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The World’s First GPU Accelerator with 1TB/s Memory Bandwidth AMD FirePro™ S9300 x2 Server GPU


The World’s First GPU Accelerator with 1TB/s Memory Bandwidth AMD FirePro™ S9300 x2 Server GPU


Accelerate complex HPC workloads in data analytics and signal processing using C++ or OpenCL™ with the fastest 32-bit compute GPU accelerator that introduces up to 13.9 TFLOPS of peak single-precision compute performance.1,2,3


Accelerate complex HPC workloads in data analytics and signal processing using C++ or OpenCL™ with the fastest 32-bit compute GPU accelerator that introduces up to 13.9 TFLOPS of peak single-precision compute performance.1,2,3


The AMD FirePro™ S9300 x2 Server GPU supports the new Radeon Open Compute Platform (ROCm). ROCm is designed specifically to meet the needs of the HPC community, and consists of the following key components.


The AMD FirePro™ S9300 x2 Server GPU supports the new Radeon Open Compute Platform (ROCm). ROCm is designed specifically to meet the needs of the HPC community, and consists of the following key components.


*New* Linux® 64-bit Driver *New* Linux® 64-bit Driver


Built from the ground up, this new open source Linux driver is designed specifically for GPU compute workloads.


Built from the ground up, this new open source Linux driver is designed specifically for GPU compute workloads.


*New* HCC Compiler *New* HCC Compiler


The AMD HCC Compiler allows you to compile your C++ code for acceleration on the AMD FirePro™ S9300 x2 GPU.


The AMD HCC Compiler allows you to compile your C++ code for acceleration on the AMD FirePro™ S9300 x2 GPU.


www.amd.com/firepro/hpc For more information visit


www.amd.com/firepro/hpc For more information visit


©2016 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD arrow, FirePro, and combinations thereof are trademarks of Advanced Micro Devices, Inc. in the United States and/or other jurisdictions. OpenCL is a trademark of Apple, Inc. and used by permission of Khronos. 1. The AMD FirePro™ S9300 x2 GPU is the first professional dual GPU accelerator card with HBM memory available as of March 31st, 2016. FP-186. 2. AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro™ S9300 x2 delivers up to 13.9 TFLOPS peak single-precision compute performance, while the NVIDIA Tesla M40 delivers up to 7 TFLOPS peak single-precision performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016:http:// www.nvidia.com/object/tesla-m40.html FP-187. 3. AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro™ S9300 x2 delivers 13.9 TFLOPS of peak single-precision compute performance. As of March 18th, 2016, NVIDIA’s fastest Tesla board is the Tesla K80, which delivers up to 8.73 TFLOPS of single- precision compute performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016 - http://www.nvidia.com/object/tesla-k80.html FP-189.


©2016 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD arrow, FirePro, and combinations thereof are trademarks of Advanced Micro Devices, Inc. in the United States and/or other jurisdictions. OpenCL is a trademark of Apple, Inc. and used by permission of Khronos. 1. The AMD FirePro™ S9300 x2 GPU is the first professional dual GPU accelerator card with HBM memory available as of March 31st, 2016. FP-186. 2. AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro™ S9300 x2 delivers up to 13.9 TFLOPS peak single-precision compute performance, while the NVIDIA Tesla M40 delivers up to 7 TFLOPS peak single-precision performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016:http:// www.nvidia.com/object/tesla-m40.html FP-187. 3. AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro™ S9300 x2 delivers 13.9 TFLOPS of peak single-precision compute performance. As of March 18th, 2016, NVIDIA’s fastest Tesla board is the Tesla K80, which delivers up to 8.73 TFLOPS of single- precision compute performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016 - http://www.nvidia.com/object/tesla-k80.html FP-189.


HIP Porting Tool HIP Porting Tool


The Heterogeneous-compute Interface for Portability (HIP) Tool allows developers to easily convert the majority of their CUDA code to C++.


The Heterogeneous-compute Interface for Portability (HIP) Tool allows developers to easily convert the majority of their CUDA code to C++.


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