Find link

language:

jump to random article

Find link is a tool written by Edward Betts.

Longer titles found: Nvidia Tesla Personal Supercomputer (view)

searching for Nvidia Tesla 32 found (117 total)

alternate case: nvidia Tesla

Amazon Luna (867 words) [view diff] exact match in snippet view article find links to article

paid subscription. Luna uses the Windows Server operating system and Nvidia Tesla T4 graphics cards from Amazon Web Services for streaming games, and is
Cray XC50 (763 words) [view diff] case mismatch in snippet view article find links to article
processors, as well as Cavium ThunderX2 processors, Xeon Phi processors and NVIDIA Tesla P100 GPUs. The processors are connected by Cray's proprietary "Aries"
POWER8 (3,443 words) [view diff] exact match in snippet view article find links to article
Systems S822LC "Firestone" – 2× POWER8 SCM (8 or 10 cores), 2U. Two Nvidia Tesla K80 GPUs and up to 1 TB commodity DDR3 RAM. Manufactured by Wistron.
Pittsburgh Supercomputing Center (1,050 words) [view diff] case mismatch in snippet view article find links to article
Enterprise system with 27,400 cores, 88 NVIDIA Volta V100s, 32 NVIDIA Tesla K80s, and 64 NVIDIA Tesla P100s. This system is shared with XSEDE researchers, and
SHARCNET (470 words) [view diff] case mismatch in snippet view article find links to article
"Graham - Huawei X6800 V3, Xeon E5-2683 v4 16C 2.1GHz, Infiniband EDR/FDR, NVIDIA Tesla P100". Top500. Top 500. Retrieved 2019-06-17. "SHARCNET Fact Sheet".
Ohio Supercomputer Center (697 words) [view diff] case mismatch in snippet view article find links to article
Multiprocessing (SMP) style jobs 160 nodes have 28 cores, 128 GB or memory, and 1 NVIDIA Tesla P100 GPU Theoretical system peak performance 750 teraflops (CPU only)
Brutus cluster (491 words) [view diff] exact match in snippet view article find links to article
GPUs) 2 nodes with two 6-core AMD Opteron 2435 CPUs, 32 GB of RAM and 6 Nvidia Tesla C1060 GPUs (24 cores + 12 GPUs) 2 nodes with two 6-core AMD Opteron 2435
Carter (supercomputer) (754 words) [view diff] case mismatch in snippet view article
node), either 32 gigabytes or 64 GB of memory, and a 500 GB system disk. NVIDIA Tesla GPU-accelerated nodes also are available. All nodes have 56 Gbit/s FDR
Supercomputing in Japan (1,212 words) [view diff] case mismatch in snippet view article find links to article
collaboration with NEC and HP, and has 1,400 nodes using both HP Proliant and NVIDIA Tesla processors. The RIKEN MDGRAPE-3 for molecular dynamics simulations of
Taiwania (supercomputer) (842 words) [view diff] case mismatch in snippet view article
QuantaGrid D52G-4U/LC, Xeon Gold 6154 18C 3GHz, Mellanox InfiniBand EDR, NVIDIA Tesla V100 SXM2". www.top500.org. top500. Retrieved 6 August 2019. Asia, DigiTimes
Mobile PCI Express Module (396 words) [view diff] exact match in snippet view article find links to article
A570M 2048:128:64 5.3 Arc A730M 2022 DG2-512 3072:192:96 12.6 120 W Nvidia Tesla M6 2015-11 Type-B GM204 Maxwell 2.0 1536:96:48 3.0 100 W Quadro K610
Acceleware (824 words) [view diff] case mismatch in snippet view article find links to article
calculations on a GPU-enhanced cluster" (PDF). 2007. "ROB TV". 2007. "NVIDIA Tesla Personal Supercomputer". 2008. "Acceleware Announces $2.5 Million Agreement
FeiTeng (799 words) [view diff] exact match in snippet view article find links to article
theoretical peak performance of 4.701 petaflops, also employing 7,168 Nvidia Tesla M2050 GPUs and 14,336 Intel Xeon X5670 CPUs in addition to FT1000 processors
HEAVY.AI (866 words) [view diff] exact match in snippet view article find links to article
Going – Here's How". Nvidia. Taft, Darryl (July 9, 2015). "IBM Puts Nvidia Tesla K80 GPU on SoftLayer Cloud". eWeek. Janjigian, Lori (November 7, 2016)
Supercomputing in Pakistan (1,590 words) [view diff] case mismatch in snippet view article find links to article
(384 GB in total), 600 GB Secondary Memory/ compute node (1.8 TB in total) NVIDIA Tesla M2090 Graphical Processing Unit (GPU) with 1024 GPU cores: This facility
TOP500 (6,108 words) [view diff] case mismatch in snippet view article find links to article
