AMD APP SDK V2.8 Developer Release Notes
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AMD Firestream™ 9350 GPU Compute Accelerator
AMD FireStream™ 9350 GPU Compute Accelerator High Density Server GPU Acceleration The AMD FireStream™ 9350 GPU compute accelerator card offers industry- leading performance-per-watt in a highly dense, single-slot form factor. This AMD FireStream 9350 low-profile GPU card is designed for scalable high performance computing > Heterogeneous computing that (HPC) systems that require density and power efficiency. The AMD FireStream leverages AMD GPUs and x86 CPUs 9350 is ideal for a wide range of HPC applications across several industries > High performance per watt at 2.9 including Finance, Energy (Oil and Gas), Geosciences, Life Sciences, GFLOPS / Watt Manufacturing (CAE, CFD, etc.), Defense, and more. > Industry’s most dense server GPU card 1 Utilizing the multi-billion-transistor ASICs developed for AMD Radeon™ graphics > Low profile and passively cooled cards, AMD’s FireStream 9350 cards provide maximum performance-per-slot > Massively parallel, programmable GPU and are designed to meet demanding performance and reliability requirements architecture of HPC systems that can scale to thousands of nodes. AMD FireStream 9350 > Open standard OpenCL™ and cards include a single DisplayPort output. DirectCompute2 AMD FireStream 9350 cards can be used in scalable servers, blades, PCIe® > 2.0 TFLOPS, Single-Precision Peak chassis, and are available from many leading server OEMs and HPC solution > 400 GFLOPS, Double-Precision Peak providers. > 2GB GDDR5 memory Priced competitively, AMD FireStream GPUs offer unparalleled performance > Industry’s only Single-Slot PCIe® Accelerator and value for high performance computing. > PCI Express® 2.1 Compliant Note: For workstation and server > AMD Accelerated Parallel Processing installations that require active (APP) Technology SDK with OpenCL3 cooling, AMD FirePro™ Professional > 3-year planned availability; 3-year Graphics boards are software- limited warranty compatible and offer comparable features. -
ATI Radeon™ HD 4870 Computation Highlights
AMD Entering the Golden Age of Heterogeneous Computing Michael Mantor Senior GPU Compute Architect / Fellow AMD Graphics Product Group [email protected] 1 The 4 Pillars of massively parallel compute offload •Performance M’Moore’s Law Î 2x < 18 Month s Frequency\Power\Complexity Wall •Power Parallel Î Opportunity for growth •Price • Programming Models GPU is the first successful massively parallel COMMODITY architecture with a programming model that managgped to tame 1000’s of parallel threads in hardware to perform useful work efficiently 2 Quick recap of where we are – Perf, Power, Price ATI Radeon™ HD 4850 4x Performance/w and Performance/mm² in a year ATI Radeon™ X1800 XT ATI Radeon™ HD 3850 ATI Radeon™ HD 2900 XT ATI Radeon™ X1900 XTX ATI Radeon™ X1950 PRO 3 Source of GigaFLOPS per watt: maximum theoretical performance divided by maximum board power. Source of GigaFLOPS per $: maximum theoretical performance divided by price as reported on www.buy.com as of 9/24/08 ATI Radeon™HD 4850 Designed to Perform in Single Slot SP Compute Power 1.0 T-FLOPS DP Compute Power 200 G-FLOPS Core Clock Speed 625 Mhz Stream Processors 800 Memory Type GDDR3 Memory Capacity 512 MB Max Board Power 110W Memory Bandwidth 64 GB/Sec 4 ATI Radeon™HD 4870 First Graphics with GDDR5 SP Compute Power 1.2 T-FLOPS DP Compute Power 240 G-FLOPS Core Clock Speed 750 Mhz Stream Processors 800 Memory Type GDDR5 3.6Gbps Memory Capacity 512 MB Max Board Power 160 W Memory Bandwidth 115.2 GB/Sec 5 ATI Radeon™HD 4870 X2 Incredible Balance of Performance,,, Power, Price -
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. -
Download Radeon Grpadhics Catalylist and Driver AMD Catalyst Graphics Driver 13.4 X64
download radeon grpadhics catalylist and driver AMD Catalyst Graphics Driver 13.4 x64. Fixes : - With the Radeon HD7790 graphics card, corruption may be seen in the game Tomb Raider with TressFX enabled - Texture flickering may be observed in DirectX 9.0c enabled applications - Corruption observed in Tomb Raider with TressFX enabled for AMD Crossfire and single GPU system configurations - Corruption observed on objects and textures in the game, Call of Duty – Black Ops 2 - Corruption observed in the game, Alan Wake (DirectX 9 Mode) when attempting to change in-game settings with Stereoscopic 3D using Tridef - Corruption observed on textures in the game, Battle Field: Bad Company 2 with