Stream Computing on ATI Radeon Embedded Graphics Processors

Transcription

1 Stream Computing on ATI Radeon Embedded Graphics Processors Peter Mandl Sr. Product Mgr, Embedded Graphics January

2 Stream Computing Harnessing the Computational Power of GPUs Hundreds of processing elements in a Graphics Processor Unit (GPU) Enormous computational capability for data parallel workloads Enables significant performance/watt and performance/$ improvements Works together with the CPU Software Applications Serial and Task Parallel Workloads Graphics Workloads Data Parallel Workloads 2

3 ATI Stream Technology is Heterogeneous: Developers leverage AMD GPUs and CPUs for optimal application performance and user experience High performance: Massively parallel, programmable GPU architecture enables superior performance and power efficiency Industry Standards: OpenCL and DirectCompute 11 enable crossplatform development Gaming Digital Content Creation Productivity Sciences Government Engineering 3

4 The World s Most Efficient GPU * GFLOPS/W 12 GFLOPS/W 10 GFLOPS/mm GFLOPS/mm Nov-05 Jan-06 Sep-07 Nov-07 Jun-08 Oct-09 ATI Radeon X1800 XT ATI Radeon X1900 XTX ATI Radeon HD 2900 PRO ATI Radeon HD 3870 ATI Radeon HD 4870 ATI Radeon HD *Based on comparison of consumer client single-gpu configurations as of 12/08/09. ATI Radeon HD 5870 provides GFLOPS/W and 7.90 GFLOPS/mm 2 vs. NVIDIA GTX 285 at 5.21 GFLOPS/W and 2.26 GFLOPS/mm 2.

5 Enhancing GPUs for Computation RV770 Architecture 800 stream processing units Fast double-precision processing up to 240 GFLOPS 115 GB/sec GDDR5 memory interface Integer bit shift operations for all units useful for crypto, compression, video processing Data sharing between threads More aggressive clock gating for improved performance per watt 5 5

6 Stream Software Development 6

7 ATI Stream Technology Development and Deployment Deployment Development on A PC ATI Radeon graphics for consumer applications ATI FirePro graphics for professional graphics Industry Standards: OpenCL and Microsoft DirectCompute AMD FireStream compute accelerator for computation AMD Embedded Radeon Graphics for long availability and small footprint 7 7

8 Moving Past Proprietary Solutions for Ease of Cross-Platform Programming High Level Language Compilers Open and Custom Tools High Level Tools Application Specific Libraries Industry Standard Interfaces OpenCL DirectX OpenGL AMD GPUs AMD CPUs Other CPUs/GPUs Cross-platform development Interoperability with OpenGL and DirectX CPU/GPU backends enable balanced platform approach 8

9 ATI Stream SDK v2.0 (Production): OpenCL For Multicore x86 CPUs and GPUs The Power of Fusion: Developers leverage heterogeneous architecture to enable a superior user experience First complete OpenCL development platform Certified OpenCL 1.0 compliant by the Khronos Group 1 Write code that can scale well on multi-core CPUs and GPUs AMD delivers on the promise of support for OpenCL, with both high-performance CPU and GPU technologies Available for download now includes documentation, samples, and developer support Software Applications Product Page: Serial and Task Parallel Workloads Graphics Workloads Data Parallel Workloads 9 1 Conformance logs submitted for the ATI Radeon HD 5800 series GPUs, ATI Radeon HD 5700 series GPUs, ATI Radeon HD 4800 series GPUs, ATI FirePro V8700 series GPUs, AMD FireStream 9200 series GPUs, ATI Mobility Radeon HD 4800 series GPUs and x86 CPUs with SSE3.