4,356 nodes, each one equipped with two 22-core POWER9 CPUs, and six NVIDIA Tesla V100 GPUs. The nodes are linked together with a Mellanox dual-rail EDR
Texas Advanced Computing Center (2,229 words) [view diff] case mismatch in snippet view article find links to article
visualization and GPU computing to the national community. Visualization: 132 NVIDIA Tesla K40 GPUs TACC-developed remote vis software: ScoreVIS, DisplayCluster
Guacolda-Leftrarú (371 words) [view diff] exact match in snippet view article find links to article
2 Dell PowerEdge R740 nodes Dual Intel Xeon 6152, 192 GB RAM, and 2 Nvidia Tesla V100 GPU each node CPU cores 2.596 Memory 16,5 TB RAM Storage 312 TB
Christofari (1,297 words) [view diff] case mismatch in snippet view article find links to article
10 kW CPU — Dual Intel Xeon Platinum 8168, 2.7 GHz, 24-cores GPUs — 16X NVIDIA Tesla V100 GPU Memory — 512 GB total NVIDIA CUDA Cores — 81920 NVIDIA Tensor
Arm Holdings (6,386 words) [view diff] case mismatch in snippet view article find links to article
XC50 blades outfitted with Intel Xeon-SP or Xeon Phi processors and NVIDIA Tesla GPUs. Both air-cooled and liquid-cooled options are available. Cray already
Inspur Server Series (1,435 words) [view diff] case mismatch in snippet view article find links to article
required by AI workloads and applications. AGX-5 is equipped with 16 NVIDIA Tesla® V100 Tensor Core GPUs interconnected in one single system via NVSwitch
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (2,387 words) [view diff] case mismatch in snippet view article find links to article
in total), 600 GB Secondary Memory/ compute node (1.8 TB in total). NVIDIA Tesla M2090 Graphical. Dell Power Connect 8024F layer-3 manageable switch:
CDNA (microarchitecture) (1,857 words) [view diff] case mismatch in snippet view article
AnandTech. "NVIDIA Tesla V100 PCIe 16GB". TechPowerUp. Smith, Ryan (December 19, 2022). "Nvidia Volta Unveiled". AnandTech. "NVIDIA Tesla V100 SXM3 32GB"
Muon g-2 (3,346 words) [view diff] case mismatch in snippet view article find links to article
employing parallel data-processing architecture using 24 high-speed GPUs (NVIDIA Tesla K40) to process data from 12 bit waveform digitisers. The set-up is controlled
Multidimensional DSP with GPU acceleration (2,902 words) [view diff] case mismatch in snippet view article find links to article
Lindholm, E.; Nickolls, J.; Oberman, S.; Montrym, J. (2008-03-01). "NVIDIA Tesla: A Unified Graphics and Computing Architecture". IEEE Micro. 28 (2):
Direct Rendering Manager (10,084 words) [view diff] case mismatch in snippet view article find links to article
5100, Iris Pro Graphics 5200 integrated GPUs. Yes Active nouveau 2.6.33 NVIDIA Tesla, Fermi, Kepler, Maxwell based GeForce GPUs, Tegra K1, X1 SoC Partial
Supercomputing in Europe (5,169 words) [view diff] case mismatch in snippet view article find links to article
"Prometheus - HP Apollo 8000, Xeon E5-2680v3 12C 2.5GHz, Infiniband FDR, NVIDIA Tesla K40". TOP500. Retrieved 20 May 2018. "Galera - ACTION Cluster Xeon E5345
Mesa (computer graphics) (9,313 words) [view diff] exact match in snippet view article
Optimization of drivers for older hardware like AMD R600/Evergreen, Nvidia Tesla and before, Fermi, Kepler or Intel Sandybridge, Ivybridge, Haswell or
Exscalate4Cov (2,560 words) [view diff] case mismatch in snippet view article find links to article
IL CORONAVIRUS". "HPC5 - PowerEdge C4140, Xeon Gold 6252 24C 2.1GHz, NVIDIA Tesla V100, Mellanox HDR Infiniband | TOP500". www.top500.org. Retrieved 9
Discrete logarithm records (3,413 words) [view diff] case mismatch in snippet view article find links to article
they used their own software based on the Pollard Kangaroo on 256x NVIDIA Tesla V100 GPU processor and it took them 13 days. Two weeks earlier - They
Tensor (machine learning) (4,104 words) [view diff] case mismatch in snippet view article
"First In-Depth Look at Google's TPU Architecture". The Next Platform. "NVIDIA Tesla V100 GPU Architecture" (PDF). 2017. Armasu, Lucian (2017). "On Tensors
Blender (software) (8,699 words) [view diff] exact match in snippet view article
2013 Rendering performance is improved for CPUs and GPUs, support for Nvidia Tesla K20, GTX Titan and GTX 780 GPUs. Smoke rendering improved to reduce blockiness