InfiniBand Accelerates the Fastest Supercomputer in India

Mellanox FDR 56Gb/s InfiniBand solution provides India’s scientists with unprecedented application performance for groundbreaking research and development.

Eyal wolman CEO Melanox

Eyal wolman CEO Melanox

By Haim Haviv

On 19 Februay 2013 – Mellanox Technologies announced that the leading institute, India’s Centre for Development of Advanced Computing (C-DAC) utilizes its end-to-end FDR 56Gb/s InfiniBand solution to provide leading server and storage application performance for PARAM Yuva II — India’s fastest supercomputer.  C-DAC is the premier R&D organization of the Department of Electronics and Information Technology (DeitY), Ministry of Communications & Information Technology (MCIT) for carrying out R&D in IT, electronics and associated areas.

 PARAM Yuva – II, launched on 8February, provides more than half a Petaflop of raw computing power, using hybrid compute technology with compute co-processor and hardware accelerators.  C-DAC chose Mellanox’s robust, high-speed interconnect solution due to its performance, scalability, low power consumption, and high-efficiency data handling.

  “C-DAC’s HPC (high performance computing) programs are focused towards creating an eco-system to derive full benefits from HPC systems, to address grand challenge problems and to advance fundamental science, research and industrial competitiveness, ” said Dr. Pradeep Sinha, Senior Director, High Performance Computing at C-DAC. “Utilizing Mellanox FDR 56Gb/s InfiniBand interconnect solutions, the new PARAM Yuva – II cluster can provide our users with superior application performance to further research and development.”

“Providing India’s scientists with more computing power to conduct research will lead to more scientific breakthroughs for the nation and the rest of the world, ” said Marc Sultzbaugh, senior vice president of worldwide sales at Mellanox Technologies. “Our FDR InfiniBand solution provides India’s scientists with the performance, scalability and efficiency needed to meet the requirements of research workloads and simulations today and into the future.”

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