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
- James Bond's 'Spectre' teased in first trailer
- Slack rolling out two-factor authentication after data breach
- Hotels embracing RFID finding plenty of upside to tracking technology
- Rockstar Games makes us drool with more GTA 5 PC images in 4K
- Drones are being enjoyed by Hollywood, filming unique shots
- D1800M not recognizing LSI PCIe RAID card
- Haswell-E imploded, or something like that...
- X99 Extreme4 even less memory availabe to 32-Bit OS after 1.80 BIOS
- Jenkins J10 Black Earphones Review - $3 can go a long way
- Z68 bios update to 2.2 no win boot.. where is old bios (1.40)
- Xilence Announces 402 C-Series CPU Coolers
- BIOSTAR reveals Hi-Fi B85Z5 Motherboard
- Acer Debuts the 15.6-Inch C910 Chromebook
- Antec Announces the VSP-5000 Case with Sound-Dampening
- MSI Launches New mini-PC - Cubi