hgpu.org » AMD Radeon RX 580
Sebastian Mazza
Tags: Algorithms, AMD Radeon RX 580, ATI, Computer science, GLSL, nVidia, nVidia GeForce RTX 3090, Package, Rendering, Security, Thesis, Visualization, Vulkan
October 17, 2021 by hgpu
Johannes Drönner
Tags: AMD Radeon RX 580, ATI, Computer science, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan X, OpenCL, Sensing, Thesis, Visualization
May 16, 2021 by hgpu
Arya Mazaheri, Tim Beringer, Matthew Moskewicz, Felix Wolf, Ali Jannesari
Tags: AMD Radeon RX 580, ATI, Code generation, Computer science, CUDA, Deep learning, Neural networks, nVidia, nVidia GeForce GTX 1080 Ti, OpenCL, Performance, performance portability, Symbolic Computation, Vulkan
April 26, 2020 by hgpu
Hangchen Yu, Arthur Michener Peters, Amogh Akshintala, Christopher J. Rossbach
Tags: AMD Radeon RX 580, AMD RX Vega 64, ATI, Cloud, Code generation, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 1080, OpenCL, Package, Virtualization
March 1, 2020 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- Understanding NVIDIA Grace-Blackwell Unified Memory Through Placement-Controlled Microbenchmarks
- AI as a Compiler: Compiling Triton kernels without the Triton compiler
- AgentGarten: Code Worlds for Evolving Agents
- Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions
- HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills
- KernelLens: Deploying Triton Kernels to C++ Inference Engines
- A New Lens on Multi-GPU Communication: API-Level Memory Models for Portable Optimization
- A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation
- Introduction to Computer Vision
- ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action Inference
* * *



