NVIDIA Tesla GPUs To Communicate Faster Over Mellanox InfiniBand Networks
New Software Solution Reduces Dependency on CPUs
PORTLAND, Ore.- SC09-Nov. 18, 2009-NVIDIA Corporation (Nasdaq: NVDA) and Mellanox Technologies Ltd. today introduced new software that will increase cluster application performance by as much as 30% by reducing the latency that occurs when communicating over Mellanox InfiniBand to servers equipped with NVIDIA Tesla GPUs.
The system architecture of a GPU-CPU server requires the CPU to initiate and manage memory transfers between the GPU and the InfiniBand network. The new software solution will enable Tesla GPUs to transfer data to pinned system memory that a Mellanox InfiniBand solution is able to read and transmit over the network. The result is increased overall system performance and efficiency.
"NVIDIA Tesla GPUs deliver large increases in performance across each node in a cluster, but in our production runs on TSUBAME 1 we have found that network communication becomes a bottleneck when using multiple GPUs," said Prof. Satoshi Matsuoka from Tokyo Institute of Technology. "Reducing the dependency on the CPU by using InfiniBand will deliver a major boost in performance in high performance GPU clusters, thanks to the work of NVIDIA and Mellanox, and will further enhance the architectural advances we will make in TSUBAME2.0."
"In GPU-based clusters, most of the compute intensive processing is running on the GPUs," said Gilad Shainer, director of high performance computing and technical marketing at Mellanox Technologies. "It's a natural evolution of the system architecture to enable GPUs to communicate more intelligently over InfiniBand. This helps create a computing platform that will enable future Exascale computing and dramatically increase performance for a broad spectrum of applications."
"Anyone who cares about performance in their datacenter uses InfiniBand," said Andy Keane, general manager, Tesla business at NVIDIA. "This new feature will further improve application performance on GPU-based clusters by reducing the dependency on the CPU for communicating over InfiniBand."
This software capability will be available in the NVIDIA CUDA architecture toolkit beginning in Q2 2010 and will work on existing Tesla S1070 1U computing systems and Tesla M1060 module-based clusters and also with the new Tesla 20-series S2050 and S2070 1U systems.
NVIDIA awakened the world to the power of computer graphics when it invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry for two years in a row. For more information, see http://www.nvidia.com.
Latest News Posts
- iPhone 8 prices to allegedly start from $1,100 to $1,200
- Corsair majority stake bought for $525 million
- Google Daydream to have 11 devices by the end of 2017
- Nokia's flagship will be announced on August 16th
- Nintendo hits $1.37 billion in net sales in Q1 earnings
- Toshiba N300 8TB High-Reliability HDD Review
- Alphacool Eiswand External CPU Liquid Cooler Review
- Team T-Force Night Hawk RGB DDR4-3000 RAM Kit Review
- Phanteks Evolv Shift SFF Chassis Review
- GIGABYTE X299 AORUS Gaming 7 Motherboard Review
- Need for Speed Payback takes cars from scrap to stock to supercar in new trailer
- Visbit releases Unity SDK and web VR player for its all-in-one VR streaming service, bringing high quality VR streaming to the masses
- GWENT Gamescom 2017 tournament announced
- Toshiba NVMe SSDs now available with Lenovo's new ThinkSystem and ThinkAgile servers
- Mafia III: Sign of the Times DLC now available