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The Emergence of DPUs in HPCSeptember 16th @ 10am CST
(Valid NDA with Dell Technologies required to attend this presentation) |
Presentations
Here Comes the DPU to Accelerate your GPU Server
High performance computing and Artificial Intelligence are the most essential tools fueling the advancement of science. NVIDIA A100 GPUs, DGX and HDR InfiniBand network technologies are the engine of the modern HPC data center, delivering breakthrough performance with fewer servers resulting in faster insights and dramatically lower costs. Over 700 GPU-accelerated applications in a broad range of domains are optimized for GPUs, including all 15 of the top 15 HPC applications and every major deep learning framework.
NVIDIA Mellanox HDR InfiniBand enables extremely low latencies, high data throughput, and includes high-value features such as smart In-Network Computing acceleration engines via Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) technology, high network resiliency through SHIELD’s self-healing network capabilities, MPI offloads, enhanced congestion control and adaptive routing characteristics.
These capabilities deliver leading performance and scalability for compute and data-intensive applications, and a dramatic boost in throughput and cost savings, paving the way to scientific discovery.
NVIDIA Mellanox HDR InfiniBand enables extremely low latencies, high data throughput, and includes high-value features such as smart In-Network Computing acceleration engines via Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) technology, high network resiliency through SHIELD’s self-healing network capabilities, MPI offloads, enhanced congestion control and adaptive routing characteristics.
These capabilities deliver leading performance and scalability for compute and data-intensive applications, and a dramatic boost in throughput and cost savings, paving the way to scientific discovery.
About the Speakers
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Marc Hamilton, VP of Solutions Architecture and Engineering, NVIDIA
Marc Hamilton is Vice President of Solutions Architecture and Engineering at NVIDIA. Marc leads the worldwide solutions architecture and engineering team working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for artificial intelligence, professional visualization, and high performance computing. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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Gilad Shainer, Senior VP of Marketing, NVIDIA
Gilad Shainer serves as senior vice-president of marketing for Mellanox networking at NVIDIA, focusing on high- performance computing, artificial intelligence and the InfiniBand technology. Mr. Shainer joined Mellanox in 2001 as a design engineer and later served in senior marketing management roles since 2005. Mr. Shainer serves as the chairman of the HPC-AI Advisory Council organization, the president of UCF and CCIX consortiums, a member of IBTA and a contributor to the PCISIG PCI-X and PCIe specifications. Mr. Shainer holds multiple patents in the field of high-speed networking. He is a recipient of 2015 R&D100 award for his contribution to the CORE-Direct In-Network Computing technology and the 2019 R&D100 award for his contribution to the Unified Communication X (UCX) technology. Gilad Shainer holds a MSc degree and a BSc degree in Electrical Engineering from the Technion Institute of Technology in Israel.
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(Valid NDA with Dell Technologies required to attend this presentation)
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