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BRUGSANVISNING FireStream 9170 2GB AMD

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Simple geometric shape with white and green diagonal division (no text or symbols)AMD

Smarter Choice
AMD FireStream Stream Processors and FireStream SDK
November 2007
Agenda

•IAMD & Stream Computing
•IIntroducing the AMD FireStreamI9170
•IAMD FireStreamISoftware Development Tools

General Purpose GPU: Platform Processing Acceleration

Huge potential for acceleration of data parallel workloads
- Using the parallel processing capabilities of the GPU for computation
Highly efficient in handling massive amounts of data processing
- Supports 1000's of concurrent threads
Where the algorithm is well-suited to the architecture, dramatic improvements in several key metrics vs. current CPUs alone
- GFLOPS per Watt and per \$

flowchart
graph TD
A["Command Processor"] --> B["Setup Engine"]
B --> C["Ultra-Threaded Dispatch Processor"]
C --> D["Stream Processing Units"]
D --> E["Render Back-Ends"]
E --> F["Shader Export"]
F --> G["Color Cache"]
G --> H["25Mini Game"]
H --> I["Supervision Congress"]
I --> J["Memory Read/Wit Cache"]
J --> K["Intermediates"]
K --> L["Cammetry Assembler"]
L --> M["Programmable Interconnects"]
M --> N["Venter Assembler"]
N --> O["Texture Units"]
O --> P["L1 Texture Controller"]
P --> Q["Verilog Cache"]
Q --> R["SPIFY Chain Self Cache"]
R --> S["SPAY Buffer Set Cache"]
S --> T["Lateral Cache"]
T --> U["Code Manager"]
U --> V["Scan Converter / Bootwriter"]
V --> W["Intermediates"]
W --> X["Stream Converdler / Bootwriter"]
X --> Y["Configuration Interface"]
AMD Stream Computing:
HPC Acceleration + Mainstream Efficiency Gains
AMD

Smarter Choice
Stream
Computing
Products
FireStream Processors

Discrete
Stream
Processor Business
Markets
•Oil and Gas
•Research
•Engineering

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3D rendered abstract sculpture of a hand holding a knife, displayed within a software interface (no visible text or symbols on the sculpture itself)

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Close-up of an AMD Opteron CPU chip and a red CPU socket (no visible text or symbols)Products
•AMD processors and GPUs for PCs and workstations
Acceleration for Mainstream Applications

Markets
•Gaming
-Search
•Consumer Video
Stream Computing Market Opportunity

Smarter Choice
• Accelerate critical computational algorithms
- HPC: Computational chemistry, seismic processing, atmospheric research, engineering, financial analysis
- Embedded OEM: Signal processing, medical imaging
- Commercial/consumer: Search, security, video editing, video games

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3D protein structure visualization with red and blue ribbons, no text or labels present
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3D rendered anatomical model of internal organs with color-coded regions, displayed within a software interface (no text or symbols on the model itself)

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Portrait of a woman with shoulder-length dark hair (no text or symbols visible)New Stream Computing Products
AMD

Smarter Choice
AMD FireStream 9170 Stream Processor
First Stream processor with double-precision floating point

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AMD 74963808 CPU card with visible cooling fan and heatsink (no text or symbols on card body)AMD FireStream SDK
Open systems approach to drive broad customer adoption

flowchart
graph TD
A["Compilers Libraries"] --> B["Brook+"]
C["3rd Party Tools"] --> D["ACML/Cobra"]
C --> E["Rapidmind"]
F["Compute Abstraction Layer (CAL)"] --> G["AMD Multicore CPUs"]
F --> H["AMD Stream Processors"]
I["Graphics API Direct X Baardia"] --> F
style F fill:#f9f,stroke:#333
style G fill:#ccf,stroke:#333
style H fill:#cfc,stroke:#333
AMD FireStream 9170 Stream Processor Designed for Performance and Efficiency

- First GPU with double-precision floating point
• 320 stream cores - Up to 512 GFLOPS single-precision performance*
• 55nm process technology - <150W power consumption drives over 3 GFLOPS/Watt!
- 2GB on-board memory
• Asynchronous DMA
• Supported in variety of server and desktop systems
• MSRP: \$1999

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Front view of a AMD FireStream processor with visible internal components and a meshed fan structure (no readable text or symbols)*Based on 320 stream cores and engine clock rates of 775-800MHz
FireStream SDK Software Development Stack
AMD

Smarter Choice

flowchart
graph TD
A["Compilers"] --> B["Brook+"]
C["Libraries"] --> D["ACML/Cobra"]
E["Available 3rd Party Tools"] --> F["Rapidmind"]
G["Compute Abstraction Layer (CAL)"] --> H["Computers"]
I["AMD Runtime"] --> J["Computers"]
K["Graphics API\nDirect X\nOpenGL"] --> L["Computers"]
M["AMD Multicore CPUs"] --> N["Computers"]
O["AMD Stream Processors"] --> P["Computers"]
Compute Abstraction Layer The Evolution of "Close to the Metal"

- Provides low-level access to GPU architecture
• Published instruction set architecture (ISA) and intermediate language (IL) - Allow developers to write in Brook+ or other HLL; then tune performance at low level
• Forward compatibility from R600 to future GPUs - Implements new features: DX10, DP-FP


FireStream Software Development Kit High-level Development Tools

- Brook+
– High-level language, C extensions for the GPU
- Based on Brook from Stanford; AMD enhancements will be open-sourced
- Libraries
- AMD's math library ACML provides GPU-accelerated math functions; COBRA video library accelerates video transcode
- 3^rd Party Tools
- Tools and libraries from RapidMind, etc
Compilers Libraries
Available 3 ^rd Party Tools
Brook+
ACML/Cobra
Rapidmind
Open Systems Strategy Drives Adoption

- IOpen IL and ISA specifications ensure developers can optimize performance
-ISupporting AMD Brook+ along with other 3^rd party high-level tools to provide a choice of familiar development environments - IOpen-source Linux drivers and AMD-enhanced Brook+ enable developers to modify and retarget tools as needed
-IAMD partners with systems vendors and integrators to deliver system solutions

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Close-up of a metallic padlock with chain links on a textured wooden surface (no text or symbols visible)AMD Stream Computing: In Summary

- AMD FireStream 9170 Stream Processor: first GP-GPU with double-precision floating point
• AMD FireStream SDK: Open systems approach drives broad adoption
• AMD expertise in GPUs, CPUs and software: capable of delivering integrated hardware and tools today - Provides a path to next-generation heterogeneous compute architectures in the data center