10 ATI Stream SDK v2.0 (Production): Key Features New: Support for OpenCL ICD (Installable Client Driver) New: Support for atomic functions for 32-bit integers New: Microsoft Visual Studio 2008-integrated ATI Stream Profiler performance analysis tool Preview: Support for OpenCL / OpenGL interoperability Preview: Support for OpenCL / Microsoft DirectX 10 interoperability Preview: Support for double-precision floating point basic arithmetic in OpenCL C kernels Added support for ATI Radeon HD 5970 GPU 1 Supported OSes: Microsoft XP / Vista / 7 and Linux opensuse 11.0 / Ubuntu 9.04 Supported Compilers: Microsoft Visual Studio 2008 Pro / GCC 4.3 or later / ICC 11.x Product Page: Conformance logs submitted for the ATI Radeon HD 5800 series GPUs, ATI Radeon HD 5700 series GPUs, ATI Radeon HD 4800 series GPUs, ATI FirePro V8700 series GPUs, AMD FireStream 9200 series GPUs, ATI Mobility Radeon HD 4800 series GPUs and x86 CPUs with SSE3.

11 OpenCL : Game-Changing Development Enabling Broad Adoption of GP-GPU Capabilities Industry standard API: Open, multiplatform development platform for heterogeneous architectures The power of Fusion: Leverages CPUs and GPUs for balanced system approach Broad industry support: Created by architects from AMD, Apple, IBM, Intel, Nvidia, Sony, etc. Fast track development: Ratified in December; system vendors working on implementations now Momentum: Enormous interest from mainstream developers More stream-enabled applications across all markets 11

12 Stream Computing Applications 12

13 ATI Stream Technology Enabled Multimedia Applications MediaShow 5 MediaShow Espresso PowerDirector 8 PowerDirector 7 SimHD Plug-in for TotalMedia Theatre Roxio Creator 2010 Roxio Creator 2010 Pro 13

14 MKeys/sec High Performance With ATI Stream Technology: Cryptography through Distributed.net Distributed.net provides a distributed compute model allowing users to donate compute cycles to large compute-intensive projects RC5-72 Cryptography algorithm that searches for encryption keys RC ATI Radeon HD5870 ATI Radeon HD4870 ATI Radeon HD4850 Nvidia GEForce GTX285 Nvidia GEForce GTX280 Nvidia GEForce GTX260 *Based on AMD internal testing using RC5-72 clients as of 9/04/09. Results shown in millions of keys evaluated per second [Mkeys/sec]. Configuration: AMD Phenom X Black Edition processor, 8GB DDR2 RAM, Windows Vista 32-bit. AMD drivers: ATI Catalyst 9.8 (ATI Radeon HD 48xx), prerelease driver (ATI Radeon HD 5870). Nvidia driver: GeForce AMD client: [x86/stream], v (beta8). Nvidia client: [x86/cuda-2.2], v (beta8). 14

15 GPU Acceleration in Technical Applications Tomographic Reconstruction Alain Bonissent, Centre de Physique des Particules de Marseille Reporting 42-60x* speedups This image: 7 minutes in optimized C++; 10 seconds in Brook+ EDA Simulation ACCIT Currently beta testing applications and reporting >10x speedup** Seismic Processing Brown Deer Achieving 120x speedup vs CPU on 3D 2 nd order finite-difference time-domain (FDTD) seismic processing algorithm 15 Options Trading Scotia Capital: Reported a 28x speedup over a quad-core CPU. Neural Networks Neurala Developing Neurala Technology Platform for advanced brain-based machine learning applications Report achieving x speedups on biologically inspired neural models

16 Embedded Stream Computing Products 16

17 ATI Radeon E4690 Embedded GPU Performance Gaming and Computation 384 GLOPS Peak 320 stream 600 MHz Bigger & Wider Memory 128-bit memory interface 512 MB GDDR3 in the package Available as a Chip or MXM Module MXM 3.0 Type A 5 Year Planned Longevity of Supply* 17 * Availability subject to change without notice. 17

18 ATI Radeon E4870 MXM Module Top Performance for Stream Computing GLOPS Peak single precision Up to 240 GFLOPS double-precision 800 stream processors 115 GB/s Memory Interface 256 bits wide 1 GB GDDR5 on the module MXM Module MXM 3.0 Type II Limited availability Targeted for engineering demos See an AMD Embedded Sales Representative 18 18

19 ONLY AMD! 19

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