kaletap / bfs-cuda-gpu
Implementation of parallel Breadth First Algorithm for graph traversal using CUDA and C++ language.
☆31Updated 5 years ago
Alternatives and similar repositories for bfs-cuda-gpu:
Users that are interested in bfs-cuda-gpu are comparing it to the libraries listed below
- BGHT: High-performance static GPU hash tables.☆61Updated 5 months ago
- Implementation of breadth first search on GPU with CUDA Driver API.☆47Updated 3 years ago
- An extension library of WMMA API (Tensor Core API)☆90Updated 7 months ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆28Updated last year
- ☆89Updated 10 months ago
- 🎃 GPU load-balancing library for regular and irregular computations.☆62Updated 8 months ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆86Updated 2 years ago
- Dissecting NVIDIA GPU Architecture☆88Updated 2 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆52Updated last year
- ❤️ CUDA/C++ GPU graph analytics simplified.☆31Updated 2 years ago
- My notes on various HPC papers.☆21Updated 2 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆125Updated 4 years ago
- Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite☆64Updated 6 years ago
- Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"☆28Updated 4 years ago
- GPU Performance Advisor☆64Updated 2 years ago
- A warp-oriented dynamic hash table for GPUs☆74Updated last year
- ☆25Updated 10 months ago
- CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels☆32Updated 3 years ago
- Implementation and analysis of five different GPU based SPMV algorithms in CUDA☆38Updated 6 years ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆19Updated 3 weeks ago
- A Library for fast Hash Tables on GPUs☆114Updated 2 years ago
- Code for paper "Engineering a High-Performance GPU B-Tree" accepted to PPoPP 2019☆56Updated 2 years ago
- ☆30Updated 2 years ago
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆104Updated 2 weeks ago
- Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involveme…☆17Updated 10 months ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 4 years ago
- A simple profiler to count Nvidia PTX assembly instructions of OpenCL/SYCL/CUDA kernels for roofline model analysis.☆50Updated last year
- ☆43Updated 4 years ago
- NUMA-aware multi-CPU multi-GPU data transfer benchmarks☆22Updated last year