PROCEDURES ITEM 9B. OTHER INFORMATION PART III ITEM 10. DIRECTORS, EXECUTIVE OFFICERS AND CORPORATE GOVERNANCE ITEM 11. EXECUTIVE COMPENSATION ITEM 12. SECURITY OWNERSHIP OF CERTAIN BENEFICIAL OWNERS AND MANAGEMENT AND RELATED STOCKHOLDER MATTERS ITEM 13. CERTAIN RELATIONSHIPS AND RELATED TRANSACTIONS AND DIRECTOR INDEPENDENCE ITEM 14. PRINCIPAL ACCOUNTANT FEES AND SERVICES PART IV ITEM 15. EXHIBITS, FINANCIAL STATEMENT SCHEDULES SIGNATURES EX-10.5(A) (OUTSIDE DIRECTOR EQUITY COMPENSATION POLICY) EX-10.19 (SEPARATION AGREEMENT AND GENERAL RELEASE) EX-21 (LIST OF AMD SUBSIDIARIES) EX-23.A (CONSENT OF ERNST YOUNG LLP - ADVANCED MICRO DEVICES) EX-23.B -
AMD Accelerated Parallel Processing Opencl Programming Guide
AMD Accelerated Parallel Processing OpenCL Programming Guide November 2013 rev2.7 © 2013 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, AMD Accelerated Parallel Processing, the AMD Accelerated Parallel Processing logo, ATI, the ATI logo, Radeon, FireStream, FirePro, Catalyst, and combinations thereof are trade- marks of Advanced Micro Devices, Inc. Microsoft, Visual Studio, Windows, and Windows Vista are registered trademarks of Microsoft Corporation in the U.S. and/or other jurisdic- tions. Other names are for informational purposes only and may be trademarks of their respective owners. OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission by Khronos. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. The information contained herein may be of a preliminary or advance nature and is subject to change without notice. No license, whether express, implied, arising by estoppel or other- wise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of merchantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as compo- nents in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other application in which the failure of AMD’s product could create a situation where personal injury, death, or severe property or envi- ronmental damage may occur. -
Exploring Weak Scalability for FEM Calculations on a GPU-Enhanced Cluster
Exploring weak scalability for FEM calculations on a GPU-enhanced cluster Dominik G¨oddeke a,∗,1, Robert Strzodka b,2, Jamaludin Mohd-Yusof c, Patrick McCormick c,3, Sven H.M. Buijssen a, Matthias Grajewski a and Stefan Turek a aInstitute of Applied Mathematics, University of Dortmund bStanford University, Max Planck Center cComputer, Computational and Statistical Sciences Division, Los Alamos National Laboratory Abstract The first part of this paper surveys co-processor approaches for commodity based clusters in general, not only with respect to raw performance, but also in view of their system integration and power consumption. We then extend previous work on a small GPU cluster by exploring the heterogeneous hardware approach for a large-scale system with up to 160 nodes. Starting with a conventional commodity based cluster we leverage the high bandwidth of graphics processing units (GPUs) to increase the overall system bandwidth that is the decisive performance factor in this scenario. Thus, even the addition of low-end, out of date GPUs leads to improvements in both performance- and power-related metrics. Key words: graphics processors, heterogeneous computing, parallel multigrid solvers, commodity based clusters, Finite Elements PACS: 02.70.-c (Computational Techniques (Mathematics)), 02.70.Dc (Finite Element Analysis), 07.05.Bx (Computer Hardware and Languages), 89.20.Ff (Computer Science and Technology) ∗ Corresponding author. Address: Vogelpothsweg 87, 44227 Dortmund, Germany. Email: [email protected], phone: (+49) 231 755-7218, fax: -5933 1 Supported by the German Science Foundation (DFG), project TU102/22-1 2 Supported by a Max Planck Center for Visual Computing and Communication fellowship 3 Partially supported by the U.S. -
Heterogeneous Computing for Advanced Driver Assistance Systems
TECHNISCHE UNIVERSITAT¨ MUNCHEN¨ Lehrstuhl fur¨ Robotik, Kunstliche¨ Intelligenz und Echtzeitsysteme Heterogeneous Computing for Advanced Driver Assistance Systems Xiebing Wang Vollstandiger¨ Abdruck der von der Fakultat¨ der Informatik der Technischen Universitat¨ Munchen¨ zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaen (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Prof. Dr. Daniel Cremers Prufer¨ der Dissertation: 1. Prof. Dr.