forced anti-aliasing enabled - Adobe Photoshop CS6 experiences screen flicker under Windows 8 based system - Horizontal line corruption may be observed with forced anti-aliasing enabled in the game, Dishonored - System hang may occur when scrolling through the game selection menu in the game, DiRT 3 - F1 2012 may crash to desktop on systems supporting AMD PowerXpress (Enduro) Technology - Support added for AMD Radeon HD7790 and AMD Radeon HD 7990 - Catalyst Driver optimizations to improve performance in Far Cry 3, Crysis 3, and 3DMark - Significantly improves latency performance in Skyrim, Boderlands 2, Guild Wars 2, Tomb Raider and Hitman Absolution. Performance gains seen with the entire AMD Radeon HD 7000 Series for the following: - Batman Arkham City (1920x1200): Performance improvements up to 5% - Borderlands 2 (2560x1600): Performance improvements -
AMD APP SDK Developer Release Notes
AMD APP SDK v3.0 Beta Developer Release Notes 1 What’s New in AMD APP SDK v3.0 Beta 1.1 New features in AMD APP SDK v3.0 Beta AMD APP SDK v3.0 Beta includes the following new features: OpenCL 2.0: There are 20 samples that demonstrate various features of OpenCL 2.0 such as Shared Virtual Memory, Platform Atomics, Device-side Enqueue, Pipes, New workgroup built-in functions, Program Scope Variables, Generic Address Space, and OpenCL 2.0 image features. For the complete list of the samples, see the AMD APP SDK Samples Release Notes (AMD_APP_SDK_Release_Notes_Samples.pdf) document. Support for Bolt 1.3 library. 6 additional samples that demonstrate various APIs in the Bolt C++ AMP library. One new sample that demonstrates the consumption of SPIR 1.2 binary. Enhancements and bug fixes in several samples. A lightweight installer that supports the following features: Customized online installation Ability to download the full installer for install and distribution 1.2 New features for AMD CodeXL version 1.6 The following new features in AMD CodeXL version 1.6 provide the following improvements to the developer experience: GPU Profiler support for OpenCL 2.0 API-level debugging for OpenCL 2.0 Power Profiling For information about CodeXL and about how to use CodeXL to gather performance data about your OpenCL application, such as application traces and timeline views, see the CodeXL home page. Developer Release Notes 1 of 4 2 Important Notes OpenCL 2.0 runtime support is limited to 64-bit applications running on 64-bit Windows and Linux operating systems only. -
A Review of Gpuopen Effects
A REVIEW OF GPUOPEN EFFECTS TAKAHIRO HARADA & JASON LACROIX • An initiative designed to help developers make better content by “opening up” the GPU • Contains a variety of software modules across various GPU needs: • Effects and render features • Tools, SDKs, and libraries • Patches and drivers • Software hosted on GitHub with no “black box” implementations or licensing fees • Website provides: • The latest news and information on all GPUOpen software • Tutorials and samples to help you optimise your game • A central location for up-to-date GPU and CPU documentation • Information about upcoming events and previous presentations AMD Public | Let’s build… 2020 | A Review of GPUOpen Effects | May 15, 2020 | 2 LET’S BUILD A NEW GPUOPEN… • Brand new, modern, dynamic website • Easy to find the information you need quickly • Read the latest news and see what’s popular • Learn new tips and techniques from our engineers • Looks good on mobile platforms too! • New social media presence • @GPUOpen AMD Public | Let’s build… 2020 | A Review of GPUOpen Effects | May 15, 2020 | 3 EFFECTS A look at recently released samples AMD Public | Let’s build… 2020 | A Review of GPUOpen Effects | May 15, 2020 | 4 TRESSFX 4.1 • Self-contained solution for hair simulation • Implementation into Radeon® Cauldron framework • DirectX® 12 and Vulkan® with full source • Optimized physics simulation • Faster velocity shock propagation • Simplified local shape constraints • Reorganization of dispatches • StrandUV support • New LOD system • New and improved Autodesk® Maya® -
The Compute Shader
