Visit additional Tabor Communication Publications
June 18, 2012
HAMBURG, Germany, June 18 -- Mellanox Technologies, Ltd., a leading supplier of high-performance, end-to-end interconnect solutions for data center servers and storage systems, today announced support for the new generation of NVIDIA GPUDirect technology. NVIDIA GPUDirect technology dramatically accelerates communications between GPUs by providing a direct peer-to-peer communication data path between Mellanox’s scalable HPC adapters and NVIDIA GPUs, without transferring data to the CPU or server memory subsystem.
Without GPUDirect, GPU data must first be copied into the system memory before going over the network. Now, the interconnect and GPU are tightly linked with data exchanges directly between the two devices over a PCI Express 3.0 bus, completely bypassing the CPU and the system memory. This direct-connected approach enabled by GPUDirect delivers faster communications between GPUs across different systems by as much as 80 percent, while reducing the end-to-end latency.
“The high performance and compute density of GPUs have made them a compelling solution for computationally intensive HPC applications,” said Gilad Shainer, vice president of market development at Mellanox Technologies. “To ensure the highest level of application performance, scalability and efficiency, the communication between GPUs within a cluster must be performed as quickly as possible. GPUDirect enables NVIDIA GPUs and Mellanox ConnectX-3 adapters to provide an optimum GPU clustering technology.”
“Mellanox’s support for GPUDirect helps users maximize their cluster performance,” said Sumit Gupta, senior director of the Tesla business at NVIDIA. “The ability to transfer data directly to and from GPU memory dramatically speeds up system and application performance, enabling users to run computationally intensive code and get answers faster than ever before.”
GPU-based clusters are widely used for computationally-intensive tasks, such as seismic processing, computation fluid dynamics and molecular dynamics. Since the GPUs perform high-performance floating point operations over a very large number of cores, a high-speed interconnect is required to connect between the platforms to deliver the necessary bandwidth and latency for the clustered GPUs to operate efficiently and alleviate any bottlenecks in the GPU-to-GPU communication path.
Mellanox ConnectX based adapters are the world’s only InfiniBand solutions that provide full offloading capabilities critical to avoiding CPU interrupts, data copies and systems noise, while maintaining high efficiencies for GPU-based clusters. Combined with the availability of NVIDIA GPUDirect, Mellanox InfiniBand solutions are driving HPC environments to new levels of performance and scalability.
Mellanox Technologies is a leading supplier of end-to-end InfiniBand and Ethernet interconnect solutions and services for servers and storage. Mellanox interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance capability. Mellanox offers a choice of fast interconnect products: adapters, switches, software and silicon that accelerate application runtime and maximize business results for a wide range of markets including high performance computing, enterprise data centers, Web 2.0, cloud, storage and financial services. More information is available at www.mellanox.com.
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Supercomputing veteran, Bo Ewald, has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx. He has put his weight behind quantum company....
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.