hgpu.org » AMD Radeon Pro 5500M
Reese Levine, Mingun Cho, Devon McKee, Andrew Quinn, Tyler Sorensen
Tags: AMD Radeon Pro 5500M, ATI, Computer science, Memory model, nVidia, nVidia GeForce RTX 3080, nVidia Tegra TX1, OpenCL, Performance
June 11, 2023 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- Profiling Apple Silicon Performance for ML Training
- Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis
- Column-Oriented Datalog on the GPU
- CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
- GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism
- SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs
- Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
- LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
- Compiler Support for Speculation in Decoupled Access/Execute Architectures
- Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU
* * *