Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
☆16Feb 28, 2019Updated 7 years ago
Alternatives and similar repositories for caffe-escoin
Users that are interested in caffe-escoin are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- New batched algorithm for sparse matrix-matrix multiplication (SpMM)☆16May 7, 2019Updated 7 years ago
- ☆18Oct 15, 2020Updated 5 years ago
- An expression template based linear algebra library running completely on the GPU using CUDA☆26Jun 24, 2021Updated 5 years ago
- A Vector Caching Scheme for Streaming FPGA SpMV Accelerators☆10Sep 7, 2015Updated 10 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆35Jul 28, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceler…☆32Jun 26, 2024Updated 2 years ago
- Repository holding the code base to AC-SpGEMM : "Adaptive Sparse Matrix-Matrix Multiplication on the GPU"☆31Jul 7, 2020Updated 6 years ago
- GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators☆34Apr 3, 2022Updated 4 years ago
- Contains the code for my Imperial College London Master's thesis on text summarization☆11Oct 25, 2022Updated 3 years ago
- MPI+Kokkos implementation of spectral difference method (SDM) high order schemes☆30Feb 2, 2025Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆74Oct 5, 2020Updated 5 years ago
- ☆40Feb 28, 2020Updated 6 years ago
- Incredible acceleration with pruning or the other compression techniques☆13Jul 7, 2021Updated 5 years ago
- Implementation and analysis of five different GPU based SPMV algorithms in CUDA☆39Feb 5, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.☆13Nov 3, 2023Updated 2 years ago
- ☆32Aug 24, 2022Updated 4 years ago
- flexible-gemm conv of deepcore☆17Dec 2, 2019Updated 6 years ago
- CUDA Sparse-Matrix Vector Multiplication, using Sliced Coordinate format☆22Jun 8, 2018Updated 8 years ago
- Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.☆55Apr 25, 2017Updated 9 years ago
- OCCA Python API: JIT Compilation for Multiple Architectures☆11Dec 20, 2019Updated 6 years ago
- Subpart source code of of deepcore v0.7☆27Jun 28, 2020Updated 6 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆61Jul 18, 2023Updated 3 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆20Jan 31, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Offline renderer using CUDA☆13Jun 8, 2020Updated 6 years ago
- Record GPU memory accesses of a CUDA program and visualize the access pattern in a browser☆13Nov 17, 2020Updated 5 years ago
- ☆115Jul 3, 2021Updated 5 years ago
- GPU implementation of Winograd convolution☆10Oct 23, 2017Updated 8 years ago
- Parallel cuckoo hashing on GPUs with CUDA☆12Sep 27, 2019Updated 6 years ago
- 🔮 High-performance kaleidoscope effects for real-time applications☆15Updated this week
- This is a tuned sparse matrix dense vector multiplication(SpMV) library☆23Mar 21, 2016Updated 10 years ago
- Public Release of Stream-Dataflow☆14May 17, 2019Updated 7 years ago
- ☆10Apr 24, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- GEMM and Winograd based convolutions using CUTLASS☆28Jul 15, 2020Updated 6 years ago
- BWA-MEM program accelerated with the GASAL2 library☆19Sep 2, 2019Updated 7 years ago
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 8 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆48May 22, 2024Updated 2 years ago
- Explained QNNPACK Implementation☆22Sep 20, 2025Updated 11 months ago
- GPU-Accelerated Faster Decoding of Integer Lists☆13Aug 20, 2019Updated 7 years ago
- Parallel implementation of k-means clustering using MPI4PY and PyCUDA.☆10Mar 11, 2019Updated 7 years ago