AMD Entering the Golden Age of Heterogeneous Computing Michael Mantor Senior GPU Compute Architect / Fellow AMD Graphics Product Group [email protected] 1 The 4 Pillars of massively parallel compute offload •Performance M’Moore’s Law Î 2x < 18 Month s Frequency\Power\Complexity Wall •Power Parallel Î Opportunity for growth •Price • Programming Models GPU is the first successful massively parallel COMMODITY architecture with a programming model that managgped to tame 1000’s of parallel threads in hardware to perform useful work efficiently 2 Quick recap of where we are – Perf, Power, Price ATI Radeon™ HD 4850 4x Performance/w and Performance/mm² in a year ATI Radeon™ X1800 XT ATI Radeon™ HD 3850 ATI Radeon™ HD 2900 XT ATI Radeon™ X1900 XTX ATI Radeon™ X1950 PRO 3 Source of GigaFLOPS per watt: maximum theoretical performance divided by maximum board power. Source of GigaFLOPS per $: maximum theoretical performance divided by price as reported on www.buy.com as of 9/24/08 ATI Radeon™HD 4850 Designed to Perform in Single Slot SP Compute Power 1.0 T-FLOPS DP Compute Power 200 G-FLOPS Core Clock Speed 625 Mhz Stream Processors 800 Memory Type GDDR3 Memory Capacity 512 MB Max Board Power 110W Memory Bandwidth 64 GB/Sec 4 ATI Radeon™HD 4870 First Graphics with GDDR5 SP Compute Power 1.2 T-FLOPS DP Compute Power 240 G-FLOPS Core Clock Speed 750 Mhz Stream Processors 800 Memory Type GDDR5 3.6Gbps Memory Capacity 512 MB Max Board Power 160 W Memory Bandwidth 115.2 GB/Sec 5 ATI Radeon™HD 4870 X2 Incredible Balance of Performance,,, Power, Price -
Catalyst™ Software Suite Version 9.5 Release Notes
Catalyst™ Software Suite Version 9.5 Release Notes This release note provides information on the latest posting of AMD’s industry leading software suite, Catalyst™. This particular software suite updates both the AMD Display Driver, and the Catalyst™ Control Center. This unified driver has been further enhanced to provide the highest level of power, performance, and reliability. The AMD Catalyst™ software suite is the ultimate in performance and stability. For exclusive Catalyst™ updates follow Catalyst Maker on Twitter. This release note provides information on the following: z Web Content z AMD Product Support z Operating Systems Supported z New Features z Performance Improvements z Resolved Issues for the Windows Vista Operating System z Resolved Issues for the Windows XP Operating System z Resolved Issues for the Windows 7 Operating System z Known Issues Under the Windows Vista Operating System z Known Issues Under the Windows XP Operating System z Known Issues Under the Windows 7 Operating System z Installing the Catalyst™ Vista Software Driver z Catalyst™ Crew Driver Feedback ATI Catalyst™ Release Note Version 9.5 1 Web Content The Catalyst™ Software Suite 9.5 contains the following: z Radeon™ display driver 8.612 z HydraVision™ for both Windows XP and Vista z HydraVision™ Basic Edition (Windows XP only) z WDM Driver Install Bundle z Southbridge/IXP Driver z Catalyst™ Control Center Version 8.612 Caution: The Catalyst™ software driver and the Catalyst™ Control Center can be downloaded independently of each other. However, for maximum stability and performance AMD recommends that both components be updated from the same Catalyst™ release. -
AMD APP SDK V2.9.1 Developer Release Notes
AMD APP SDK v2.9.1 Developer Release Notes 1 What’s New in AMD APP SDK v2.9.1 1.1 New features in AMD APP SDK v2.9.1 AMD APP SDK v2.9.1 includes the following new features: The AMD APP SDK can now be installed on Linux with root as well as non-root permissions. The installation logs display additional details about the status of the installation. Several samples have been enhanced. All the samples are now compatible with the gcc version, 4.8.1. The APARAPI samples have been updated to work with the latest APARAPI (OpenCL trunk) library. The OpenCV-CL samples now work with the OpenCV 2.4.9 library. The AMD APP SDK Bolt samples have been updated to work with the Bolt 1.2 library. For information about the features released in AMD APP SDK v2.9, see the AMD APP SDK v2.9 Developer Release Notes document. 1.2 Key features supported in the AMD Catalyst 14.4 driver Support for Kaveri graphics AMD Radeon R5/R6/R7 Support for AMD Radeon R9 295X Full support for OpenGL 4.4 Support for the following operating systems: Windows 8.1 (32- and 64-bit versions) Windows 7 (32- and 64-bit versions with SP1 or higher) 1.3 New features for AMD CodeXL version 1.4 The following new features for AMD CodeXL version 1.4 provide the following improvements to the developer experience: Microsoft Visual Studio 2013 CodeXL Extension New Shader Analyzer Support for Volcanic Islands family GPUs: debugging, profiling and analyzing. -
Lewis University Dr. James Girard Summer Undergraduate Research Program 2021 Faculty Mentor - Project Application
