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Xilinx SDAccel in IBM’s SuperVessel cloud revolutionizes application development in FPGA-Based Architectures

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Xilinx and IBM announce that they will be enabling FPGA-based acceleration within the SuperVessel OpenPOWER development cloud. Xilinx SDAccel Development Environment will leverage performance for demanding applications including big data analytics and machine learning, hosted in SuperVessel.

SDAccel allows application developers to describe their algorithms in OpenCL, C, and C++ and compile directly to Xilinx FPGA-based acceleration boards. The hosted environment will make FPGA-based application development faster and more accessible to a broad global community of developers.

SuperVessel is claimed to be first-of-its-kind open access cloud service that acts as a virtual R&D engine for application developers, system designers, and academic researchers to create, test and pilot solutions for emerging applications including deep analytics, machine learning and the Internet of Things.

Whereas, Xilinx SDAccel Development Environment is a complete software-defined Integrated Development Environment (IDE) that enables developers to compile, profile, debug and deploy FPGA-based acceleration. The combination of the SuperVessel, IBM POWER architecture, SDAccel Development Environment, and Xilinx FPGA accelerator boards provides application developers with a high throughput, high availability cloud based platform to develop and execute compute intensive applications.

“SDAccel in the SuperVessel cloud is an important vehicle enabling developers to easily develop and accelerate applications using FPGAs,” said Sumit Gupta, vice president, High Performance Computing & Data Analytics at IBM.

“Availability of SDAccel in SuperVessel is another milestone reached in the development of application acceleration on the IBM POWER architecture and will provide a compelling solution for those seeking to accelerate emerging data center applications,” said Andy Walsh, senior director of data center business at Xilinx. “It has already shown great promise to accelerate workloads in the data center.”

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