hgpu.org » nVidia GeFofce GTX Titan X
Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang
Tags: Artificial intelligence, Computer science, CUDA, Deep learning, Heterogeneous systems, Machine learning, Neural networks, nVidia, nVidia GeFofce GTX Titan X, Package, Tesla K40
May 30, 2016 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations
- Hardware Acceleration for Neural Networks: A Comprehensive Survey
- Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
- The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
- AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
- SeedFold: Scaling Biomolecular Structure Prediction
- Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
- KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
- GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs
- Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs
* * *




