hgpu.org » Software development
Stefan Lemvig Glimberg, Allan Peter Engsig-Karup, Allan S. Nielsen, Bernd Dammann
Tags: Computer science, CUDA, GPGPU, iterative methods, Mathematics, multigrid, Package, parallel computing, Partial differential equations, Software development
March 12, 2014 by apek
Recent source codes
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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
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