-Ing. habil. Alois Knoll 2. Assistant Prof. Xuehai Qian, Ph.D. 3. Prof. Dr. Kai Huang Die Dissertation wurde am 25.04.2019 bei der Technischen Universitat¨ Munchen¨ eingereicht und durch die Fakultat¨ fur¨ Informatik am 17.09.2019 angenommen. Abstract Advanced Driver Assistance Systems (ADAS) is an indispensable functionality in state-of- the-art intelligent cars and the deployment of ADAS in automated driving vehicles would become a standard in the near future. Current research and development of ADAS still faces several problems. First of all, the huge amount of perception data captured by mas- sive vehicular sensors have posed severe computation challenge for the implementation of real-time ADAS applications. Secondly, conventional automotive Electronic Control Units (ECUs) have to cope with the knoy issues such as technology discontinuation and the consequent tedious hardware/soware (HW/SW) maintenance. Lastly, ADAS should be seamlessly shied towards a mixed and scalable system in which safety, security, and real-time critical components must coexist with the less critical counterparts, while next- generation computation resources can still be added exibly so as to provide sucient computing capacity. is thesis gives a systematic study of applying the emerging heterogeneous comput- ing techniques to the design of an automated driving module and the implementation of real-time ADAS applications. -
Passmark Intel Vs AMD CPU Benchmarks - High End
PassMark Intel vs AMD CPU Benchmarks - High End http://www.cpubenchmark.net/high_end_cpus.html Shopping cart | Search Home Software Hardware Benchmarks Services Store Support Forums About Us Home » CPU Benchmarks » High End CPU's CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC Systems Android iOS / iPhone CPU Benchmarks Over 600,000 CPUs Benchmarked High End CPU's - Intel vs AMD How does your CPU compare? This chart comparing high end CPU's is made using thousands of PerformanceTest benchmark Add your CPU to our benchmark results and is updated daily. These are the high end AMD and Intel CPUs are typically those chart with PerformanceTest V8 found in newer computers. The chart below compares the performance of Intel Xeon CPUs, Intel Core i7 CPUs, AMD Phenom II CPUs and AMD Opterons with multiple cores. Intel processors vs ---- Select A Page ---- AMD chips - find out which CPU's performance is best for your new gaming rig or server! CPU Mark | Price Performance (Click to select desired chart) PassMark - CPU Mark High End CPUs - Updated 26th of August 2013 Price (USD) Intel Xeon E5-2687W @ 3.10GHz 14,564 $1,929.99 Intel Xeon E5-2690 @ 2.90GHz 14,511 $1,920.99 Intel Xeon E5-2680 @ 2.70GHz 13,949 $1,725.99 Intel Xeon E5-2689 @ 2.60GHz 13,444 NA Intel Xeon E5-2670 @ 2.60GHz 13,312 $1,509.00 Intel Core i7-3970X @ 3.50GHz 12,873 $1,006.99 Intel Core i7-3960X @ 3.30GHz 12,749 $965.99 Intel Xeon E5-1660 @ 3.30GHz 12,457 $1,086.99 Intel Xeon E5-2665 @ 2.40GHz 12,453 $1,499.99 Intel Core i7-3930K @ 3.20GHz 12,086 $567.27 Intel Xeon -
TA770XE3 Motherboard
TA770XE3 Motherboard • Supported Socket AM3 processors AMD Phenom II X4 / Phenom II X3 / Athlon II processor • AMD 125W processor support • AMD 770 Chipset • Dual-Channel DDR3 -1600(OC)/1333/1066/800 • AMD OverDrive Utility Support TA770XE3 Specifcation CPU SUPPORT AMD Phenom™ II X6 Processor AMD Phenom™ II X4 Processor AMD Phenom™ II X3 Processor AMD Phenom™ II X2 Processor AMD Athlon™ II X4 Processor AMD Athlon™ II X3 Processor AMD Athlon™ II X2 Processor Maximum CPU TDP (Thermal Design Power) : 125Watt HT Support HT 5.2G MEMORY Support Dual Channel DDR3 800/1066/1333/1600(OC) MHz 4 x DDR3 DIMM Memory Slot Max. Supports up to 16GB Memory STORAGE 6 x SATA II Connector BIOSTAR1 x IDE Connector Support SATA RAID: 0,1,10 LAN Realtek RTL8111DL - 10/100/1000 Controller AUDIO CODEC Realtek ALC662 6-Channel HD Audio USB 6 x USB 2.0 Port 3 x USB 2.0 Header EXPANSION SLOT 1 x PCI-E 2.0 x16 Slot 2 x PCI-E 2.0 x1 Slot 3 x PCI Slot REAR I/O 1 x PS/2 Mouse 1 x PS/2 Keyboard 6 x USB 2.0 Port 1 x LAN Port 3 x Audio Jacks INTERNAL I/O 3 x USB 2.0 Header 6 x SATA II Connector (3Gb/s ) 1 x IDE Connector 1 x Floppy Connector 1 x Front Audio Header 1 x Front Panel Header 1 x CD-IN Header 1 x S/PDIF-Out Header 1 x CPU Fan Connector 2 x System Fan Connector 1 x COM Port Header DIMENSION ATX Form Factor Dimension: 30.5cm X 22cm ( W x L ) OS SUPPORT Supports Windows XP / Vista / 7 ACCESSORIES 3 x SATA Cable 1 x SATA Power Cable 1 x I/O Shield 1 x Fully Setup Driver CD 1 x User Manual FEATURES Supports BIO-unlocKING Windows 7 Compatible Supports Phenom II x6 Supports AM3 Supports 100% Solid capacitor Supports Fanless Supports Clean-Tone Supports O.N.E Supports Rapid Switch Supports Rapid Debug BIOS-Flasher Supports Toverclcoker OC software BIOSTARSupports GPU TA770XE3 OVERVIEW *The specification and pictures are subject to change without notice and the package contents may differ by area or your motherboard version!.