Lewis University Dr. James Girard Summer Undergraduate Research Program 2021 Faculty Mentor - Project Application Exploring the Use of High-level Parallel Abstractions and Parallel Computing for Functional and Gate-Level Simulation Acceleration Dr. Lucien Ngalamou Department of Engineering, Computing and Mathematical Sciences Abstract System-on-Chip (SoC) complexity growth has multiplied non-stop, and time-to- market pressure has driven demand for innovation in simulation performance. Logic simulation is the primary method to verify the correctness of such systems. Logic simulation is used heavily to verify the functional correctness of a design for a broad range of abstraction levels. In mainstream industry verification methodologies, typical setups coordinate the validation e↵ort of a complex digital system by distributing logic simulation tasks among vast server farms for months at a time. Yet, the performance of logic simulation is not sufficient to satisfy the demand, leading to incomplete validation processes, escaped functional bugs, and continuous pressure on the EDA1 industry to develop faster simulation solutions. In this research, we will explore a solution that uses high-level parallel abstractions and parallel computing to boost the performance of logic simulation. 1Electronic Design Automation 1 1 Project Description 1.1 Introduction and Background SoC complexity is increasing rapidly, driven by demands in the mobile market, and in- creasingly by the fast-growth of assisted- and autonomous-driving applications. SoC teams utilize many verification technologies to address their complexity and time-to-market chal- lenges; however, logic simulation continues to be the foundation for all verification flows, and continues to account for more than 90% [10] of all verification workloads. -
AMD APU Series
AMD APU series Connor Goss, Jefferson Medel Agenda ➢ Overview ➢ APU vs. CPU+GPU ➢ Graphics Engines ➢ CPU Architecture ➢ Future Overview ● What is an APU? ○ Accelerated Processing Unit ○ A processor that combines CPU and GPU elements into a single architecture ● APU brand of AMD, Intel uses different name ● Why APU? ○ Able to perform tasks of both a CPU and GPU with less space and power. ○ At cost of performance compared to high end individual units ○ Sufficient for majority of computers Essentially... ● CPUs use serial data processing ● GPUs use parallel data processing http://www.legitreviews.com/amd-vision-the-399-brazos-notebook-platform-preview_1464 History ● Single Core ○ Limitations ■ Speed ■ Power ■ Complexity ● Multi Core ○ Limitations ■ Power ■ Scalability ● Heterogeneous ○ CPU and GPUs designed separately do not work optimally together ○ Graphics Capability included in chip rather than in chipset Bandwidth http://amd-dev.wpengine.netdna-cdn.com/wordpress/media/2012/10/apu101.pdf Heterogeneous System Architecture http://developer.amd.com/resources/heterogeneous-computing/what-is-heterogeneous-system-architecture-hsa/ Iterations ➢ Desktop Processors ○ Llano - Trinity - Richland - Kaveri ➢ Server Processors ○ Kyoto ➢ Mobile CPUs and GPUs ● Different Design Goals ○ CPUs are base on maximizing performance of a single thread ○ GPUs maximize throughput at cost of individual thread performance ● CPU ○ Dedicated to reduce latency to memory ● GPU ○ Focus on ALU and registers ○ Focus on covering latency Graphics Engine ➢ Based on AMD/ATI -
Contributions of Hybrid Architectures to Depth Imaging: a CPU, APU and GPU Comparative Study
Contributions of hybrid architectures to depth imaging : a CPU, APU and GPU comparative study Issam Said To cite this version: Issam Said. Contributions of hybrid architectures to depth imaging : a CPU, APU and GPU com- parative study. Hardware Architecture [cs.AR]. Université Pierre et Marie Curie - Paris VI, 2015. English. NNT : 2015PA066531. tel-01248522v2 HAL Id: tel-01248522 https://tel.archives-ouvertes.fr/tel-01248522v2 Submitted on 20 May 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THESE` DE DOCTORAT DE l’UNIVERSITE´ PIERRE ET MARIE CURIE sp´ecialit´e Informatique Ecole´ doctorale Informatique, T´el´ecommunications et Electronique´ (Paris) pr´esent´eeet soutenue publiquement par Issam SAID pour obtenir le grade de DOCTEUR en SCIENCES de l’UNIVERSITE´ PIERRE ET MARIE CURIE Apports des architectures hybrides `a l’imagerie profondeur : ´etude comparative entre CPU, APU et GPU Th`esedirig´eepar Jean-Luc Lamotte et Pierre Fortin soutenue le Lundi 21 D´ecembre 2015 apr`es avis des rapporteurs M. Fran¸cois Bodin Professeur, Universit´ede Rennes 1 M. Christophe Calvin Chef de projet, CEA devant le jury compos´ede M. Fran¸cois Bodin Professeur, Universit´ede Rennes 1 M.