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)
- Performance Portable Gradient Computations Using Source Transformation
- ConTraPh: Contrastive Learning for Parallelization and Performance Optimization
- Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling
- Understanding the Landscape of Ampere GPU Memory Errors
- Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks
- SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching
- GBOTuner: Autotuning of OpenMP Parallel Codes with Bayesian Optimization and Code Representation Transfer Learning
- DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme
- Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference
- OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
* * *