hgpu.org » nVidia Quadro K 1200
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, nVidia Quadro K 1200, Package, Speech recognition
December 10, 2015 by hgpu
Recent source codes
RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform
RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform
* * *
Most viewed papers (last 30 days)
- DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
- Deep Kernel Fusion for Transformers
- StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
- Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards
- Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A
- Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent
- CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
- Joint Training on AMD and NVIDIA GPUs
- A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
- Fine-Tuning GPT-5 for GPU Kernel Generation
* * *




