maltanar / gemmbitserialLinks
Fast matrix multiplication for few-bit integer matrices on CPUs.
☆28Updated 6 years ago
Alternatives and similar repositories for gemmbitserial
Users that are interested in gemmbitserial are comparing it to the libraries listed below
Sorting:
- Quantize weights and activations in Recurrent Neural Networks.☆95Updated 7 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 4 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.☆400Updated 2 years ago
- ☆47Updated 6 years ago
- Implementation of convolution layer in different flavors☆68Updated 8 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 8 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 7 years ago
- This is a collection of works on neural networks and neural accelerators.☆41Updated 6 years ago
- Low Precision Arithmetic Simulation in PyTorch☆291Updated last year
- ☆68Updated 2 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- Codebase associated with the PyTorch compiler tutorial☆47Updated 6 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆90Updated 3 years ago
- Highly optimized inference engine for Binarized Neural Networks☆251Updated last week
- GEMM and Winograd based convolutions using CUTLASS☆28Updated 5 years ago
- Fast sparse deep learning on CPUs☆56Updated 3 years ago
- int8_t and int16_t matrix multiply based on https://arxiv.org/abs/1705.01991☆74Updated 2 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193Updated 6 years ago
- Explore the energy-efficient dataflow scheduling for neural networks.☆233Updated 5 years ago
- Efficient forward propagation for BCNNs☆49Updated 8 years ago
- Visualize TVM Relay program graph☆12Updated 6 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated last month
- Training neural networks in TensorFlow 2.0 with 5x less memory☆137Updated 3 years ago
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆27Updated 6 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 6 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆73Updated 9 years ago
- Training neural networks with 8-bit computations☆28Updated 9 years ago